Blockchain-based fake information diagnostic system and communication management system

Abstract

Provides a system for identifying the authenticity of information on the web. [Solution] The present invention is a fake information diagnosis system that uses blockchain to identify the authenticity of information on the web, including a function for recording citation information and its links in a blockchain, and a function for comparing new information or new links with a database of citation information and links recorded in the blockchain to identify the authenticity of the new information or links. The system further includes a function for issuing a warning if the new information or new link is false, and a function for recording fake or inaccurate information or data on the web or social networking sites in a fake site database separate from the blockchain, which is regularly updated. The system also includes a function for managing user interaction history and analyzing the scope of interactions.

Description

[Technical Field]

[0001] The present invention relates to a system that uses blockchain to verify the authenticity of information on the web and manages user interaction history. [Background technology]

[0002] There is a huge amount of information on the web, and new information is posted every day. Much of this information is fake or incorrect. In particular, on social networking systems (SNS), which are modern information-sharing platforms, there is the problem of fake news and misinformation spreading rapidly. Interesting fake news and misinformation easily attract people's attention, leading some people to believe it to be true, sometimes causing social unrest. [Prior art documents] [Non-patent literature]

[0003] [Non-Patent Document 1] https: / / www.softbank.jp / biz / blog / business / articles / 201804 / blockchain-basic / Summary of the Invention [Problem to be solved by the invention]

[0004] To prevent the rapid spread of fake news and misinformation on the web and social media, a system is needed that ensures the reliability of quoted content and allows users to easily determine the accuracy of information. In other words, a method is required to determine whether information on the web is true or not. In addition, some users of social media may find that their circle of contacts narrows, leading to social isolation. [Means for solving the problem]

[0005] The present invention provides a system and method for determining the authenticity of information (including data, etc.) on the web using blockchain technology, and specifically has the following features. (1) The present invention is a system for identifying the authenticity of information on the web (a fake information diagnostic system using blockchain) that includes a function for recording citation information and related links in a blockchain and a function for comparing new information or new links with a database of citation information and links recorded in the blockchain to identify the authenticity of the new information or links, and further includes a function for issuing a warning if the new information or new links are false. The system also includes a function for recording fake or inaccurate information and data on the web or social networking sites in a fake site database separate from the blockchain, which is regularly updated. Furthermore, the present invention is characterized by including a fake information dissemination experience database that records information on people and devices that disseminate fake information, which has a list of information disseminators who disseminate fake information or information intermediaries who spread fake information, and a function for determining the accuracy of fake information based on the list.

[0006] (2) The present invention is a system for managing interaction history and analyzing interaction range, which includes a function for recording user interaction information and data on the web or SNS in a blockchain, and a function for analyzing the user's interaction history or interaction range using the user's interaction information and data recorded in the blockchain. The system further includes a function for informing the user and issuing a warning if the user's interaction range becomes narrower than the past average, a function for sending the user a notification recommending that they join a new group or event, and a function for recording the interaction history in the blockchain each time the user makes a new friend, and a function for graphically displaying the extent of the user's social activity. [Effects of the Invention]

[0007] The present invention provides a system (a blockchain-based fake information diagnostic system) that determines whether online information (including data) is true (factual) based on information (including data) recorded in a blockchain. This allows users to instantly determine whether online information (including data) is fake, allowing them to safely and securely browse and access websites without being misled by false information. The present invention also provides a system that analyzes a user's level of interaction based on the user's interaction history recorded in a blockchain. This allows users to maintain and develop their interaction range so that it does not unconsciously or unintentionally narrow, preventing people from becoming isolated. DETAILED DESCRIPTION OF THE INVENTION

[0008] This invention provides a system that uses blockchain technology to record citations and links on the web and social media sites as an immutable history, and a means of using this blockchain to determine whether information on the web or social media sites is true or false (a fake information diagnostic system using blockchain). The system of this invention also transparently tracks the origin and evolution of each link included in content posted by users, and has the ability to automatically identify fake news sites and inaccurate information sources. Blockchain is a technology that manages information in blocks (lists). Each block contains the most recent information and is characterized by the fact that blocks are linked together like a chain. Each block contains the cryptographic hash of the previous block, a timestamp, and transaction data.

[0009] In this invention, as much information and data (including citations and links) from the web and social media as possible are incorporated into this blockchain. The information and data incorporated into the blockchain are managed and recorded by those who participate in the blockchain. The information and data recorded in a block is passed on to the next block at regular intervals, making it impossible to tamper with this information and data. Even if some blocks or nodes (devices such as computers) are fraudulent or malfunction, the information and data recorded in other blocks and nodes is normal, so information and data once incorporated into the blockchain will remain intact, and the immutability of the blockchain guarantees the authenticity of the information source. Authentic information and facts are recorded in the blockchain and remain there semi-permanently.

