Dynamic and artificial intelligence-supported digital data integration and verification platform

Abstract

The present invention relates to a method that, by focusing on a subject or a question, involves identifying all existing reliable sources on that subject, selecting the most important information from such sources and bringing them together in a multi-layered approach, and having the obtained draft content evaluated and scored by experts and the public, followed by filtering the accepted or rejected content through filters controlled by a panel of judges and artificial intelligence. This method creates a multi-layered and multi-user AI-supported digital data integration and verification platform, which dynamically updates the obtained information, ensuring users have access to the most accurate and up-to-date information. This process also allows for personalized queries, providing customization and comparison options for the content. Thus, it not only helps individual users and government institutions to make reliable and accurate decisions based on information but also ensures a comprehensive and dynamic data quality and security assurance system.

Description

[0001] DYNAMIC AND ARTIFICIAL INTELLIGENCE-SUPPORTED DIGITAL DATA INTEGRATION AND VERIFICATION PLATFORM

[0002] TECHNICAL FIELD

[0003] The present invention relates to digital content management and data security systems. Specifically, the invention relates to a comprehensive dynamic information quality and security assurance system designed to ensure data verification and content integrity through user participation and artificial intelligence support. More specifically, the invention relates to a digital platform developed to enhance the accuracy, integrity, and reliability of information through the integrated use of tiered real human knowledge and artificial intelligence technologies, thereby addressing technical problems related to data verification, security, and real-time content updating.

[0004] PRIOR ART

[0005] In the current digital age, with the inclusion of old printed sources into new digital content, the boundaries of information access are being pushed, and revolutionary changes are taking place in the scope and functionalities of information management systems. The rapid production and often uncontrolled spread of information continually highlight the importance of content management platforms and the growing expectations therefrom, exposing the critical need for both individuals and organizations to access accurate and reliable information.

[0006] The need for accurate and reliable information has never been more critical, especially given the vast amount of data continuously generated and shared online. Attributing the issues in information production and consumption solely to outdated data and simple errors would be naive; because individuals and societies are deliberately manipulated and influenced through information for various reasons such as cultural, political, religious, economic, technological, health, or environmental, posing a significant threat to societies.

[0007] Another threat to the verification and validation of information is the general and sometimes erroneous societal acceptances, even if the information has been endorsed by various reputable peer review panels or competent authorities over time. A striking historical example would be Galileo Galilei, who was tried and convicted by the Catholic Church in 1633 for advocating the heliocentric model, which posited that the Earth revolves around the sun. The Church's apology for this wrong decision came approximately 359 years later, in 1992. Likewise, ongoing debates within the scientific community about the benefits and side effects of vaccines used during the pandemic, newly initiated lawsuits, and the continually evolving approaches of various governments thereon provide other concrete examples. Such situations clearly illustrate the complexity and multi-dimensional nature of information management and verification processes, revealing that the reliability and validity of information are not limited to only scientific verification but also encompass social, political, and legal dimensions.

[0008] Although accessing information today is easier than ever in history, societies still struggle to find a common truth on even the most fundamental issues, despite technological advancements. Books and articles filled with misconceptions are still being written, decisions that we might have to apologize for in the near future are being made, and works / prints advocating very serious erroneous views are being authored. While the ease of accessing information seems to increase the potential for creating an objective and comprehensive reference work, it remains exceedingly difficult to produce a perfect source that covers all information on a subject without omitting any data and that is accepted by every segment of society, for the following reasons:

[0009] First, it is almost impossible for an author or researcher aiming to produce a perfect and comprehensive work to independently review and compile all the existing work and literature on a subject worldwide due to human limitations.

[0010] Creating such a work requires intensive teamwork and a considerable amount of time, making it an extremely challenging endeavor. Even if accomplished, a new discovery or information that emerges a few years later can render the existing work incomplete or invalid. For example, the discovery of a new plant or animal species in an unexplored region of Africa can render related earlier content entirely invalid or flawed based on said single piece of evidence.

[0011] No matter how comprehensive a work is, it is often constrained by the mindset and perspectives of its author. For example, a researcher recognized as an authority in the field of natural sciences might argue that "humankind created God out of fear of lightning," while overlooking the fact that many species in nature also fear lightning. By selectively using information, the researcher can shape all gathered data to support their own claim. This approach can involve caricaturing opposing viewpoints and addressing them in a condescending manner, thus steering the reader toward the author's own perspectives and beliefs. In the case of a physical or digital printed book, readers do not have the ability to challenge the content, allowing authors to impose their views, whether intentionally or not, on the readers. Incorrect information remains in the book because it cannot be promptly removed or revised. Even if such revisions are somehow made, the structure and composition of the book are disrupted, causing the book to quickly lose its relevance, accuracy, and reliability.

[0012] Societies tend to perceive the commonly accepted truths and falsehoods of their time and place as "the absolute truth," adopting a negative attitude towards, and even punishing, information and views that differ from their beliefs. For example, just as scholars who proposed the heliocentric model in the past were ridiculed and punished, today, professors who claim "the Earth doesn't pull, the sky pushes" and present ideas contrary to the established authorities' views are heavily ridiculed on social media.

[0013] When those in power impose their own truths on society as "the absolute truth." For instance, up until 60 years ago, the scientific community considered homosexuality as "a disease that needs to be treated" and attempted to treat individuals "with hormone therapy under the guise of science." Today, however, the same community argues the opposite, declaring that homosexuality is "scientifically very natural and normal," offering apologies to homosexual individuals, and providing them with various forms of support. Meanwhile, the same community may now restrict other scientific experts who claim that homosexuality can cause significant physical and psychological harm in men and plays a notable role in the spread of sexually transmitted diseases, by banning their videos and articles. It is possible that, 20 years from now, the scientific community may again issue a statement saying, "We deeply apologize for steering society towards

[0014] Throughout history, the definitions of right and wrong may have occasionally evolved based on context and the perspectives of those in power. For instance, while it is clearly illegal and inhumane for an individual to kill their three-year-old sibling due to a potential future inheritance dispute, such an act can, under certain conditions, be construed as "justifiable" by an expert historian who might rationalize the killing of a step-sibling and mother by a Roman Emperor as a necessary measure for the "survival of the state." Due to technological advancements, the continuous addition of new discoveries, information, and developments to the scientific literature can render existing works or certain content outdated, incomplete, and inherently flawed.

[0015] Therefore, within the realm of prior technical teachings, there is no reliable work or system that can be defined as a "perfect book or content" which includes all positive and negative accepted information on a specific topic recorded to date, and that can maintain its relevance through continuous updates, effectively addressing all the adverse conditions mentioned above. Moreover, no system or platform exists that enables the creation of such a perfect and perpetually updated repository of knowledge.

[0016] Conventional content management systems today are burdened with limited moderation, inadequate control and manual processes, which are increasingly insufficient in providing timely and accurate information. This deficiency often leads to outdated or incorrect information becoming permanent, highlighting the growing challenge of information pollution and misinformation on digital platforms, which continually threaten the integrity, security, and reliability of content.

[0017] Conventional digital encyclopedias or user-driven content platforms often suffer from issues of outdated information, inaccuracies propagated by limited user engagement, and the absence of systematic content verification mechanisms. These challenges necessitate a robust system capable of not only gathering and displaying information but also ensuring its continuous validation and updating in a secure manner. Furthermore, user contributions are not effectively integrated into the knowledge base in a manner that enhances content reliability.

[0018] As a pioneer among digital information resources, Wikipedia®, for instance, offers an extensive repository of content created and edited by volunteers globally. However, its process for verifying content accuracy heavily relies on volunteer moderators and community consensus, which can compromise the timely validation of information. For example, a user can add information on a specific topic or edit existing information, but the added information must be verifiable. To support this, the user must provide a reliable source. If a piece of information lacks a cited source, other users or editors can question this information and may add a "citation needed" tag. Similarly, there are public electronic network systems like Ek§i Sdzluk® that allow people to discuss and vote on specific content. In these systems, evaluation methods such as "like and / or dislike" votes or rating options are used for feedback purposes. However, the given votes are unquestionable and personal. Some platforms are also supported by comment boxes for users to provide feedback. Ultimately, none of these systems can adequately and objectively inform us about the accuracy or inaccuracy of the presented information, the counter-arguments that should be considered, which experts have approved the content, the consistency ratings of these experts, or the extent to which society accepts this information.

[0019] On existing platforms, the information entered by users, whose identities, professions, or areas of expertise are often unknown, generally lacks a basis; and frequently, even the sources from which the writings or content are quoted are not shared. Since the primary purpose of such platforms is not to "verify that information" or "reach the most accurate information on that topic," there is often no real need for such verification.

[0020] Most of the time, finding the answer to even a very simple question can turn into a nightmare as users navigate through various online platforms and websites. Users are forced to read through a large amount of unnecessary data and expend significant effort. For example, on straightforward topics like "What is the treatment for kidney stones in terms of human health?" or "Does chewing gum break fast according to Islam?" users might have to rely on information of uncertain origin and unverified by any authoritative body. Throughout this lengthy process, they often fail to reach the specific content guide or reliable source of information they initially sought.

[0021] Al-based systems like ChatGPT®, developed by OpenAI, stand out for their ability to generate real-time, human-like responses to user queries. These systems learn from vast datasets using deep learning models and interpret user queries through complex algorithms. Yet, they lack mechanisms to independently verify the currency and accuracy of their training data, posing risks to information integrity and reliability. While their capability for dynamic information processing makes them ideal for interactive user experiences, the accuracy of the content they produce still requires continuous external oversight and updates.

