User-driven fact-checking, certification, and information reliability improvement system

Abstract

To enhance content tampering prevention and authenticity assurance, we provide a user-driven fact-checking and authentication system. [Solution] The user-driven fact-checking authentication system automatically acquires environmental information related to the content, the features of the content, and user-related authentication information, integrates these to generate unique identification information, verifies the consistency between this unique identification information and information subsequently entered by the user in real time using a one-click fact-checking (1FC) process, activates the submit button only if consistency is confirmed, integrates the features automatically extracted from the 1FC-authenticated user-input text information with the unique identification information to generate unique integrated identification information, hashes this unique integrated identification information using a cryptographic hash function, and permanently guarantees the authenticity and tamper resistance of the content.

Description

Technical Field

[0001] The present invention relates to an authentication system for ensuring the authenticity, preventing forgery, evaluating social impacts, and digital assetization of digital content. In particular, it relates to technologies for realizing a real-time one-click fact-check (hereinafter referred to as 1FC) process, visualizing social evaluations, and irreversible data storage for digital content acquired or generated using smartphones, surveillance cameras, IoT devices, etc. Furthermore, the present invention belongs to the technical field of contributing to the reliability, transparency, and value formation as long-term digital assets of posted data by utilizing blockchain technology and forgery-preventing data stores. This technology can be applied in a wide range of fields such as SNS, news agencies, academic fields, disaster response, Web3 environments, etc.

Background Art

[0002] As used herein, "the content" shall include any digital data (images, videos, texts, voices, IoT device data, etc.) circulating on the network. With the spread of the Internet and SNS, an environment has been established where individuals and organizations can easily transmit and share various types of the content. However, along with the expansion of this information circulation, the following issues related to the authenticity, forgery prevention, and transparency of social evaluations of the content have become apparent. 1. Risk of tampering with the content. : In conventional information circulation systems, the fact that the content can be easily forged has become a major issue. In particular, fact-checking depends on a manual process, and it is difficult to confirm authenticity in real time. Cases where forgeries and false information spread after posting, causing social chaos such as fake news and misinformation, are increasing. 2. Lack of transparency in social evaluation : Evaluation indicators such as "likes", comments, and shares on SNS are transient and subjective, and there is no systematic mechanism for objectively evaluating the reliability of the content.​​​​​ It lacks accuracy. Furthermore, evaluation data can be falsified or manipulated, making it difficult to verify the accuracy of the information. It is difficult to accurately guarantee its validity and reliability. 3. Limitations of tamper prevention and authenticity assurance Blockchain technology guarantees data immutability. While widely recognized as a method, pre-transmission fact-checking and immediate authentication of the content are not necessary. It does not support all functions. In particular, during disasters or when communication infrastructure is unstable, data Maintaining authenticity in real time is technically difficult. 4. Challenges in digitizing assets Even if the content is of high social value, the conventional system TEM lacks a system for long-term storage and management of its social impact and evaluation history. Furthermore, the reliability and social value of the content are combined and transformed into a digital asset. The technical methods are immature. [Prior art documents] [Patent Documents]

[0003] [Patent Document 1] Patent No. 7573771 [Patent Document 2] Patent No. 7246458 [Patent Document 3] Japanese Patent Publication No. 2022-115159 [Non-Patent Document 1] Potential for improving data reliability through blockchain technology [Non-Patent Document 2] Ensuring data reliability in social media: Technical perspectives on combating fake news [Overview of the project] [Problems that the invention aims to solve]