[0010] The system of the present invention has a fake site database separate from the blockchain that records information and data from the web and social media. Fake or inaccurate information and data from the web and social media is recorded in the fake site database, which is updated regularly and also integrates feedback from the community. Information and data that is compared with information and data recorded in the blockchain and determined to be untrue (factual) is recorded in the fake site database. Information that is confirmed to be factual and not fake is deleted from the fake site database and recorded in the blockchain. Information that is determined to be fake is also recorded in the fake site database, without the need to be determined by the blockchain. In this way, the information and data recorded on the blockchain is true, and other information and data is recorded in the fake site database and updated regularly.

[0011] In addition, information on people and devices disseminating fake information is stored in the fake site database, or in a parallel database of fake information dissemination experience. The fake information dissemination experience database records the people who intentionally spread fake information (information senders, including account information, etc.) and their information. The fake information dissemination experience database also records information on information intermediaries (information spreaders) who are likely to fall for fake information. This allows for the experience of people and information content that frequently appear in the fake site database and fake information dissemination experience database to be quantified. A higher value indicates a higher likelihood of fakeness (or an increase in the gray level). In particular, when such information senders or information intermediaries are involved in information or data on the web or social media, the gray level (the likelihood that the information is fake) increases based on the records of the information senders and information intermediaries. The system learns to determine the gray level, thereby improving the accuracy of identifying fake information. This fake information dissemination experience database is regularly updated, improving the accuracy of information senders and information intermediaries (information spreaders).

[0012] The system of the present invention can incorporate fake information from conventional site management information into a database (such as a fake site database or a fake information dissemination experience database), making it possible to instantly determine whether the information has been sourced from that site, thereby facilitating the management of fake information on social media and other platforms. The system of the present invention also records and accumulates information citing data recorded in the fake site database or fake information dissemination experience database in a separate fake site database (referred to as a quasi-fake site database). Information and data on the web can also be compared with this quasi-fake site database to determine whether the information is fake or likely to be fake information. This also makes it possible to prevent the indirect spread of fake information. In this way, the present invention can also manage information on citers and citations of fake information, thereby improving the accuracy of fake information determination.

[0013] The system of the present invention has a real-time warning function. When a user accesses information or data on the web, the information or data is compared with a database recorded in the blockchain (blockchain real database) to determine whether it is true or false. If it is determined to be false, the user is warned that it is fake or possibly fake. Alternatively, if it is determined to be false, the information or data is further compared with a fake site database to determine whether it exists in the fake site database. If it does exist, the user is warned that it is fake or possibly fake. If it does not exist, the user is warned that it is unknown whether it is fake or not. The system of the present invention also allows users to view the complete citation history of any link in the blockchain through an interface (user interface) integrated with social media platforms. The system of the present invention has enhanced real-time processing capabilities, allowing it to evaluate the reliability of news articles and social media posts the moment they are published and immediately issue a warning to the user. This enables the reliability of information to be determined quickly.

[0014] Blockchain is a distributed database that uses cryptographic mechanisms to prevent data tampering. The authenticity of information or data on the web or social media can be verified, for example, as follows: The hash value of the information or data is calculated and compared with the hash value of the corresponding information or data on the blockchain (which is true (factual)). If the hash values ​​match, the information can be said to be correct. Furthermore, if the information or data is related to a transaction, the transaction signature and input data are checked to confirm its legitimacy on the blockchain. Alternatively, if the information or data is related to an encrypted transaction, the information can be verified using the public key and signature. If the public key and signature match, the information or data can be said to be correct. Furthermore, if an algorithm is set up in advance, these operations can be verified instantly.

[0015] When a user shares a news article on a social networking site, if the article is true, the system records the article's URL on the blockchain, allowing other users to verify the link's authenticity in the future. If a user clicks on a link that may contain misinformation or fake news, the link is checked against the LINK recorded on the blockchain. If the content is not true, an immediate warning is provided, preventing the spread of misinformation. The system also incorporates a mechanism for continuously improving the model based on user feedback. This allows social networking sites and their users to improve the reliability of information and effectively combat the spread of misinformation. Furthermore, the system uses blockchain and a decentralized approach, enabling effective data collection and analysis while protecting user privacy.

[0016] Information and data on the web and social media also include images and sounds. By recording images and sounds on the blockchain, it is possible to determine whether the images and sounds on the web or social media are fake by comparing them with the images and sounds recorded on the blockchain. For example, it would be possible to determine whether a painting is a fake. For example, it would be easy to determine whether an image of a person recorded on the blockchain (which could be a photograph or drawing) differs from the image of that person on the web. Furthermore, it would be possible to distinguish images created using AI from images recorded on the blockchain. If human voices are also recorded on the blockchain, it would be possible to determine whether they were made by another person or an AI to imitate that person.