[0022] Among the prior art patent documents, US10839004 discloses the analysis, evaluation, and scoring of content produced on social media. However, there is no mention of evaluating the accuracy of the information.

[0023] In another patent application, US2020202073, a method for scoring articles, particularly on the internet and social media platforms, is disclosed. While it does provide a foundational understanding of scoring, it does not offer any guidance on the accuracy or inaccuracy of the articles, nor does it provide teachings on adding to or removing content from the articles. Another patent application, US2003004909, relates to an information management system. The proposed added value in this document is not only the storage and retrieval of information but also providing users with the ability to consult an expert and access the exchanges with the expert as part of the information management system.

[0024] In another patent application, US2007124432, a system for scoring electronic messages and deriving data (especially market or industry-related) for trend analysis is disclosed.

[0025] Consequently, despite the value-added teachings provided by the prior art, there remains a clear need for systems and digital platforms capable of dynamically verifying and updating content through a balanced application of human knowledge and artificial intelligence, especially given the current environment of information clutter and debate, emphasizing the necessity for robust and up-to-date sources.

[0026] Such a comprehensive system should not only address the deficiencies of current technologies by delivering more reliable and accurate content but also enhance the security of data against unauthorized changes. This context calls for high-performance systems and platforms that can offer reliable, accurate, and secure information, approaching data integrity and security with a comprehensive perspective on advanced verification mechanisms and more effective content updating methods.

[0027] Moreover, beyond providing society -and specifically users- with a content management platform that delivers accurate, up-to-date, and reliable answers to their specific queries, there is a clear need for new systems that support information producers, such as researchers and writers, enabling them to create personalized content, articles, or books and allowing these to be compared with others. These next-generation platforms will not only lead the way in achieving almost-perfect information integration applications but also serve as a guide for artificial intelligence in the near future, benefiting humanity.

[0028] OBJECTIVES AND GENERAL DESCRIPTION OF THE INVENTION

[0029] The primary objective of the present invention is to provide a digital system that effectively and accurately combines various levels of human knowledge with artificial intelligence to enhance the verification, security, and integrity of information content recorded over time in response to simple or highly complex questions, issues, and topics discussed throughout human history, by consolidating all such information content into a single, comprehensive source. This system addresses the fundamental shortcomings of existing information and content management systems by ensuring that the content remains accurate and up-to-date, which is a critical need in our current era dominated by rapid information exchange and digital communication.

[0030] Another objective of the invention is to enhance user engagement by allowing users not only to consume information but also to contribute to its accuracy by highlighting inconsistencies and suggesting updates, thereby fostering a collaborative and dynamic information ecosystem. There is provided herein a platform that facilitates users to recreate a digital book from their perspectives, add new data, or remove sections they believe to be incorrect based on collective wisdom and Al filtering, allowing not only experts but also anyone who wishes to contribute their views on the subject to participate, thus enabling inclusive and democratic participation.

[0031] Another significant objective of the invention is to propose and establish a quality control standard for the internet and the realm of ideas, akin to national and international standards like ISO 9001 and ISO 22000 used in other key business fields, addressing the current issue of "information clutter."

[0032] Another objective of the invention is to partially automate content updating and verification processes using advanced artificial intelligence algorithms, thereby reducing reliance on manual oversight to a manageable level and making the system scalable across various fields and large volumes of data. The system leverages evolving Al technology to utilize collective intelligence in finding the most accurate answers on any subject.

[0033] Another objective of the invention is to create a more secure digital environment for information exchange by preventing unauthorized access and manipulation of content through inherent data protection measures, thus increasing trust among users. This ensures the continuous excellence of the content, allowing updates even after traditional publication constraints, such as the author's death, thereby addressing issues of outdated or incomplete information.

[0034] Another important objective of the invention is to provide a platform that allows users to create customized books and similar works from the available information. This is accomplished through a user-friendly interface that facilitates a systematic information filtering process, leading to the production of personalized books.

[0035] Another objective of the invention is to provide a versatile platform that can be adapted for use in various business fields where the integrity and reliability of information are paramount, such as education, research, public service, and commercial enterprises. In order to achieve the aforesaid objectives, the present invention provides a dynamic and artificial intelligence (Al)-supported digital data integration and verification system, designed to ensure data verification and content integrity, comprising the structural components and features defined in Independent Claim 1 and the process steps defined in the Independent Method Claim, and further supported by the subsequent dependent claims thereof, enabling access to the most accurate and up-to-date information or answers regarding content focused on a specific topic or question, which may be a comprehensive book, article, or similar work wherein all positive, opposing and other alternative views on the relevant topic are reported together with their sources. The invention also provides a platform comprising the necessary structural components to realize said system.

[0036] In one aspect of the invention, there is provided a system for the collection, evaluation, verification, and continuous updating of data or content by utilizing user-friendly and practical interfaces, along with advanced machine learning and artificial intelligence algorithms, as well as uniquely developed modules, tools, and categorization applications for content provision, categorization of users and contents provided therefrom, and multi-layered evaluation, scoring, and verification mechanisms. Supported by a robust back-end architecture, said system continuously improves and verifies content using collective intelligence and dynamic data processing capabilities, and said content can be optimized in accordance with user requirements, if needed.

[0037] In a preferred embodiment of the invention, the system focuses on a single topic or question; identifying all sources accepted by reliable individuals and institutions up to that date on the relevant subject; extracting only the "most important" and "most critical" sections and paragraphs disclosing the queried topic from said sources / books accordingly, and compiling them into a single written and / or electronic source; thereby submitting draft content thus obtained for approval and scoring by the public and experts; and based on this scoring, not only accepted content but also rejected and / or newly added ideas and content are thoroughly evaluated by a panel of experts specialized in the subject and / or a next-generation artificial intelligence filter; thus creating the "most accurate" and perfect information source achievable through collective intelligence for the current time and place, and continuously updating itself with new information / content added to the literature on this topic in the future, enabling the end-user querying the topic to always effortlessly reach the "most accurate answer," thereby creating a "perfect network of information sources. Thus, it is possible to not only reach the most accurate information or opinion but also to ensure that this information, shaped by future updates, remains traceable, accessible, and permanent in electronic and digital media, enabling the production of accurate and up-to-date information and content in a shorter time and in a dynamic, "live" manner.

[0038] In this context, it should be understood that the terms "content" and "data / information source" are used interchangeably throughout the specification for simplicity and ease of understanding, and the scope of the invention should not be limited by the general terminology related to information, ideas, or supporting evidence. The system can be used to produce various outputs such as books, encyclopedias, documents, opinions, articles, surveys, impressions, trends, or digital or physical applications that measure and evaluate people's current or future reactions.

[0039] The only requirement of the invention is that the content or information in question is “not” a single output or work that mentions about “every” topic," but rather an information source that focuses on a single topic, such as "What is the treatment for kidney stones?", "Did we land on the moon in 1969?" or "Does chewing gum break the fast?", concentrating solely on one subject and gathering all the answers, solutions, and information recorded on that subject to date at a single point over time. Similarly, There is provided a system for discussing or examining, in light of source data, the entirety or a part of a book, an ideology, a popular belief, a political campaign, a social campaign, an art movement, a piece of music, or any other conceivable topic, followed by multi-layered scoring, evaluation, filtering, and verification, ultimately enabling the emergence of the most reliable, accurate, and up-to-date information based on the data obtained up to that point.

[0040] Furthermore, through the system according to the present invention, instead of "having users re-verify the rights and wrongs accepted by the general public" as seen in conventional applications, it is possible to offer people a unique choice regarding the topic in question. This is achieved by ensuring that votes and the resulting content are evaluated by institutions that are truly experts in the field and by an objective artificial intelligence system. This approach aims to reach the most accurate conclusion for that time and place through collective consciousness. Additionally, each individual is categorized and scored according to their expertise in the relevant topic, allowing for a fairer voting process. The system not only aims to create perfect content as a whole but also enables each individual to keep and use their own personalized content within their system, thus yielding significant and value-added outcomes.

[0041] The content obtained through the present invention, which can continuously update itself over time if necessary, can be applied not only to specific and limited fields but to any topic questioned throughout human history, such as human diseases, spiritual life, scientific topics, and human and societal behaviors. The topic that is questioned can be as simple as "Does coffee raise blood pressure?" or as complex as "Is communism a logical form of government?" Similarly, it can be used to solve much more complex issues that Islamic scholars have been unable to resolve for hundreds of years, such as "What are the authentic hadiths that should be trusted?"

[0042] Ultimately, any written work, book, information, opinion, or thought stream can be digitized and these data can be divided into sub-data parts as needed. Data separated in this manner from source works can be reassembled under a single main source, brought together under common main headings to complete an idea / whole, subjected to criticism by experts or end users interested in this topic in an electronic environment, and subjected to scoring in an electronic network system. Said scoring can be in the form of "clicks" as in current social media applications, as well as in the form of ratings or by allowing users to redesign this data according to their desires.

[0043] The main difference and superiority of the realized scoring from conventional applications is that it is supported by real and reliable sources, provides critics the opportunity to see all opposing and positive ideas on that topic together, allows them to change the positive / negative score they give as needed within the conditions determined in the scope of the invention, and enables the information filtered through all these scoring and filtering layers to reach a common truth or consensus on that topic through real collective consciousness, with the opinions of experts, relevant persons, or respected individuals in society, and even with the intervention of artificial intelligence, either limited or unlimited in some cases.