[0004] In recent years, the volume of such content circulating through social media and other media has increased explosively, while the following technical challenges have become increasingly serious. Issues to be resolved Task 1: The absence of effective tamper-proofing technology to verify the authenticity of the content. 1. Risks of digital content tampering and misinformation dissemination: Tampering with, falsifying, and disseminating misinformation about content are serious issues that can cause social disruption. Conventional systems are reactive in detecting tampering, making real-time prevention difficult. 2. Absence of user-driven fact-checking features: Traditionally, this relies on reviews by third-party organizations and algorithms, lacking a means for users themselves to proactively verify the authenticity of the content. User involvement is essential in preventing the spread of misinformation. 3. Difficulty in balancing reliability and privacy: Advanced tamper-proof technologies raise concerns about privacy infringement, making it challenging to strike a balance between anonymity and reliability. 4. Loss of authentication information due to changes in the network environment: There is a risk that the authentication system may malfunction during disasters or communication failures. Task 2: The content in question has diverse characteristics, including factual information, opinions, and warnings, but conventional posting systems have ambiguous classifications of these, making it difficult to accurately evaluate the reliability of the information. 1. There is a lack of mechanisms to properly evaluate the importance and reliability of the content in question. 2. Facts and opinions are being confused, creating a breeding ground for the spread of misinformation. 3. Lack of categorization reduces the accuracy of fact-checking. Task 3: Traditional posting systems lack the functionality to verify the authenticity of content before submission, creating a risk of misinformation spreading. 1. Because there is no way to verify authenticity before transmission, misinformation spreads unverified. 2. Users may unknowingly post inaccurate content, leading to unintended misunderstandings and harm. 3. Traditional fact-checking is centrally managed and cumbersome, lacking immediacy. Task 4: Existing posting systems lack a function to assist in correcting incorrect content. 1. After detecting misinformation, no specific correction method is presented: It only indicates an error, but it is unclear where the error lies and how to correct it. 2. Correction work that depends on the user's subjectivity: When it is difficult to identify errors, misinformation may be left uncorrected and posted as incorrect. 3. The results of fact-checking cannot be utilized: Traditional systems only display the results of fact-checking as mere warnings and do not lead to specific actions. Task 5: There is a lack of means for the recipient to easily confirm the authenticity of the content. 1. There is no tampering detection function at the time of reception, and the risk of misinformation spreading is high. 2. By sharing the content without the recipient verifying its authenticity, misinformation may spread rapidly. Task 6: During disasters or when the network is interrupted in an emergency, it is difficult to maintain the authentication of the content. 1. The risk of loss of authentication information due to network failures. 2. Difficulties in real-time authentication and tampering verification under unstable network conditions. Task 7: Prevention of content tampering and anonymity management on external platforms are insufficient. 1. Content tampering and unauthorized editing on external platforms are easy, and it is difficult to guarantee authenticity. 2. There is a lack of a mechanism to ensure the reliability of the content while maintaining anonymity. 3. There is a lack of consistency in reliability evaluation between platforms. 4. There are insufficient visual indicators for ordinary users to intuitively judge the reliability of the content. Task 8: There is a lack of a mechanism to appropriately evaluate and record the social influence and value of the content. 1. It is difficult to quantify social evaluations. 2. When the evaluation data is tampered with, the reliability of the content decreases. 3. Long-term value preservation is insufficient, and ensuring sustainable reliability is an issue. 4. The evaluation lacks transparency and the data reliability is low. 5. The mechanism for monetizing the social influence of the content as a digital asset is insufficient. Task 9: In the conventional content authentication system, even if the authenticity of information is guaranteed, there is no mechanism to provide a direct economic reward (e.g., a tip) to the accurate information sender. Therefore, the incentive mechanism for continuously promoting the transmission of reliable information is insufficient.

Means for Solving the Problems

[0005] Solution 1: Guaranteeing the authenticity of the content The present invention provides a user-led fact-check authentication system to strengthen the prevention of tampering and guarantee the authenticity of the content. By combining the following technical means, this system realizes the real-time assurance of information reliability. 1. Automatic acquisition and integrated management at the time of content acquisition: When a user acquires or generates the content using a smartphone, surveillance camera, IoT device, etc., the following information is automatically acquired immediately. · Environmental information: Location information, shooting date and time, device ID, etc. · Feature quantities of the content: Meta information of image and video data, analysis results · User-related authentication information: Identity confirmation information, user ID, device unique identifier, login information, etc. By integrating these and generating them as "the unique identification information", it serves as the basis for subsequent fact-checking and tampering prevention processing. 2. One-click fact-check (1FC) process: A process for verifying in real time the consistency between the text information later input by the user and the aforementioned unique identification information. • Process details: When the user clicks the "1FC button," the system automatically performs authenticity verification. Only if the authenticity verification is successful will the submit button be activated, allowing the content to be submitted. • Authentication conditions: Verification of authenticity based on a comprehensive consistency evaluation of the unique identification information and the user's text input information. This process prevents the risk of misinformation and falsified data spreading. 3. Generation of unique integrated identification information: Unique integrated identification information is generated by integrating the features automatically extracted from the 1FC-authenticated user input text information with the unique identification information. Features: Because it uses text information that is guaranteed to be 1FC certified, the data is highly reliable and the risk of tampering is reduced. • Application: This integrated identification information will serve as the basis for subsequent tamper detection and reliability evaluation. 4. Enhanced protection against tampering and assurance of authenticity: The generated unique unified identification information is hashed using a cryptographic hash function and recorded irreversibly using the following tamper-proof techniques. • Blockchain: Guarantees data immutability and transparency • Tamper-proof data store: Combines high-speed access with robust security. This mechanism permanently guarantees the authenticity and tamper resistance of the content. 5. Flexible Anonymity Management and Privacy Protection: Users can choose their posting mode, including complete anonymity, nicknames, and real names. Depending on the posting mode, an appropriate authentication framework is applied to ensure both privacy protection and data reliability. 6. Network-adaptive authentication information retention function (disaster / emergency mode): Equipped with an adaptive management function that retains and resynchronizes authentication information in response to changes in the communication environment. In disaster or emergency mode, AI analysis is added to analyze the content in real time and assess the risk of tampering.