[0017] The blockchain-based system of the present invention can be applied to managing social media interaction history and analyzing the scope of interactions on social networking sites. Social networking sites are services that allow registered users to interact with each other online, and interactions between users provide a rich social experience. While some SNS users actively share information, others may experience problems due to a narrowing of the scope of their interactions. To address this issue and support users' social health, there is a need to develop a system that analyzes the scope and density of interactions and provides appropriate feedback.

[0018] The present invention is a system that uses blockchain to record user interaction history and periodically analyzes the range and intensity of interactions. It has a function to issue a warning if a user's interaction range narrows over a certain period of time and provides suggestions for expanding the user's interactions. On social networking sites and other platforms, users can freely share their activities and thoughts, and others can freely respond to and evaluate them. User interaction information and data from such social networking sites are recorded on the blockchain. Since interaction information and data recorded on the blockchain cannot be tampered with, the reliability and transparency of this interaction information and data are guaranteed. The system of the present invention has an interaction range analysis algorithm that periodically analyzes a user's interaction range based on the user's interaction information and data recorded on the blockchain and determines whether the interaction range is narrowing. If the interaction range narrows compared to the historical average, the system can notify the user and issue a further warning. If the interaction range narrows significantly, an additional warning can be issued. In other words, the system can analyze each user's interaction range, or in other words, their isolation level, and evaluate the interaction range (isolation level) by developing an algorithm based on certain evaluation criteria.

[0019] For example, if User A frequently interacts only with a specific group of friends and rarely interacts with other users, the system of the present invention can analyze this information and send User A a notification recommending that he or she join a new group or event. It can also request other users to invite User A to join, promoting User A's physical presence and interactions and preventing User A from becoming lonely or isolated (including physical and social isolation). Each time a user makes a new friend, the interaction history is recorded on the blockchain, and a function can be provided to graphically display the extent of the user's social activity. This system of the present invention allows users to better understand the health of their social activities and modify their behavior as necessary. This technology can also be a powerful tool for social networking platforms to improve user experience. The system for managing social media interaction history and analyzing the scope of interactions of the present invention can also use a private blockchain. Many users who participate in this system do not want their interaction information to be made public. For such users, a private blockchain can be used to keep their information private within the blockchain. Thus, the present invention includes a function for recording a user's interaction history on the blockchain, periodically analyzing the scope of their interactions, and issuing warnings.

[0020] The present invention provides a fake information diagnostic system using blockchain that determines whether online information (including data) is true (factual) based on information (including data) recorded in the blockchain. This allows for instantaneous determination of whether online information (including data) is fake, allowing users to browse and access websites safely and securely without being misled by false information. The present invention also provides a system that analyzes the degree of user interaction based on the user's interaction history recorded in the blockchain. This allows for maintaining and expanding the scope of interaction so that it does not unconsciously or unintentionally narrow. It goes without saying that, in this specification, the content described and explained in certain parts of the specification can be consistently applied to other parts not described, and that the content can also be applied to those other parts. Furthermore, the above-described embodiment is merely an example, and various modifications can be made within the scope of the present invention, and the scope of the present invention is not limited to the above-described embodiment.

Claims

1. The ability to record citations and related links on the blockchain; and A function of comparing new information or new links with a database of citations and links recorded on the blockchain to identify the authenticity of the new information or links. A fake information diagnostic system that uses blockchain to identify the authenticity of information on the web, including:

2. The fake information diagnosis system using blockchain as described in claim 1, further comprising a function to issue a warning if new information or new links are false.

3. A fake information diagnostic system using blockchain as described in claim 1 or 2, further comprising a function to record fake or inaccurate information and data on the web or SNS in a fake site database separate from the blockchain.

4. The fake information diagnosis system using blockchain as described in claim 3, characterized in that the fake site database is updated regularly.

5. A fake information diagnosis system using blockchain as described in claim 1 or 2, characterized in that it includes a fake information dissemination experience database in which information on people and devices that disseminate fake information is recorded, the fake information dissemination experience database having a list of information senders who disseminate fake information or information intermediaries who spread fake information, and having a function to determine the accuracy of fake information based on the list.

6. The function of recording user interaction information and data on the web or SNS on the blockchain, and A function to manage user interaction history or analyze the scope of interaction using user interaction information and data recorded on the blockchain A system that manages interaction history and analyzes the scope of interactions.

7. The system for managing interaction history and analyzing interaction range as described in claim 6 further includes a function for notifying the user and issuing a warning if the user's interaction range becomes narrower than the past average.

8. 8. The system for managing interaction history and analyzing interaction range according to claim 6 or 7, further comprising a function of sending a notification to the user recommending participation in a new group or event.

9. The system for managing interaction history and analyzing the range of interactions described in claim 6 or 7, characterized in that each time a user makes a new friend, the interaction history is recorded in the blockchain and the system has the function of graphically displaying the extent of the user's social activities.