[0044] In this sense, the present invention not only allows the creation of a work supported by excellent content on a subject and its continuous updating if desired but also provides a system that can be used as a digital network system or a voting system, through the possibility of giving logical and statistically based answers to questions that may arise, along with reasons and justifications, not just in the form of voting, on any subject.

[0045] The system of the present invention can be advantageously integrated with machine learning and genetic modeling approaches. Machine learning algorithms enable the system to automatically improve and optimize its performance over time based on new data inputs without being explicitly programmed for every scenario. This allows the system to dynamically adapt to changes in data patterns and user interactions. Genetic modeling approaches, inspired by natural evolutionary processes, can be used to develop and optimize complex systems and algorithms within the platform. These models mimic the natural selection process, where the most effective solutions are repeatedly selected to solve problems, thereby enhancing the system's ability to make intelligent decisions based on accumulated data.

[0046] According to a second approach of the present invention, a method for the operation of the platform or system is described. This method involves first identifying a clear topic to achieve the most accurate answer on a subject. Subsequently, all reliable sources and partially reliable claims related to that topic are consolidated under a common source. The obtained data is then presented for public approval to address any gaps and errors in the collected source. Finally, the topic is re-examined by the most competent and reliable panel of referees, and with the support of artificial intelligence, the reliability of the data is reviewed and rated. This process demonstrates that by using collective intelligence, humanity can reach the "most accurate answer" on any subject.

[0047] The method of the present invention is based on the theory that there cannot be "infinite answers" to a questioned and debated topic worldwide. There is a limit to the evidence and criticisms that can be presented on a subject, and beyond a certain point, the added evidence and criticisms are merely repetitive versions of each other. This theory shows that all data that can be proposed on a topic can be gathered and categorized at a common source point. It also demonstrates that these data can be evaluated and verified in a multi-layered manner, and even if new information is added to the literature on that topic one day, it is possible to create a "continuously self-updating" data source where the accuracy of the information can be re-evaluated. This is achieved by incorporating the new information into the system without corrupting the source data through a cyclical process.

[0048] The general features, advantages, performance, and applications of the present invention, as described in this summary, will become more clear and understandable through the following detailed description and examples, with reference to the accompanying figures.

[0049] BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 : A representative view illustrating the fundamental structural components of the system according to the invention.

[0051] Figure 2: A flowchart illustrating the basic process steps in a block diagram for managing and implementing the process for a platform according to the invention. Figure 3: A representative user interaction diagram illustrating how users input data, interact with the content, and how their contributions are processed and integrated into the platform according to a preferred arrangement of the invention.

[0052] Figure 4: A general architectural diagram of the platform according to the invention, illustrating the integration of human knowledge and artificial intelligence, as well as the data flow between various system components.

[0053] It should be noted that the drawings in said figures do not necessarily need to be scaled, and details that are not required to understand the present invention may be omitted. Structural or functional elements that are largely identical and process steps aimed at similar functions can be indicated with the same numbers, and reference numbers for all recurring elements and components may not be repeatedly indicated for simplicity.

[0054] REFERENCE NUMBERS IN THE FIGURES

[0055] (10) Data source (content, information / source- input)

[0056] (11) Positive data source

[0057] (12) Opposing (or negative / alternative) data source

[0058] (13) Neutral (or undetermined / other / future) data sources

[0059] (14) References

[0060] (15) Data sources obtained from the internet

[0061] (16) Data sources obtained from printed documents

[0062] (17) Other data sources

[0063] (20) Users

[0064] (21) Entry-level user category (public, general)

[0065] (22) Active-level user category

[0066] (23) Expert-level user category

[0067] (24) Referee / institution-level user category

[0068] (30) User interface

[0069] (32) Data entry interface for all users up to expert level

[0070] (34) Referee / institution-level user interface

[0071] (40) Internet-connected devices (computers, tablets, mobile phones, etc.)

[0072] (42) Internet tools (internet, modem, network, satellite, etc.)

[0073] (44) Firewall

[0074] (46) Web server (50) Main server

[0075] (51) Data source identification and assignment module

[0076] (52) User level assignment and authorization module

[0077] (53) Electronic response (initial evaluations) module

[0078] (54) Verification audit module

[0079] (55) Artificial intelligence algorithm / tool

[0080] (56) Machine learning tool

[0081] (57) Genetic model-based verification optimization algorithm

[0082] (60) Database

[0083] (70) Evaluated content published as draft, data layers

[0084] (71) Draft content created with entry-level user input

[0085] (72) Draft content created with active-level user input

[0086] (73) Draft content created with expert-level user input

[0087] (74) Draft content created with referee-level user input

[0088] (75) Draft content created with Al support

[0089] (80) Published perfect-target data source

[0090] (82) Future sub-items / content

[0091] (84) Future content to be published

[0092] (86) Same published content on different topics

[0093] (88) Different topics and different published content

[0094] (100) Determination of the topic or question focus

[0095] (200) Categorization of the data source focused on the topic or question

[0096] (300) Categorization and authorization of user levels

[0097] (400) Collection of user group evaluations

[0098] (500) Scoring of evaluated data

[0099] (600) Verification of scored data

[0100] (700) Creation and publication of the scored current data source

[0101] (800) Evaluation and re-cycling of new data received over time

[0102] (900) Provision of a continuously updated and verified operation with the revision of the data source

[0103] DETAILED DESCRIPTION OF THE INVENTION

[0104] Figure 1 illustrates main structural components related to the operation of the system, or platform, created within the scope of the invention, while Figure 2 illustrates a block diagram detailing the main process steps for managing and executing said process within this system. Figure 3 presents a representative user interaction diagram illustrating how users input data, how their contributions related to the content are processed and integrated into the platform according to a preferred arrangement of the invention. Finally, Figure 4 is a representative view of the general architectural layout of the platform, illustrating the integration of human knowledge and artificial intelligence, and the data flow between various system components.

[0105] As shown in Figure 1 , the system provides a dynamic and Al-supported digital data integration and verification platform designed to ensure data verification and comprehensive content integrity, for achieving the most accurate information or answers for a data source / content (10) focused on a specific topic or question, comprising at least one user interface (30) that allows users (20) to access the platform via internet-connected devices (40) and evaluate the data source (10) over the internet (42), with certain levels of assigned users verifying said inputs or suggesting alternatives along with their sources; at least one secure web server (46) protected by at least one firewall (44), providing user access; at least one main server (50) housing the necessary software and algorithms to process said content and execute operations accordingly; and at least one database (60) storing all data.

[0106] According to the invention, the platform, which evolves over time to produce updates towards perfect information, essentially comprises the following components: a positive data source (11) containing at least one positive source data / content and an opposing data source (12) containing at least one opposing source data / content corresponding to the focused topic or question, within said data source (10); a data source identification and assignment module (51) for categorizing the data source (10) into positive and opposing categories (11 , 12); a user level assignment module (52) for assigning users (20) to a first category as experts (23), a second category as active users (22), a third category as general users (21), and a fourth category as referees (24);

[0107] - An electronic response module (53) that enables the data source (10) created based on a specific topic or question to be accessed by at least two categories of assigned user groups (20) for evaluations such as approval, removal, and / or addition of new data; a verification audit module (54) configured to assess the validity and verify the accuracy of the data source (10) and resulting draft contents (70), which are reviewed by users via said electronic response module (53), by providing access to artificial intelligence (55) and / or a panel of referees (24); a multi-layered database (60) where all data, including online and offline content, is processed and stored, comprising the draft contents evaluated (71 , 72, 73) and then those passed through the verification audit (74, 75) via the verification audit module (54); at least one user interface (30) enabling user interactions (32, 34) for voting on existing content, adding new data, making assessments and verifications, and customizing content views.

[0108] Said data source (10) may comprise a comprehensive book, encyclopedia, newspaper, article, blog post, or similar work, and / or individual or combined parts thereof, and / or other auditory or visual information sources (17) in response to the focused topic or question, with references (14) provided from internet and / or printed documents (15, 16). These sources are initially categorized as positive and opposing. The terminology "positive" and "opposing" used here should not be construed as limiting; in essence, the intended meaning is clear, and pairs of expressions representing the two sides of a scale, such as "affirmative-negative" or "positivenegative" for a short answer to a question, or "thesis-antithesis" and "mainstream informationalternative information" for complex content, can also be conveniently used.

[0109] According to another preferred embodiment of the invention, the platform comprises, in addition to the positive and opposing data sources (11 , 12) for the focused topic or question, other or neutral data sources (13) that are not yet determined or may be added in the future but are not known at that moment whether they are opposing or positive, and future update data contents (82, 84) to be incorporated into said data source (13).

[0110] Moreover, said database (60) contains multiple layers of data content (for drafts) initially collected from various sources, comprising those preliminarily evaluated by entry-level, active, and / or expert-level users and the corresponding draft contents (71 , 72, 73) thereof; and referee level and / or Al evaluation draft data layers containing data subjected to verification for confirmation and corresponding draft contents (74, 75) thereof (Figure 3).

[0111] The platform comprises a verification audit module (54) that performs data accuracy scaling and scoring based on the levels of assigned users, consistency of each user, Al (55) evaluations, and / or evaluations by the referee panel (24) to assess the validity of the data source (10) and the resulting draft contents (70) thereof evaluated by users through said electronic response module (53) and to ensure data accuracy. Said module (54) may also be supported by various filtering tools allowing corrections to past inputs. Said Al (55) uses both traditional verification techniques and advanced algorithms to evaluate and improve data accuracy and validity, designed uniquely to dynamically compare incoming data with verified sources and references, thus ensuring the processed data and evaluation results are particularly reliable and consistent.