[0006] Solution 2: Classification and reliability assessment of the content This invention employs the following technical approach to improve the reliability evaluation of the content. 1. Implementation of category classification function: Users will be prompted to classify the information they enter into the following categories. • Factual information: Information based on objective events and data. • Opinion information: Personal views or subjective evaluations. • Warning information: Information that serves as a cautionary reminder of danger or hazards. 2. Consistency Assessment Process: A consistency check is performed between the user-selected category and the acquired environmental information and unique identifying information (e.g., location information, device ID, timestamp). Example: Verify that a post stating "a flood occurred" matches the actual location and date of the photo. 3. Reliability Score Generation: A dynamic reliability score is calculated based on the consistency evaluation results for each category. This score is updated as needed, taking into account the post's past history and evaluation feedback. 4. Dynamic evaluation criteria optimization: AI-powered optimization of evaluation criteria is achieved based on users' past posting data and accumulated reliability scores. This will continuously improve the accuracy of fact-checking.

[0007] Solution 3: Authenticity verification of the content before transmission. This invention introduces a mechanism to verify the authenticity of content in real time before transmission, in order to minimize the risk of misinformation spreading. 1. Implementation of the 1FC process: A button is placed on the interface that allows the user to execute 1FC after completing the input. Verification is performed immediately with a single click, requiring no complex operations. 2. Real-time consistency verification: The system compares automatically acquired environmental information (location information, timestamp, device ID, etc.) with user-entered information in real time. If a discrepancy is found, the system automatically displays a warning message. 3. Transmission control function: The transmit button is activated only if authenticity is confirmed as a result of the 1FC process. If a mismatch is detected, transmission is disabled and correction instructions are automatically provided. 4. Visual Feedback: Authentication results are displayed using visual indicators such as green (consistent) / red (inconsistent) so that users can see the results at a glance.

[0008] Solution 4: Content modification support function This invention prevents the spread of misinformation by providing a support function that allows users to efficiently correct misinformation. 1. Automatic identification of misinformation: If inconsistencies are detected in the 1FC process, the system automatically identifies the source of the error. Anomalies and points of inconsistency, such as location information, dates, and factual details, are highlighted. 2. Provision of specific correction guidelines: Automatically generates recommended correction messages (e.g., "The location where the photo was taken does not match the place name listed"). By comparing this with the user's input history and analyzing past error patterns, the system provides optimal correction advice. 3. AI-based suggestion function: The system learns from past correction data and provides optimized correction suggestions for each user. Example: "This is a similar pattern to the previous error. Last time, we corrected it as follows." 4. Interactive revision process: Users can review their revisions and perform re-verification in real time. After revisions, the 1FC process can be performed again with a single click, enabling quick posting.

[0009] Solution 5: Means by which recipients of the content can verify its authenticity. This invention provides a function that allows recipients of the content to easily verify its authenticity, thereby contributing to the prevention of the spread of misinformation. 1. Provision of a 1FC process upon receipt: Recipients can perform a fact check (1FC) with a single click before viewing the content. This allows recipients to verify the authenticity of the information themselves. 2. Real-time authentication and visual feedback: After 1FC is performed, if integrity is confirmed, a green badge or authenticated mark will be displayed. If inconsistencies are detected, a warning message will be displayed and access restrictions will be applied. 3. Tampering Detection and Automatic Notification Function: If tampering is detected upon receipt, the system automatically sends a warning to the poster and the management system. This enables early detection and response to fraudulent data. 4. User-driven credibility evaluation function: This feature allows recipients to evaluate the credibility of the content based on their review and post simple feedback. This improves the transparency of social evaluation.

[0010] Solution 6: Maintenance and management of authentication information in response to changes in the network environment. This invention maintains and manages the authentication information of the content in response to changes in the communication environment, and ensures the authenticity of the data even in the event of a disaster or network failure. 1. Network-adaptive authentication management: Authentication information is stored in cloud-based or local storage depending on the network conditions. When the network is restored, the synchronization process is automatically performed. 2. Temporary storage and resynchronization function in case of failure: If authentication information cannot be sent, it will be temporarily stored in the local environment and automatically resynchronized after recovery. A tamper detection algorithm will be applied during resynchronization. 3. Disaster Mode and AI Analysis Function: In emergency mode, AI analysis is added to assess the risk of tampering in real time. The AI ​​analyzes abnormal data patterns and traces of tampering, enabling a rapid response. 4. Improved fault tolerance: Redundant data structures and distributed ledger technology maintain data integrity even during network failures.