[0112] The artificial intelligence (Al) (55) algorithms are capable of independently and automatically evaluating the accuracy and reliability of the content by analyzing data sources in conjunction with each module specified in the system of the invention, when necessary (independently of but similarly to the referee panel). For instance, while automatically recognizing and classifying positive, opposing, and alternative views, it continuously monitors the reliability of the data through quality control algorithms. The algorithm analyzes the validity of sources, consistency of contents, and integrity of information, identifying contradictions and errors, and applying automatic corrections, when necessary. Additionally, the artificial intelligence dynamically updates the database with the integration of new information or changes to existing information, thereby ensuring that the information source remains continuously updated and accurate. Feedback from users is evaluated by the artificial intelligence and considered in content updates, creating a community-based content verification mechanism that encourages user participation. This process means that artificial intelligence is continuously evolving, renewing itself, and adapting to maintain data accuracy and reliability.

[0113] According to a preferred arrangement of the invention, said platform, in addition to the Al (55) support for data processing and content verification processes, may include machine learning (56) and / or genetic model verification optimization algorithms (57) to filter and verify the current database- data content- based on patterns learned from past data edits, arrangements and verifications, and to dynamically update the content to be verified in the future based on new incoming data and user contributions (Figure 2). Additionally, the platform may be supported by a content collection module using specialized algorithms to source and compile data from various digital environments such as the internet, social media, and public databases.

[0114] The assignment module (51) within the platform may comprise machine learning software and tools (56) and / or software and tools for genetic model validation optimization algorithms (57) to identify data sources (10) from digital environments and provide additional relevant sources to the platform.

[0115] Furthermore, the platform includes a user access control tool to activate user interaction to activate said user interaction for content addition, verification, and updates. As shown in Figure 3, the platform provides an excellent data source or content (80) accessible to users (20) via internet-connected devices (40) to achieve the most accurate and up-to-date information or answer on a specific topic or question. Based on this content focus, the platform can result in a digital or printed work, such as a book, encyclopedia, document, opinion, article, survey, impression, trend, or similar that addresses the entire society and is open to examination in all forms, or a digital or real tangible application that measures and evaluates people's immediate or future responses. On an individual basis, users can publish (70) and store their drafts (71 , 72, 73) evaluated and prepared according to their levels — entry-level, active level, or expert level — via the existing platform or through methods they determine. In this context, according to another alternative embodiment of the invention, the platform comprises communication and verification tools, in conjunction with the currently published data source and contents (80), for a content related to the same or different topics (86, 88), and a filtered content and updates (82, 84) over time, either derived from these sources or developed internally.

[0116] Users (participants, individuals) view a versatile user interface (30) that adapts to various computers, mobile devices, and screen sizes, capable of transferring all types of files such as text, images, and audio. Designed to ensure ease of use and active interaction, said interface (30) comprises specially structured features to promote interaction with verified content for end users, differing from typical interfaces, and offers a customizable control panel that adapts to individual user preferences and behaviors. Additionally, for example, the verification activity module includes a specially structured expert review panel to assess the validity of data provided by users to improve data accuracy for the referee board.

[0117] As an integral part of the platform, it is equipped with a security framework to provide robust protection against unauthorized access and data breaches. This framework uses current encryption and security protocols in a customized manner to protect user interactions and the data within the system from rising cyber threats.

[0118] The invention provides a unique digital platform aiming to enhance the accuracy, integrity, and reliability of digital content through public participation, real human expertise, and dynamic integration of artificial intelligence, and by its multi-layered and functional modular structure. It collects all logical ideas recorded on a specific topic with a percentage of accuracy by focusing solely on that topic. The overall architecture and operation of the system are illustrated in Figure 4. In a second approach of the present invention, a method is disclosed that integrates real user participation and artificial intelligence to ensure dynamic information quality and security guarantees in a digital program or system. This method aims to provide the most accurate and up-to-date information, ensuring data validation and comprehensive content integrity for a data source (10) created with a single topic or question focus.

[0119] The method comprises the following process steps; categorizing (200) said data source (10) created for each topic or question focus (100) through a data source identification and assignment module (51) to include at least one positive data source (11) and at least one opposing data source (12); categorizing and thus authorizing (300) users through a user level assignment module (52) into at least an expert level as a first category (23), an active level as a second category (22), a general level as a third category (21), and a referee level as a fourth category (24); publishing (400) the data source (10) created and categorized (70) on a topic or question focus as a draft and allowing access by at least two categories (71 , 72, or 73) of the assigned user groups (20) for evaluations such as approval, removal, and / or addition of new data through an electronic response module (53); scoring (500) said data source through a coefficient algorithm in said electronic response module (53) and adding any additional sources if available;, verifying (600) the data source (10) evaluated by users through said electronic response module (53) and the resulting scored draft contents (70) by providing access to artificial intelligence (55) and / or a panel of referees (24) through a verification audit module (54), creating (700) a scored and verified current data source (80) with the draft contents (74, 75) evaluated and passed through the verification audit by said verification audit module (54) and thereby publishing the created data source (80), and providing a continuously updated and verified operation (900) with the revision of the current data source (80) by evaluating other user additions or newly incoming data sources over time through the electronic response module (53), thus establishing a cycle (800) thereof.

[0120] In a preferred arrangement of the invention, said method can incorporate new information emerging in the future into the data source and enable the listed items or sub-items within the data source (10) category to interact with other data sources, thereby mutually enriching each other. In other words, all sub-items (80) within the emerging data source system, if necessary, interact with the final form of the data source (84) or sub-items (82) thereof, and exchange information with sub-items in other data sources (86, 88) written on various topics. The ability of all these data sources to contact and communicate with each other and the mutual feeding of all sub-data and items in the system creates a vast intellectual network.

[0121] In another arrangement of the invention, drafts (71 , 72, 73) created by end-users (21 , 22, 23) are allowed to be re-evaluated and edited by the relevant users within a specified time frame before being finally sent for evaluation by the referee panel or Al.

[0122] In an alternative embodiment of the invention, said method comprises the step of allowing a user to create his or her independent data source (400) from the evaluated data source (10) and the resulting scored draft contents (70) through said electronic response module (53).

[0123] Within the scope of the invention, it is ensured that user inputs are processed through a web server protected by a firewall, and the processed content is managed on a main server equipped with the necessary software and algorithms, and the processed data is categorized and stored in a dynamic and Al-supported database. The system uses machine learning algorithms to integrate new information added by users with the existing content in the database, dynamically update the content, and provide adaptation. The Al algorithms also ensure the compatibility of new information during the database addition process thereof and dynamically adjust the compatibility with old information to maintain content integrity.

[0124] USER INTERACTIONS AND APPLICATION EXAMPLES

[0125] Below, detailed explanations will be continued regarding the method and system that is operated within this method, as described in the invention, accompanied by non-restrictive examples, tables, and explanations under subheadings.

[0126] Identifying a Single Topic or Question for Perfect Content (100)

[0127] To prepare the perfect content (80), according to the present invention, it is first necessary to identify a clear topic or question. The books with wide viewpoints such as "Mesnevi," "Das Kapital," "Hitler-My Struggle," or "ilber Ortayh - The History of the Turks - From the Steppes of Central Asia to the Gates of Europe" cannot serve as the starting point or source for the perfect content. The basic aim of said perfect content is to create the "most comprehensive and accurate" source on a single topic or question. Therefore, according to the system of the present invention, to achieve the targeted output, it is necessary to start with a single topic or question such as "What is the treatment for kidney stones?", "Did humans land on the moon in 1969?" or "Do chewing gums break the fast?".

[0128] Collecting Data from Reliable Sources That Have Been Recorded on the Topic in the Past

[0129] When a topic is decided to be seriously questioned, logically, the first thing to do is to start by scanning the reliable "positive" sources accepted by society on that topic; that is, to read books that are accepted as reliable, review websites, listen to comments in competent expert videos, and obtain opinions from experts on the subject.

[0130] However, in the world where we live, the concepts of right and wrong can actually change continuously according to time and place. Most claims, even if not fully realized, actually have equally strongly supported opposite ones. For example, one of the most accepted facts today is that the Earth is round (geoid), but despite countless evidence in this direction, there are also various scientists who present numerous pieces of evidence and claim that "the Earth is flat" or that "gravity," although accepted as a "law" by the scientific community, does not exist and that there is "cosmic repulsion," supporting their claims with formulas. From this perspective, within the scope of the invention, "positive" (11) refers to the generally accepted fact in the scientific community that the Earth is round (geoid), while "opposing" (negative / alternative) (12) refers to the claim that the Earth is flat, as in said example. For the targeted perfect content (80), all data on a topic is collected impartially and reported according to priority categories.

[0131] For example, if the questioned topic is "the treatment of kidney stones," the "positive data" refers to medical book sources and articles proven reliable by competent individuals and institutions. Going with the "kidney stone" example, just as the accepted treatment methods in the medical community are laser, sound waves, and surgery, there are also works suggesting "alternative medicine" treatment methods like corn silk tea, avocado leaf tea, or cherry stem tea, which are not officially accepted by the medical community but observed to be effective in helping pass kidney stones.

[0132] It is necessary to mark the page (for example twenty sixth page) that exactly discusses that topic in a five hundred-page book, while collecting sources, instead of taking the whole book on the target topic, and to take the paragraph (14) digitally without altering its content, then to send it to the draft content source (10) in order to be categorized by adding a "this paragraph / article supports this idea" heading on it. Online sources (15) accessed via the internet are also valuable and can similarly include digital encyclopedias, information sharing and opinion platforms, articles therein, web journals, and similar contents, with reference information added underneath. For example, a statement in a YouTube video can be transcribed and the exact minute of the topic discussed (14) can be shared.