[0011] Solution 7: Integration with external platforms and anonymity management This invention ensures both the authenticity of the content and the anonymity of the poster, even on external platforms. 1. Integration with external platforms: Authentication information (e.g., hash value, identification code) is added to external platforms to prevent tampering. Visual authentication information (e.g., QR code, digital badge, watermark) can be added for users to verify at a glance. A link-based authentication method is adopted, and the system is designed to allow easy access to authentication results even on external sites. 2. User Anonymity Management Function: Users can select their anonymity level from the following three modes: • Complete anonymity: User information is not disclosed, and anonymity is maintained only within the system. • Nickname: Nicknames are associated with identification information to maintain trust between users. • Real Name: Authentication is based on real name information, ensuring a high level of reliability. Appropriate authentication information is automatically generated according to each mode, ensuring both privacy protection and reliability. 3. Transparency and visibility of authentication results: Content posted to external platforms will display a badge or icon indicating its authentication status. Recipients can check the authentication result with a single click, preventing tampering and fraudulent posting. 4. Distributed management of authentication information: Depending on the constraints of the external platform, authentication information is recorded on a distributed ledger (e.g., blockchain) or cloud server. This avoids platform-specific security risks and maintains authenticity.

[0012] Solution 8: Visualizing and monetizing the social impact of the content. This invention provides a technical means for visualizing the social impact of content and managing its value as a digital asset. 1. Visualization of social impact: Collect "gratitude actions" from recipients (e.g., likes, shares, comments) and quantify the degree of social impact the content has. Based on the history of gratitude actions, calculate a social credibility score. 2. Prevention of tampering with evaluation data: Gratitude actions and evaluation data are irreversibly recorded using cryptographic hashing and blockchain technology. This makes it impossible to tamper with evaluation data. 3. Value Creation as a Digital Asset: Highly rated content can be capitalized as NFTs or digital tokens. By combining social reputation and trustworthiness, it can be managed as a digital asset with economic value. 4. Ensuring Transparency and Open Access: We provide an open interface that allows third parties to verify the evaluation history. By allowing anyone to check the social evaluation of posts, we achieve highly transparent information flow.

[0013] Solution 9: This invention provides a mechanism that allows users to directly tip content whose authenticity has been verified based on the 1FC process (e.g., digital tokens, electronic money, etc.). The tipping history is irreversibly recorded using tamper-proof technology (blockchain, etc.), enabling highly transparent economic evaluation. By linking with trust scores and appreciation actions, and enhancing the tipping recommendation function, a healthy information distribution ecosystem is promoted. [Effects of the Invention]

[0014] Effect 1. Authenticity Assurance of the Content: By automatically acquiring and integrating environmental information (location information, date and time of shooting, device ID, etc.) and feature quantities, the risk of tampering with the content is significantly reduced. Cryptographic hashing and irreversible recording to a tamper-proof data store (e.g., blockchain) permanently guarantee the authenticity of the data. This enables rapid, real-time authenticity verification while minimizing user interaction. Effect 2. Content Classification and Reliability Assessment: Through categorization into factual information, opinion information, and cautionary information, reliability assessment can be performed according to the nature of the information. The consistency assessment process enables the early detection of misinformation in the content, contributing to improved transparency and reliability in information dissemination. Dynamic optimization of evaluation criteria enables continuous improvement of fact-checking accuracy. Effect 3:One-Click Fact Check (1FC): Users can easily perform fact checks with a single click, quickly verifying the authenticity of content before sending it. Based on the results of the 1FC process, if tampering is detected, transmission is automatically controlled, significantly reducing the risk of misinformation spreading. Effect 4: Correction support function: When consistency inconsistencies are detected in the FC process, the system automatically identifies the relevant sections and provides specific correction guidelines. AI-based learning support analyzes each user's correction history and provides optimal correction suggestions. This promotes the early correction of misinformation and improves users' information literacy. Effect 5: Authenticity Verification by Recipients: Recipients can easily verify the authenticity of the content through the 1FC process before viewing it. If tampering is detected, a visual warning is displayed along with a function to notify recipients of the fraud risk, preventing the risk of recipients unknowingly spreading misinformation. Effect 6: Adapting to changes in the network environment: Authentication information is temporarily stored in the local environment even during network failures and automatically resynchronized after recovery to maintain the authenticity of the content. In disaster mode, AI analysis is used to enhance real-time assessment of tampering risk, ensuring data reliability in emergencies. Effect 7: Integration with external platforms and anonymity management: Authentication information is temporarily stored in the local environment even during network failures and automatically resynchronized after recovery to maintain the authenticity of the content. In disaster mode, AI analysis is used to enhance real-time assessment of tampering risk, ensuring data reliability in emergencies. Effect 8: Assetizing social evaluation data: "Thank you actions" and evaluation data from recipients are irreversibly stored, quantifying the social impact of the content. This gives the evaluation data itself value as a digital asset, making it possible to convert it into economic value. Furthermore, ensuring transparency in evaluation history contributes to the construction of a healthy information distribution ecosystem. Effect 9:Providing economic incentives to accurate information providers: Verified information providers can receive direct rewards through tips. Economic incentives for improving information quality and suppressing misinformation will promote the dissemination of accurate information and contribute to preventing the spread of misinformation. Furthermore, the history of donations is irreversibly stored using blockchain technology, eliminating the risk of fraud or tampering and ensuring transparency. [Modes for carrying out the invention] [Examples]