[0133] As for other sources (17), examples include information or advice which is considered reasonable, heard in passing, or obtained from a health center or herbalist, which can be added by the user to their draft content with a valid reference, even if not strong.

[0134] "Future sources" (13) refer to data sources that are currently difficult or impossible to access or have not yet been discovered and therefore are not yet included in the published perfect content but will be added over time.

[0135] Categorizing Data Extracted from Sources as Initial Draft Content (200)

[0136] The next stage is to digitize and categorize the data collected (100), creating the initial draft content under specific common main headings. For an exemplary application reporting the main topic "kidney stone treatment," the subtopics and draft contents / supporting sources in user draft data sources (71 , 72, 73) are as follows:

[0137] Breaking stones with laser treatment: Articles by 300 academics working in universities, conferences by 2000 academics, 30 printed books, 25 user experiences writing sensibly on Ek§i Sbzluk, 8 YouTube videos.

[0138] Breaking stones with sound waves: Articles by 250 academics working in universities, conferences by 3000 academics, 25 printed books, 20 user experiences writing sensibly on Ek§i Sbzluk, 10 YouTube videos.

[0139] Removing stones with surgery: Articles by 100 academics working in universities, conferences by 1000 academics, 14 printed books, 40 user experiences deemed reliable on Ek§i Sbzluk, 16 YouTube videos, 2 conferences.

[0140] Drinking corn silk tea: Books by 10 individuals recognized as experts in alternative medicine, 25 television programs, 5 websites, 12 herbalists. Drinking cherry stem juice: Books by 7 individuals recognized as experts in alternative medicine, 12 television programs, 3 websites, 18 herbalists, 2 urology doctors.

[0141] Drinking avocado leaf tea: Books by 5 individuals recognized as experts in alternative medicine, 7 television programs, 2 websites, bugra 5 herbalists. As a result of the performed categorization example, a draft content is created, based on statistical measurement and categorized data sources (15, 16, 17) from which the quality and effectiveness can be determined. In the first step, a preliminary distinction is made as "positive" (11) and "opposing" (12), as shown in the table below:

[0142] Categorization of Data for Public Evaluation (400)

[0143] Thus, the initial draft content, collected and categorized under specific headings, is transferred to an interactive digital environment accessible via the internet for an initial public evaluation, similar to a public vote. Said digital environment can be a digital social media platform with a simple user interface where the public can easily access and rate these items by approving or rejecting them (Figure 3).

[0144] According to the present invention, this stage is critical for gathering public opinions on the collected initial draft data before they are submitted for review and approval by the Al and referee board, allowing the public to make adjustments to the content and address any deficiencies. Here, users who wish to comment on certain topics, address deficiencies, or reorganize parts of the book have the right to make these adjustments if they enter the provided digital platform.

[0145] User Categorization and Assignment of Competency Level Coefficients (300)

[0146] Before obtaining the right to make these adjustments, users (21 , 22, 23) are required to enter certain personal information (age, gender, field of expertise, etc.) as requested by the platform. Based on predetermined criteria set by the system, users gain the right to have more influence on the changes and comments they make on the initial draft content, in accordance with their expertise and competency in that field. Thus, user categorization assigned by the system and the competency level coefficients determined based on this categorization come into play.

[0147] For example, if the topic is "kidney stone treatment," the preferences of urology specialists with medical education are evaluated under the "first-level expert" category (23) with a coefficient of "10," those with medical education but without specialization in urology as "second-level experts" with a coefficient of "8," intellectual individuals respected and valued by society as "active individuals" (22) with a coefficient of "5," and ordinary citizens such as engineers, civil servants, grocers, and lawyers with no relation to the topic as "general users" (21) with a coefficient of "1." If the topic of the draft content is "how to mix concrete for earthquake-resistant buildings," the votes of construction workers will be evaluated with a coefficient of "5," while the votes of urology specialists will be evaluated with a coefficient of II «l II

[0148] Although said categorization and coefficient assignment process is only reported as examples and can be changed according to the subject, place, time, and need, it is preferred to have at least two user categorizations (21 , 22, or 23) and at least two competency level coefficients at this stage. The decision on how much coefficient score each user should receive for a particular topic, and verifying whether users are real people, will be done through conventional methods, such as VPN and Two-Factor Authentication (2FA), i.e., "mobile phone fingerprint" system, or similar to the "blue tick" method on Twitter, or by registering information such as diploma details into the system and verifying the match of identity-phone-diploma information by the referee board (24), or over time based on the accuracy and logical consistency of the ideas users contribute to other perfect content within the system, how many new "correct new ideas" they add, how much their ideas are appreciated, etc., through a method of collective approval of each other over "collective consciousness." The aim of the system according to the present invention is not to force people into anything but to allow people complete freedom in this regard. Therefore, users who wish to make changes to the book but do not want to enter the requested personal information can join the system as "anonymous" and download the book in text format to their computers, make the desired changes offline on their computers, and, if they later wish to have these changes partially included in the system, they can do so without entering the requested personal information. Users who do not enter the requested personal information and do not want their changes to directly impact the draft content with an additional coefficient score are categorized as "anonymous" or "ghost users."

[0149] Users who enter the requested information can log into the platform and gain the right to vote, edit, add, and remove by making selections through subheadings, such as using a drag-and- drop method, and by approving or disapproving the titles included in the book.

[0150] Users are not required to choose the option to approve (Y) or reject (X) for each item in the draft and can choose to skip / comment without marking some items (U) if they wish. For example, a doctor who believes in positive sciences might be concerned that his career could be at risk by admitting that "yes, although this solution is considered a folk remedy by the positive science community, I have seen it work in treating this disease," but may not want to comment because it will be recorded. Similarly, an air force officer might say, "I believe in aliens" in a casual conversation with friends, but stating this belief in a television debate or being referenced by others could negatively impact his career and reputation. On the other hand, items that users do not comment on (U) may continue to be displayed / hidden in their final drafts (71 , 72, 73).

[0151] As shown in Figure 3, users (21 , 22, 23) who enter the system can interact with precategorized initial draft content for a particular topic or question by selecting from the listed options (items a, b, c, d, e, f), approving (Y) the ideas they agree with, rejecting (X) the items they disagree with or removing them from the book, or enriching the content with new ideas / items (Z) by adding new ideas they think are missing (g, h).

[0152] In another example, in the user interface example provided through the platform, the second user (22) is categorized as an "active individual" and has a "5" coefficient for evaluation activities. The user decides that the first four items listed (a, b, c, d) are correct, the fifth (e) is incorrect, and does not comment on the sixth (f). The user interface allows them to approve (Y) or swipe right for "a, b, c, d," reject (X) "e," and leave "f" as undecided / uncommented (U). Additionally, the user can add new reliable and sourced information that is not included in the draft, such as item "g" and a sub-item "g_sub" for the section in the book, resulting in their own draft content (72) comprising items "a, b, c, d, e, g, (g + g_sub)" which they can upload to the platform.

[0153] Here, a user's approval of an item does not imply they approve all the sub-sources that constitute the idea. Users also have the right to vote on sub-source items or the sources on which they are based.

[0154] Thus, the resulting source is not only a second draft submitted to the system for evaluation as a perfect data source but can also be individually recorded as a user-specific work and independently presented to society by the user.

[0155] Users (21 , 22, 23) can submit their drafts (71 , 72, 73) to the verification module (54) after completing their selections and being sure of their preferences by pressing the "approve and submit" (or similar) option on the platform. The drafts are stored in the database (60) in draft data layers assigned according to the user level.

[0156] In a preferred arrangement of the present invention, users who want their vote to affect the overall evaluation but do not wish to enter the requested "personal information" can remain "anonymous" within the system while being able to send their drafts to the filtering system a second time. In this case, the choices made by anonymous / indeterminate users will only affect the final draft if they are included in a special filter during the query for perfect content that includes anonymous users. The reason for not allowing anonymous users to participate directly in the voting is to prevent the manipulation of fake accounts and "perception management operations," such as hanging 200 mobile phones on the wall of a room and making "organic comments" alone on a computer. This allows the system to prioritize the real opinions of users who are more authentic, for example, connecting via VPN and passing the 2FA system, mobile phone, and fingerprint verification, and get the genuine views of those users on the topic.

[0157] Re-evaluation of Drafts Created by Users

[0158] In another arrangement of the invention, users (21 , 22, 23) are allowed to re-evaluate and edit their drafts (71 , 72, 73) within a specified time period before final submission to the peer review panel or artificial intelligence for assessment.

[0159] If a user wishes to make further edits to their draft, these edits will be subjected to a new filtering application to prevent indecisive or malicious users from negatively impacting the system. This application will compare the rationality between the user's "first approved content" drafts and their "second approved content" drafts, recalculating the coefficient scores assigned to the users in the previous stage, and then processing them through the verification module (54).

[0160] Each user has the right to re-edit their draft (A), remove ideas they believe are incorrect, and redevelop the content based on newly added information. For example, when new ideas (items g, g_sub, and h) are added to their book drafts by other users, it is not possible for other users to see these ideas in the initial shared objective content. Therefore, the system creates a new cycle when a new item is added over time, requiring these items to be categorized through all evaluation and approval processes (70, 80) before being added to the database (60) and the main source (10). Other users will then be given the right to make another selection regarding these newly added items, necessitating that final users also re-edit their previously created drafts (71 , 72, 73). A user may want to change the approval / rejection of one or more items based solely on item "g" or "h" and, of course, users have the right to do so.

[0161] However, to prevent users from abusing this privilege, the right to make these changes is regulated by certain rules. For example, the rationality between changes made by users to their book drafts over time is reviewed again in the second filter system; drafts are sent to the next verification review (54) at specific intervals, such as monthly, rather than in real-time to prevent balance disruption by specific groups quickly loading answers at once. During this period, users have the right to redefine the ideas in their drafts according to reasonable rules as they wish.

[0162] The purpose of submitting final drafts created by users to the peer review committee at specific intervals rather than in real-time is to prevent society from making instantaneous emotional decisions and giving wrong or faulty reactions, thus avoiding "instant wrong conclusions." For instance, when a brutal murder is reported in the media, people might initially comment on social media with statements like "bring back the death penalty, let's hang them all," and may show reactions they could later regret, including digital or real lynching incidents. People sometimes make short-term and instantaneous emotional decisions, later showing reactions they regret. Although the most effective solution to prevent the recurrence of a crime might indeed be the "execution of the murderer," the aim of the invention is not to make a judgment but to provide people with some time to think and decide, promoting rational collective consciousness and determining what is right and wrong from a broader perspective. Therefore, users are always given a certain period to make a second selection in their drafts. Another important reason for not synchronizing user drafts in real-time is to prevent organized groups from quickly acting in the same way and showing "black as white and white as black" for a short period on famous social media platforms, where thousands of people can easily create an agenda as if the whole country thinks that way. Additionally, it prevents malicious users from harming the system by "let's break the system" through software that constantly changes the position of user draft items every five seconds. Said time interval does not have to be "monthly." Depending on the topic, a circulation like "every two months" or "annually" can also be established.

[0163] In another arrangement of the present invention, users are given the right to stop editing their draft content one day before it is sent to the peer review committee. Users are offered the option to "cancel" their last changes during this one-day period. Thus, each user is granted the right to reject the changes they made, and if they select the "cancel" option during this period, their last changes are not sent to the peer review committee. Since this record is stored in the user's history the moment they approve their draft, it allows people to see what the user considered right and wrong under certain conditions even ten years later.

[0164] When users are given the right to modify their drafts, a second filter application is activated, which recalculates a coefficient score to ensure users make "more stable" decisions by measuring the rationality of these changes. This system measures the stability between the versions of the content created by the end users, comparing their "initially approved draft" with their "subsequently approved draft." It calculates a rate of change for the consistency and reliability between the approved / rejected items in their edits. If this rate exceeds a certain limit or percentage, the coefficient score rights (x10, x5, x1 , etc.) initially earned by the users when entering the system are recalculated. This effectively serves as a penalty to prevent irrational and inconsistent users from disrupting the system.

[0165] A potential criticism could be: "What? Can’t people change their minds? Can’t an atheist suddenly become a Muslim and start defending what they once rejected? Doesn’t this system accept people who have corrected their mistakes?" The system described in the invention is not an entertainment platform; its aim is to reach the most accurate answer through collective societal consciousness. It expects users who claim "everyone making this claim is completely wrong" to demonstrate the correctness of their assertions by saying, "if you are so sure of your claims, then come show us what is correct."

[0166] The system already allows users to work "offline." There is no time limit for users to join the system and share their ideas once they are confident in their opinions. Additionally, the system does not force users to approve / reject every item. Therefore, if a user can make a claim about a topic with absolute certainty, they should also take responsibility for their choices and bear the consequences if they find out they were wrong later on.

[0167] As for the question, "What if definitive evidence disproving a user's claim emerges one day; for example, if aliens actually land on Earth tomorrow?" The answer is simple. The system aims to question the consistency of those who are "absolutely certain" about their claims and are considered "experts" on the subject. It ensures that these individuals take responsibility when things go wrong by paying the price for their certainty.

[0168] Therefore, even if a definitive conclusion is reached on any subject, this rule in the re-filtering system will remain valid; users will either accept the risk of lowering their coefficient score by reversing all their previously recorded opinions or, for example, follow the rule of "you have the right to change 5% of your opinions or five items per month. If you exceed this, your initial coefficient score will be reduced" and proceed by thinking, "which five items should I reverse this month?" instead of making quick and emotional decisions.

[0169] This second filtering system will eventually make individuals who claim "everyone who thinks differently from me is wrong" more cautious in expressing their opinions. When clearer evidence on the topic emerges, such as definitive proof that the Earth is round, it will allow the analysis of what exactly those who supported or at least endorsed the idea that "the Earth is flat" based their conclusions on. This will help prevent similar errors in other topics we approve / reject today and enable more precise measures to be taken.

[0170] Evaluation and Verification Phase of User-Generated Drafts (600)

[0171] Drafts (71 , 72, 73) created by end-users (21 , 22, 23) are analyzed and verified separately by a panel of experts (24) and an advanced artificial intelligence system (55). The panel of experts (24) consists of the most competent and trusted individuals or institutions recognized for their expertise, such as the World Health Organization (WHO), International Space Research, Directorate of Religious Affairs, and the Ministry of Agriculture, among others.

[0172] In the verification phase, the drafts initially created and uploaded by users (21 , 22, 23) are reviewed and re-evaluated based on predetermined criteria by the advanced artificial intelligence system (55). This system independently observes, interprets, and makes decisions, providing a second round of adjustments and scoring, ultimately assigning a "truth percentage" score to each piece of data. To prevent human-machine conflicts during verification, the content drafts (74, 75) created at this stage are evaluated separately by both "artificial intelligence" and "subject matter experts." The resulting ideal data source (80) is then shaped based on the average of these two groups' scores.

[0173] The expert panel and artificial intelligence may assign an additional coefficient score to the book drafts beyond the initial two stages. For example, an expert user initially awarded x10 points for approved items (a, b, c) and x10 negative points for rejected items (d, e, f) may receive an x2 negative coefficient score for the rationality of changes in the second stage. At this stage, the expert user may be re-evaluated based on new criteria set by the panel or artificial intelligence, affecting the coefficient score.

[0174] An expert user who initially receives x10 coefficient points may be penalized for poor performance, such as approving / rejecting only a few items due to negligence or protest. For example, if an expert user creates an inconsistent book draft by only approving / rejecting a few items out of a hundred due to time constraints or lack of seriousness, they may receive an additional penalty coefficient score during verification.

[0175] Conversely, a semi-expert user (e.g., an intern medical student) might receive positive coefficients for producing a high-quality book algorithm, such as x5 positive points for items a, b, c, d and x5 negative points for item f. If their work exceeds expectations, the panel might apply an additional 1.25 positive coefficient score, while artificial intelligence might apply an x2 positive coefficient score. However, this additional coefficient score cannot exceed the maximum coefficient score (e.g., x10).

[0176] Publication of the Perfect Data Source (80) Created by End Users and Re-evaluated by the Panel of Experts and Artificial Intelligence, and Making it Available for End-User Inquiry (700)

[0177] The publication phase involves the data source (10) undergoing public voting followed by evaluations from expert panels and artificial intelligence (55). This process addresses the deficiencies in user drafts (71 , 72, 73), re-scores the accuracy of the data, and results in the creation of the perfect data source (80) based on revised and validated drafts (74, 75) approved by the public, experts, and artificial intelligence.

[0178] The system's goal is not to discard incorrect ideas but to compile all reasonable potential ideas on a topic into a single source. Thus, no matter how absurd an idea may seem, it is not removed from the book; instead, each item added to the system is accompanied by a percentage score. There are two reasons why even the data known to be intentionally incorrect is not removed from this system. First, the system allows us to see who made the claim, where the claim originated, and who supports the claim. This way, individuals who manage to be malicious even when given the opportunity to choose can be identified. The low scores received by users can also affect their choices regarding other draft contents, making people more cautious about the claims made by such individuals.

[0179] The second reason for not removing any idea from the system is that information that seems absurd in the current time and place can turn out to be true over time. For instance, if an item, such as "h" added by an "ordinary user," receives a low accuracy percentage of 0.55 from an expert competent institution and artificial intelligence, this does not mean that the information is "wrong" or "should be completely removed from the book." The purpose of this system is not to "cover up ideas that are not liked" but to bring together all possible ideas that can be proposed on a subject, give the claimants a chance to prove their claims, and allow users who want to have an opinion on this subject to see all these claims / defenses in one place and make their own decisions accordingly. Ultimately, various listing tools that allow users to see all ideas, choose from most accurate to least accurate or vice versa, or select within certain intervals, and even conduct user-based analyses can be integrated with the invention.