[0015] Authenticity guarantee of the content 1. Acquisition of digital content: To report the situation at the disaster site, users need to use their smartphones The system takes photos and videos of the site using a phone. The system collects location information, date and time of shooting, and device ID (circuit). The system automatically acquires information about the environment, the features of the content, and user-related authentication information. The acquired data is integrated and generated as "the unique identification information". 2. One-Click Fact Check (1FC) Process: The user enters a text description of the disaster situation and clicks the 1FC button. The system verifies the consistency between the unique identification information and the user-entered text in real time. If consistency is confirmed, the submit button is activated, and the content can be submitted. If there is a mismatch, a warning that submission is not possible is displayed, prompting the user to re-verify. 3. Generation of unique integrated identification information: Features are automatically extracted from 1FC-certified text information and integrated with the unique identification information to generate "unique integrated identification information". 4. Tamper-proofing and authenticity guarantee: Integrated identification information is hashed using a cryptographic hash function. By recording hash values ​​on the blockchain, data tampering is irreversibly prevented. 5. Maintaining Reliability in Disaster Mode: Even during network failures, authentication information is stored locally and automatically resynchronized after recovery. In disaster mode, AI analysis is performed to assess the risk of tampering, further enhancing the maintenance of authenticity. effect: This system ensures the authenticity of content at disaster sites in real time, preventing the spread of misinformation and contributing to the acceleration of disaster relief efforts. significance: Its use by public institutions and media organizations enhances social credibility. It also functions as a robust authentication system during disasters and emergencies. [Examples]

[0016] Disaster information posting and reliability evaluation 1. Creating the content: A user takes a photo of a flooded road and enters the text, "The road is flooded. Please evacuate." 2. Category Selection: The content of the posts will be classified into "Factual Information" and "Warning Information." Factual information will cover flooding conditions, while warning information will cover calls for evacuation. 3. Consistency Assessment: The consistency of automatically acquired GPS information, shooting date and time, device ID, and text content is verified using the 1FC process. If consistency is confirmed, a high reliability score is assigned. 4. Display of Reliability Score: Based on the reliability evaluation, "Reliability: High" is clearly displayed, allowing recipients to use the information with confidence. If a discrepancy is detected, a warning will be displayed. significance: Promoting healthy information flow: Clearly distinguishing between facts and opinions creates a social foundation for the rapid sharing of accurate information. Significantly reduces the risk of misinformation spread on social media and during disasters as a countermeasure against misinformation. As a self-learning system, it utilizes the history of reliability evaluations, and the AI ​​autonomously optimizes the system, enabling continuous system growth. The category selection process contributes to changing user awareness and improving information literacy. [Examples]

[0017] Information posting and authenticity verification during disasters 1. Creation of the content: Immediately after a major earthquake, the user takes photos of the damage and enters the text, "Buildings have collapsed in the XX area." 2. Execution of the 1FC process: After completing the input, the user clicks the "1FC button". The system verifies the following information in real time. • Information obtained: GPS location information at the time of shooting, date and time of shooting, device ID. • Input information: Check if the content "Collapsed in the XX area" matches the location information. 3. Consistency Evaluation Result: If consistency is confirmed → The submit button is activated, and the user can post. Visual feedback (such as a green verification badge) is displayed. If there is a mismatch, the submit button will be disabled. An automatic correction guide will be displayed stating, "The entered district name does not match the actual shooting location." 4. Prevention of misinformation spread: Even if there are input errors, the system automatically detects the errors before transmission, preventing the spread of misinformation. significance: Suppression of misinformation dissemination (pre-transmission verification prevents the spread of misinformation). Increased confidence in information dissemination (users can reduce the risk of posting errors). Improved reliability of the information ecosystem (accuracy improves through continuous system learning). [Examples]

[0018] Support for correcting misinformation in disaster information posts 1. Scenario: The entry reads "Fire breaks out in XX city!", but the actual filming location was △△ city, which is an error. 2. Execution of the 1FC process: The user clicks the 1FC button. The system detects a mismatch and fails to send the data. 3. Automatic identification and correction guidance for errors: Incorrect place names are highlighted in red, and a correction guide is displayed stating, "Does not match GPS information." 4. AI-powered correction suggestions: Based on past input errors, the system suggests appropriate correction options (e.g., △△ City). 5. Re-verification and submission: After correction, the 1FC process will be run again, and submission will be possible only after consistency has been confirmed. significance: Preventing the spread of misinformation (blocking misinformation before it is sent). User education effect (improving fact-checking literacy). Accurate information transmission (contributing to reliable information sharing during disasters). [Examples]