[0180] The data in the published data source that has passed the verification of competent experts and artificial intelligence can, for example, receive a "accuracy percentage" as follows:

[0181] Item a: It has been unanimously concluded that this is the most effective method for solving this problem: 99%

[0182] Item b: This is the second most used method in positive medicine, but due to its higher cost and longer solution time, its accuracy rate is: 86%

[0183] Item c: Although it is used in positive medical science, it is found that if reapplied, it can cause permanent damage to the person, so its recommendation rate as a solution is: 46%

[0184] Item d: Although not accepted by positive sciences, it is a frequently used alternative solution among the public. However, its misuse and overconsumption can cause hypertension. Accuracy rate: 74%

[0185] Item e: Although not accepted by positive sciences, it is a frequently used alternative solution among the public. Alternatively, it can also be used for treating the common cold, and its accuracy rate is: 91% Item f: Although reported as ineffective by 80% of users, it is still recommended due to its placebo effect and lack of harm from consumption, so its accuracy rate is: 52.5%

[0186] Item g: This is a source of water found only in a specific region, and it has been determined that this disease has not been detected in the village population living in that region. It is accurate in terms of the solution, but difficult to access, so its accuracy rate is: 59%

[0187] Item h: Identified as intentionally incorrect data added to fool the system, with an accuracy rate: 0.55%

[0188] An example of how the system operates would be as follows; the data source (80) resulting from the voting of end users, the panel of experts, and artificial intelligence analysis would be as follows:

[0189]

[0190] There are a few important points to note in this table. The first is that the answer given to the person asking the "x" question should be as short, clear, and concise as possible; if the user wants to see the details of the subject, they should be able to go into the details by clicking the "+" button. The "+" next to each item actually contains sub-information that opens as the user requests information. Users entering the system can enter the system by saying "show as many '+' as 'x' in the questions I ask" and can see the answers according to their preference, either the shortest answer or by examining the subject in detail, step by step, down to the first source of the subject.

[0191] The second point to note is that the fact that an idea is accepted by the majority of the public does not mean that the idea will also be accepted by science. Science works based on observations and results. It may take years for scientists to include the information that drinking corn silk tea is so popular in the literature of positive science. Therefore, while classifying the data in the perfect source, the distinction between "positive" and "alternative" continues.

[0192] The third point is that the high approval of an idea by "experts" does not always mean that the idea will be "the best solution." For example, the method of "removing kidney stones by surgery" may be a method approved and frequently used by positive sciences; however, this solution method may not be "highly recommended" by the end users due to the negative experiences of the users who had kidney stones removed by surgery. What is meant by the "collective consciousness" targeted by the invention is precisely this; that is, instead of leaving the decision of whether something is good or bad solely to the experts who make decisions within four walls and watching people criticize these decisions on social media, it is to act on a collective consciousness and try to solve many of the problems we face as a society through the collective consciousness by including the users who "actually experience" the issue in the system. The most fundamental reason for many of the debates we face today is that everyone sees themselves as "the most right," acts only within the framework of their own worldview and truths without really trying to listen to and understand the other side, and the ideas of whoever the system gives power to shape the rights and wrongs and social rules within the framework of those ideas. The aim of the system subject to the invention is to propose a much fairer solution to this problem, to obtain a more realistic source of information (80) nourished by the feedback of both the public and experts, for example, if the subject in question of the perfect content is "kidney stone treatment," this subject will now include the opinions of not only competent experts but also users who experience this issue and will create an information source that can now address the issue not only from the perspective of "success rate" but also from a different perspective such as "recommendation rate."

[0193] At the end of this whole process, the "content aiming for perfection" that emerges can have a flexible structure depending on the subject it deals with and the user's request. For example, if the answer to the target question is a simple "yes-no," that is, if an answer to a question like "Does chewing gum break the fast?" or "Has humanity set foot on the moon?" is being sought, now when the user asks this question to the system, the example answer they will get through the system can be as follows: "The answer to this question is as follows with a rate of 98%. This result was reached by evaluating a total of 100 source data and basing it on the evidence of 30 reliable experts. If you want to see how this result was reached and what the sources are, you can click the plus button next to it to examine in more detail how this result was reached."

[0194] Integration of newly discovered information into the cycle of perfect data content (800)

[0195] When a new invention or a new and logical idea is discovered in the future, it is sent to the initial data sources through a printed work, website, or video recording, and the process described above for the target subject is repeated.

[0196] The goal of the project aiming for perfect content is to build a system that is not limited to a specific time and place but can update itself as new information and discoveries emerge, keeping itself up-to-date by taking the opinions of everyone who wants to comment on the subject. For example, a group of American scientists, influenced by the perfect data source (80) of the invention, combined the genes of corn silk, avocado leaf, and cherry stem to create a new plant species and found that the tea of this plant rapidly dissolves kidney stones. Or, due to technological advancements, teleportation technology was discovered, and “treatment of kidney stones by teleportation method” was added to the literature. Such data will necessarily be placed under “neutral / new / future source data” (13) in the sources (10) section of the system of the invention. This data will be categorized in the database (60) through the data source determination and assignment module (52), then submitted for public approval and evaluation through the electronic response module (53). Users will be asked to add this data to their drafts (71 , 72, 73) if they wish, and then it will be sent to the verification stage to the validation audit module (54) for expert panel and artificial intelligence evaluation (55). It will be added to the perfect data source (80), and the database will be updated again (900).

[0197] A massive network of thought where perfect data sources written on other topics are interconnected

[0198] After a high-approval item in an “A” perfect data source (80) has passed the final verification stage and received a specific accuracy percentage score, it can be reused and reassessed in different perfect data sources such as “B,” “C,” “D,” or “E” written in the past, present, or future.

[0199] In the system of the present invention, since each subject can move independently of time and place, it is possible for a newly written perfect data source to interact with other perfect data sources written in the past, present, or future, or the items in their content. This allows each item within the perfect data source to be evaluated from many different perspectives.

[0200] An item that receives high approval in the “A” perfect data source might be on the negative side in the "B" source. For instance, the solution proposal "drinking beer dissolves kidney stones" with an average score in source A discussing the topic “What is the treatment for kidney stones?” could be completely negative in source B discussing "What are the harmful drinks to society and individuals?", and might even be selected as the "most harmful to humans" item with the claim "beer, or alcohol, is the mother of all evil." Similarly, in the book "C," discussing “Should alcohol and cigarettes be banned?” The same item could be on the positive side and highly supported by the public with a high "positive score" due to arguments like significant revenue and taxes obtained from alcohol sales, and pleas such as "don't take away our only pleasure."

[0201] INDUSTRIAL APPLICATION OF THE INVENTION

[0202] The present invention provides a digital platform in order to partially automate content updating and verification processes through the comprehensive and harmonious integration of real user experience and artificial intelligence, thereby reducing reliance on manual oversight to a manageable level and making the system scalable across various fields and large volumes of data. In this context, the system aims not only to introduce a quality control standard for data verification and content integrity to the internet and the intellectual world, often seen as an "information overload or clutter", but also to enable the creation of a continuously selfupdating, accurate, and comprehensive database using next-generation Al technologies, thereby addressing the need for a robust and constantly evolving data infrastructure.

[0203] The system according to the present invention can be applied for the benefit of humanity in any field worldwide, including -but not limited to- health, science, art, religion, justice, and government administration. For instance, the system can create lists in the fields of film, music, and art based on genuine public opinions; develop a more just legal system that prevents controversial court decisions by providing more satisfactory responses to crimes; distinguish between strong and weak hadiths in the Islamic world by gathering the opinions and votes of Islamic scholars globally; present scientific data in a more objective and unbiased manner that is understandable to the public; and facilitate rapid and effective advancements in technology by bringing together scientists and researchers working on similar topics worldwide.

[0204] Although specific examples and applications of the present invention have been described thus far, it is apparent that various other changes, additions, and modifications can be made by those skilled in the art without departing from the essence and scope of the invention. For example, the invention includes the use of internet modems, database backup systems, routine server maintenance services, general network security software, system administrator tools, load balancers for traffic management, and recovery systems to prevent data loss, all of which ensure the system operates continuously and securely, thereby improving the user experience and supporting the innovative aspects of the invention. Additionally, redundant power supplies and cooling systems are crucial for maintaining system continuity and reliability in the event of hardware failures. Therefore, the appended claims ensure that such changes and modifications are also included within the protection scope of the invention without departing from its essence and completeness.

Claims

1. CLAIMS1. A dynamic and artificial intelligence (Al)-supported digital data integration and verification platform designed to ensure data verification and comprehensive content integrity, for achieving the most accurate information or answers for a data source / content (10) focused on a specific topic or question, which may be an updatable comprehensive book, article, or similar work wherein all positive, opposing and other alternative views on the relevant content are reported together with their sources / references, comprising: at least one user interface (30) that allows users (20) to access the platform via internet-connected devices (40) and evaluate the data source (10) over the internet (42), with certain levels of assigned users verifying said inputs or suggesting alternatives along with their sources; at least one secure web server (46) protected by at least one firewall (44), providing user access; at least one main server (50) housing the necessary software and algorithms to process said content and execute operations accordingly; and at least one database (60) storing all data; characterized in that said platform comprises the following components: a positive data source (11) containing at least one positive source data / content and an opposing data source (12) containing at least one opposing source data / content corresponding to the focused topic or question, within said data source (10); a data source identification and assignment module (51) for categorizing the data source (10) into positive and opposing categories (11 , 12); a user level assignment module (52) for assigning users (20) to a first category as experts (23), a second category as active users (22), a third category as general users (21), and a fourth category as referees (24);- An electronic response module (53) that enables the data source (10) created based on a specific topic or question to be accessed by at least two categories of assigned user groups (20) for evaluations such as approval, removal, and / or addition of new data; a verification audit module (54) configured to assess the validity and verify the accuracy of the data source (10) and resulting draft contents (70), which are reviewed by users via said electronic response module (53), by providing access to artificial intelligence (55) and / or a panel of referees (24); a multi-layered database (60) where all data, including online and offline content, is processed and stored, comprising the draft contents evaluated (71 , 72, 73) and then those passed through the verification audit (74, 75) via the verification audit module (54); at least one user interface (30) enabling user interactions (32, 34) for voting on existing content, adding new data, making assessments and verifications, and customizing content views.