[0019] Authenticity verification when receiving news content 1. Scenario: Receive news and photos of the scene stating, "A major earthquake has occurred in XX!" 2. Execution of the 1FC process: The recipient clicks the 1FC button, and the identification information at the time of posting is matched with the received data in real time. 3. Display of authentication results: No tampering → Trustworthy badge displayed. Tampering detected → Warning displayed, automatic reporting, and the content in question is made invisible (grayed out, etc.). 4. Final Decision: Based on the authentication results, recipients can only share reliable information. This prevents the secondary spread of misinformation. significance: Suppression of misinformation spread (prevention of secondary spread through authenticity verification). Improvement of information literacy (user-initiated authenticity verification process). Ensuring transparency (authentication results are visually displayed). [Examples]

[0020] Information authentication during disasters and tamper detection using AI analysis. 1. Scenario: Disaster Occurrence and Network Failure: A large-scale earthquake occurs, and internet connectivity becomes unstable or completely cut off in the affected area. Users take photos of the damage with their smartphones and create content. 2. Handling of network failures: The content is temporarily stored in the terminal's local storage. Furthermore, after 1FC authentication, redundant storage is performed between neighboring devices via the P2P network. 3. Resynchronization after network restoration: Once the internet connection is restored, the locally saved 1FC-authenticated content will be automatically synchronized to the cloud and made publicly available for sharing on the network. Content that is not 1FC-authenticated will remain untransmitted, and the system administrator will be notified accordingly. significance:Preventing misinformation (tamper prevention even when offline). Suppressing social disruption during disasters (accurate information). (Preventing panic through information provision). [Examples]

[0021] Authentication and anonymity management on social networking platforms 1. Scenario: Posting the content to social media: A user posts images or videos to a social media platform (e.g., X, Facebook, Instagram, etc.). 2. Assignment of Authentication Information: Authentication is completed by 1FC before posting. The system automatically retrieves environmental information and authentication information related to the content, hashes it, and stores it. The content is assigned an authenticated badge (e.g., a blue checkmark) and a QR code, allowing the authentication status to be visually confirmed on external platforms as well. 3. Anonymity Options: Users can choose from the following three modes when posting. • Complete anonymity: Poster information is kept private, and an ID is maintained that is identifiable only within the system. • Nickname: A nickname is associated with a unique identification code, allowing for limited identification. • Real Names: Real names are displayed to ensure maximum reliability. 4. Verification by the recipient: Recipients can verify the authenticity and tampering history of the content simply by clicking on the authentication badge, QR code, or link text. If fraud is detected, a warning message and an alert regarding suspected tampering will be displayed. 5. Maintaining consistency across external platforms: Even if the same content is shared on multiple social media platforms, authentication information remains consistent, allowing for cross-platform verification of whether or not content has been tampered with. significance:Preventing tampering and ensuring transparency on external platforms. Maintaining a balance between anonymity and trustworthiness, protecting user privacy while guaranteeing authenticity. Contributing to improved reliability in the SNS environment by promoting the healthy flow of information. A fair authentication system is available to a wide range of information providers, from individuals to media companies. Reducing the risk of the spread of misinformation and false information, contributing to improved social trust. Building a consistent authentication infrastructure across web platforms. [Examples]

[0022] Visualizing social impact and digitizing it as an asset. 1. Scenario: Posting the content as a disaster report: A user takes photos or videos of the disaster site with their smartphone and posts the content. 2. Collection of Appreciation Actions: Other users can take "appreciation actions" (e.g., clicking the thank you button, leaving a positive comment) if they found the post helpful. Appreciation actions can also include a short message (e.g., "This information was helpful for evacuation!"). 3. Calculation of Social Impact Score: The system automatically calculates a social impact score based on the number, quality, and reach of gratitude actions. For example, it is visualized as "Impact Score: 92 / 100" and can be viewed by anyone. 4. Irreversible storage of evaluation data: Gratitude actions and influence scores are cryptographically hashed and recorded on the blockchain. This makes it impossible to tamper with evaluation history. 5. Digital Asset Creation: Posts with high impact scores can be registered as digital assets (e.g., NFTs). For example, specific posts can be used as disaster prevention education or research materials, creating secondary value. 5. Transparent third-party evaluation verification: Anyone can verify the evaluation history by clicking on the QR code or authentication badge. This maintains the transparency and reliability of the evaluations. significance:Visualization of social contribution: Allows for objective evaluation of the impact of information on society. Prevention of misinformation: Prevents the spread of misinformation and fake news through tamper-proof evaluation data. Sustainable value creation: Enables the preservation and management of long-term social value, rather than just a fleeting one. Establishes a new ecosystem where information is valued and protected not merely as content, but as a digital asset. Long-term preservation of socially important information promotes secondary use in disaster response, research, and education. High compatibility with Web3 and blockchain technologies enables application to the next-generation digital economy. [Examples]