2. The digital data integration and verification platform according to Claim 1 , characterized in that said data source (10) comprises, in addition to positive and opposing data sources (11 , 12) for the focused topic or question, other or neutral data sources (13) that are not yet determined or may be added in the future, and future update data contents (82, 84) to be incorporated into said data source (13).

3. The digital data integration and verification platform according to Claim 1 or 2, characterized in that said database (60) comprises a draft database layer category containing initial draft data (10) collected from various sources; an electronic response draft database layer category where the initial draft data evaluated by the first user group is stored, and corresponding draft contents (71 , 72, 73) thereof; a referee level and / or Al evaluation draft data layers containing data subjected to verification for confirmation and corresponding draft contents (74, 75) thereof; currently a published updated database layer category (80) and a future database layer category containing future data to be evaluated over time (82, 84).

4. The digital data integration and verification platform according to anyone of the preceding claims, characterized in that said verification audit module (54) comprisesdata accuracy scaling and scoring features based on the levels of assigned users, consistency of each user, Al (55) evaluations, and / or evaluations by the referee panel (24) to assess the validity of the data source (10) and the resulting draft contents (70) thereof evaluated by users through said electronic response module (53) and to ensure data accuracy.

5. The digital data integration and verification platform according to anyone of the preceding claims, characterized in that said data source (10) to be evaluated and the resulting draft contents (70) after evaluation comprise data extracted from relevant source works and recombined under a single main source, listed under common main headings and subheadings as needed, allowing for scoring and statistical measurements.

6. The digital data integration and verification platform according to anyone of the preceding claims, characterized in that said Al system (55) comprises advanced algorithms to evaluate and enhance data accuracy and authenticity, dynamically compare incoming data with verified sources, and ensure the reliability and consistency of processed data and evaluation results.

7. The digital data integration and verification platform according to anyone of the preceding claims, characterized by comprising, in addition to the Al (55) support for data processing and content verification processes, machine learning (56) algorithms and / or a genetic model with a verification optimization algorithm (57) to filter and verify current database data content based on patterns learned from past data arrangements and verifications, and dynamically update content to be verified in the future based on new incoming data and user contributions.

8. The digital data integration and verification platform according to anyone of the preceding claims, characterized by further comprising a content collection module using specialized algorithms to source and compile data from various digital environments, such as the internet, social media, and public databases.

9. The digital data integration and verification platform according to anyone of the preceding claims, characterized by further comprising software and tools for machine learning (56) and / or software and tools for a genetic model with a verification optimization algorithm (57) to identify data sources (10) from the digital environment and supply additional relevant sources to the platform.

10. The digital data integration and verification platform according to anyone of the preceding claims, characterized by further comprising a user access control tool to activate said user interaction for content addition, verification, and updates.

11. The digital data integration and verification platform according to anyone of the preceding claims, characterized by further comprising a filtered public interface developed for public access and containing community-approved data.

12. The digital data integration and verification platform according to anyone of the preceding claims, characterized in that said assigned user categories further comprise an anonymous fourth level assigned by the user level assignment module (52).

13. The digital data integration and verification platform according to anyone of the preceding claims, characterized in that said verification activity module comprises an expert review panel structured to assess the validity and improve the accuracy of the data provided by users.

14. The digital data integration and verification platform according to anyone of the preceding claims, characterized in that the initially verified and published data source (80) comprises a comprehensive book, encyclopedia, newspaper, article, blog post, or similar work, and / or individual or combined parts thereof, and / or other audio or visual information sources (17) reporting the views corresponding to the focused topic or question, primarily categorized as positive and opposing, along with references (14) provided from internet and / or printed documents (15, 16).

15. The digital data integration and verification platform according to anyone of the preceding claims, characterized by further comprising, as an output, a digital or physical application tool that evaluates and measures people's reactions in real-time or in the future and comprises a book, encyclopedia, document, opinion, article, survey, impression, trend, and similar digital or physical printed work, based on the focused topic or question, open to examination by the public.

16. The digital data integration and verification platform according to anyone of the preceding claims, characterized in that the output includes drafts (71 , 72, 73) evaluated, prepared, stored, or published as works by users on an individual basis, categorized by their levels as entry-level, active-level, or expert-level through the platform or through user-designated methods, based on the focused topic or question.

17. The digital data integration and verification platform according to anyone of the preceding claims, characterized by further comprising communication and verification tools, in conjunction with the currently published data source and contents (80), for a content related to the same or different topics (86, 88), and a filtered content and updates (82, 84) over time, either derived from these sources or developed internally.

18. The digital data integration and verification platform according to anyone of the preceding claims, further comprising machine learning models used for semantic analysis, consistency checking, and cross-referencing with verified sources to improve data accuracy and suitability.

19. The digital data integration and verification platform according to anyone of the preceding claims, further comprising a security framework to provide protection against unauthorized access and data breaches.

20. A method for providing the most accurate and up-to-date information, ensuring data verification and comprehensive content integrity for a data source (10) created on a single topic or question focus, integrating both real user participation and artificial intelligence to ensure dynamic information quality and security guarantee in a digital program or system, characterized by comprising the following process steps: categorizing (200) said data source (10) created for each topic or question focus (100) through a data source identification and assignment module (51) to include at least one positive data source (11) and at least one opposing data source (12); categorizing and thus authorizing (300) users through a user level assignment module (52) into at least an expert level as a first category (23), an active level as a second category (22), a general level as a third category (21), and a referee level as a fourth category (24); publishing (400) the data source (10) created and categorized (70) on a specific topic or question focus and allowing access by at least two categories (71 , 72, or 73) of the assigned user groups (20) for evaluations such as approval, removal, and / or addition of new data through an electronic response module (53); scoring (500) said data source through a coefficient algorithm in said electronic response module (53) and adding any additional sources if available;verifying (600) the data source (10) evaluated by users through said electronic response module (53) and the resulting scored draft contents (70) by providing access to artificial intelligence (55) and / or a panel of referees (24) through a verification audit module (54); creating (700) a scored and verified current data source (80) with the draft contents (74, 75) evaluated and passed through the verification audit by said verification audit module (54) and thereby publishing the created data source (80); providing a continuously updated and verified operation (900) with the revision of the current data source (80) by evaluating other user additions or newly incoming data sources over time through the electronic response module (53), thus establishing a cycle (800) thereof.

21. The digital data integration and verification method according to Claim 20, further comprising the step of incorporating newly emerged information into the data source (10) in the future, and enabling the listed items and / or sub-items within said data source category (10) to interact with other data sources, thereby mutually enriching each other.

22. The digital data integration and verification method according to Claim 20, further comprising the step of allowing all sub-items within said data source (80), when necessary, to interact with the final form of the data source (84) or sub-items (82) thereof, and exchange information with sub-items in other data sources (86, 88) on various topics.

23. The digital data integration and verification method according to Claim 20, further comprising the step of allowing the drafts (71 , 72, 73) created by end-users (21 , 22, 23) to be re-evaluated and edited by the relevant users within a specified time period before being finally sent for evaluation by the referee panel or Al.

24. The digital data integration and verification method according to Claim 20, further comprising the step of allowing a user to create his or her independent data source (400) from the evaluated data source (10) and the resulting scored draft contents (70) through said electronic response module (53).

25. The digital data integration and verification method according to Claim 20, further characterized by the Al algorithms evaluating, scoring, and approving user contributions and content updates, automatically assessing the accuracy, reliability, and validity of data sources, analyzing individual user consistency and relevance of contributions, and ensuring content meets scientific and objective standards.

26. The digital data integration and verification method according to Claim 20, further comprising the steps of processing user inputs through a web server protected by a firewall, managing the processed content on a main server equipped with the necessary software and algorithms, and categorizing and storing the processed data in a dynamic and Al-supported database.

27. The digital data integration and verification method according to Claim 20, further comprising the use of machine learning algorithms to integrate existing content in the database with new information added by users, dynamically update the content, and provide adaptation, while the Al algorithms ensure the compatibility of new information during the database addition process thereof and dynamically adjust the compatibility with old information to maintain content integrity.

28. The digital data integration and verification method according to Claim 20, further comprising the step of facilitating user interactions through filtering tools and / or software algorithms for voting, adding new data, and customizing content views.

29. The digital data integration and verification method according to Claim 20, further comprising the step of scaling and scoring the verification of data provided by users based on the levels and individual consistency of assigned users, Al evaluations, and / or referee panel evaluations.

30. The digital data integration and verification method according to Claim 20, further comprising the step of categorizing initially collected data sources (10) into main headings listed as "positive" (11) for the most accepted, "opposing" (12) for other alternatives, and related subheadings, and creating associated statistical values and user level mappings.

31. The digital data integration and verification method according to Claim 20, further comprising the steps of transferring categorized data sources (10) on any topic or question focus to an interactive digital environment accessible via the internet, with thedigital environment featuring a simple user interface that allows the public to rate items as "approve / reject," and conducting an initial mass evaluation similar to a public vote.

32. The digital data integration and verification method according to Claim 20, further comprising the steps of obtaining community feedback on initially collected draft data before submission to Al and referee panel review, allowing the community to edit the content to address deficiencies, and granting registered users who provide requested personal information the right to comment, fix deficiencies, or re-edit certain parts of the data source / content.

33. The digital data integration and verification method according to Claim 20, further comprising the steps of assigning user categorizations and determining competency level coefficients based on registered users' personal information such as age, gender, and field of expertise.

34. The digital data integration and verification method according to Claim 20, further comprising the step of implementing a secondary filtering process to measure the rationality and stability of changes made by users based on their previous choices and recalculating their coefficient scores when users are granted the right to modify their drafts.

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