[0023] Tips for those who provide accurate information during disasters 1. Scenario: Donating to those who provide accurate information during a disaster. 2. The user authenticates photos taken at the disaster site through the 1FC process and posts the content. 3. For posts that are highly rated for their authenticity, viewers can send digital tokens or other rewards by clicking the tipping button. 4. Donations received are recorded on the blockchain, ensuring transparent economic evaluation. 5. Through this incentive, users gain motivation to continuously provide accurate information. [Industrial applicability]

[0024] The authentication system of the present invention aims to guarantee the authenticity of digital content, prevent tampering, and improve reliability, and is widely applicable in various industrial fields. In particular, its technical features such as real-time authentication, visual marker assignment, and irreversible recording using blockchain play important roles in the following areas. 1. Digital Media and News Organizations: Fake News Countermeasures (By enabling journalists to utilize one-click fact checking (1FC), the authenticity of news articles and reporting content can be quickly verified. This prevents the spread of misinformation and false information, maintaining the credibility of news organizations). Search Engines and News Aggregation (Optimizing content rankings based on information reliability scores. This suppresses the display of false information at the top of search results, enabling the distribution of high-quality information). 2. Other Platforms, Social Media, and Online Communities: One-click fact-checking (1FC) is enabled upon receipt of social media posts. Visual authentication markers (QR codes, watermarks, badges, etc.) are added to the content. For influencer marketing, 1FC authentication is applied to advertisements and review posts to visualize trustworthiness. This contributes to improving trustworthiness in consumer actions. 3. E-commerce / Digital Marketplaces: Improved Review Reliability. Authentication markers are added to buyer reviews to eliminate tampering and false reviews. Prevention of Product Information Tampering. Blockchain-based authentication information is added to product descriptions and specifications. This enables early detection of counterfeit products and fraudulent sales. 4. Government, local authorities, and public institutions: Accurate dissemination of disaster information. 1FC suppresses the spread of misinformation during emergencies. Guarantees the accuracy of evacuation advisories and disaster alerts. Transparency of policy and legal regulatory information. Prevention of tampering with legal and administrative documents and ensuring transparency through blockchain. Allows citizens to access official information with confidence. 5. Education and Academic Research: Ensuring the reliability of academic papers and research data. FC certification is applied to research papers and experimental data to prevent tampering and prove reliability. Authentication information is added to online learning materials and lecture materials to demonstrate their authenticity. This prevents the spread of misinformation and provides a high-quality learning environment. 6. Healthcare and Medical Care: Improving the reliability of medical information. Adding tamper-proof features to health information and diagnostic results provided by medical institutions. Contributing to the prevention of medical errors caused by misinformation. Preventing tampering with electronic medical records and medical data. Ensuring the authenticity of medical data through blockchain and ensuring transparency in data sharing between medical institutions. 7. Environment & Sustainability: Ensuring transparency of environmental data. Irreversible certification information is attached to companies' carbon emission data and sustainability reports. This prevents greenwashing (deceptive environmental practices). Ecosystem protection, sustainable agriculture, and fisheries are supported. FC certification is applied to environmental protection data and ethical product information. This helps avoid environmental disruption caused by misinformation. 8. Finance & Fintech: Anti-fraud and anti-money laundering measures. One-click authentication guarantees the authenticity of investment information and corporate financial reports. Improved accuracy in detecting fraudulent transactions and fraudulent activities. Enhanced transparency of credit scores. Manages individual and corporate credit scores on the blockchain. Ensures transparency and fairness in the credit evaluation process. 9. School Education: Information Literacy Education: Utilize one-click authentication to enable students to correctly evaluate information on the internet. Ensure the reliability of evaluation data such as exams. Apply tamper-proof functions to grade data and attendance information to build a highly transparent evaluation system. Guarantee the authenticity of teaching materials. Add authentication markers to digital teaching materials and online learning content to prevent the spread of misinformation. Support for academic research. Guarantee the authenticity of students' research data and reports, contributing to the deterrence of academic misconduct. [Brief explanation of the drawing]

[0025] [Figure 1]This flowchart shows the overall configuration of the user-driven fact-checking authentication system according to the present invention, and includes the following elements: 1. Digital content acquisition / generation unit: This is a functional unit that allows the user to acquire and generate digital content such as images, videos, audio, and text using a smartphone, surveillance camera, IoT device, etc. 2. Automatic acquisition of related information unit: This module automatically collects environmental information (GPS location, date and time, device ID, etc.) and user identification information associated with the acquired content. 3. Automatic feature extraction unit: This unit is responsible for extracting semantic and visual features (e.g., topic, object, keyword, etc.) of the content through image analysis, natural language processing (NLP), etc. 4. Unique identification information generation unit: This unit integrates and compresses the information obtained from 2 and 3 to generate unique identification information (e.g., encrypted ID) specific to the content. 5. One-click fact-checking (1FC) unit: This unit includes a UI and judgment logic for the user to automatically verify the truthfulness of facts with one click before submission. There are two branches below. 6. Inconsistency Mismatch → Correction Support Unit: If the input information and the identification information in 4 are inconsistent, the relevant section is highlighted, and appropriate correction candidates and means of re-verification are presented. 7. Inconsistency Match → Submission Permission Unit: Only if consistency is confirmed, the submit button is activated and submission is permitted. 8. Automatic Text Feature Extraction Unit: This unit extracts semantic features again from the user's input text and analyzes the vocabulary structure and points of content in the submitted text. 9. Unique Integrated Identification Information Generation Unit: Combines and optimizes the identification information in 4 and the features in 8 to generate integrated identification information (content authentication token). 10. Hashing Unit: Irreversibly converts the integrated identification information generated in 9 using a cryptographic hash function (e.g., SHA-2) to enable tamper detection. 11. Content Transmission and Storage Unit: This unit transmits and stores content that has been permitted to be transmitted to an external server, cloud storage, or platform. 12. Blockchain Recording Section: The hashed identification information of the 10 is recorded on an immutable distributed ledger (blockchain, etc.) to provide permanent authenticity assurance.13. Social Reputation Accumulation and Assetization Department: This department is responsible for accumulating trust actions (e.g., likes, comments, trust scores) received from users regarding the content in an immutable format and digitizing them.

Claims

1. When a user acquires or generates content using a device capable of acquiring environmental information in real time, such as a smartphone, surveillance camera, or IoT sensor, 1. An authentication system that automatically acquires environmental information related to the content, the features of the content, and user-related authentication information, and integrates these to generate unique identification information.

2. This authentication system verifies the consistency between the unique identification information and the information subsequently entered by the user in real time using a one-click fact-checking (1FC) process, and activates the submit button only if consistency is confirmed.

3. An authentication system that generates unique integrated identification information by integrating feature quantities automatically extracted from the user input text information that has been authenticated by 1FC with the unique identification information.

4. An authentication system that further guarantees the authenticity and tamper resistance of the content by hashing the unique integrated identification information using a cryptographic hash function and irreversibly recording it using tamper-proof technology (e.g., blockchain or tamper-proof data store).

2. An authentication system according to claim 1, wherein in a 1FC process, the system assigns a category classification (e.g., factual information, opinion information, warning information) to the information entered by the user, and performs the consistency evaluation for each category.

3. An authentication system according to claim 1, comprising a correction support function that, when the consistency is deemed insufficient as a result of the 1FC process, automatically detects and highlights the erroneous information and presents appropriate correction guides and re-verification means.

4. An authentication system according to claim 1, wherein the recipient of the content also has a recipient fact check (1FC) function to verify its authenticity with one click, the content can only be displayed upon successful authentication, and in the event of authentication failure, a warning is displayed and a report of suspected tampering is automatically executed.

5. An authentication system according to claim 1, comprising an adaptive authentication information management function that, even in network unstable environments such as communication failures or disasters, temporarily stores authentication information in a local environment, and automatically synchronizes it after network recovery to verify whether or not it has been tampered with.

6. An authentication system according to claim 1, which cooperates with external platforms (SNS: Instagram X, Facebook, etc., cloud services: Google Drive, Dropbox, AWS, etc.) and other external platforms, and attaches a visual authentication marker (QR code, digital stamp, or similar identification means) to the content, thereby enabling data tampering prevention and authenticity assurance even in external environments.

7. An authentication system according to claim 1, wherein the user can select one of the following modes: anonymous, nickname, or real name, and the authentication system has an adaptive user identification management function to maintain anonymity and prevent data tampering.

8. An authentication system according to claim 1, which, as a result of the 1FC process and tamper-proof recording, accumulates social evaluation information (e.g., appreciation actions such as "likes," "shares," and "positive comments") and trust scores such as "content evaluation score" and "trust index," and records and manages the evaluation information in a tamper-proof manner, thereby promoting the creation of value as a digital asset.

9. An authentication system according to claim 1, wherein, based on the results of the 1FC process and tamper-proof records, a tipping function (e.g., digital tokens, electronic money, crypto assets, etc.) is granted to the content whose authenticity has been confirmed, thereby enabling the user to provide an economic incentive to the content provider.

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