Dear friends,
I would like to draw your attention to the new service for analyzing the veracity of information and worldwide distribution blockchain project of reliable information on the Internet CyberPravda.com. My name is Timur Sadekov and I'm the founder and CEO of this project. I believe that our project can become a very important part of Digital Democracy and web3 as a whole for facilitating civic engagement in collective decision-making, improving legitimacy, trust, transparency and accountability in governance and formation of more inclusive and representative democracies.
We have found a way to mathematically determine the reliability of information and have developed a fundamentally new algorithm that does not require the use of cryptographic certificates of states and corporations, voting tokens that can bribe any user, or artificial intelligence algorithms that are not able to understand the meaning of what a person said. The algorithm does not require external administration, review by experts or special content curators. We have neither semantics nor linguistics - all these approaches have not justified themselves. We have found a unique and very unusual combination of mathematics, psychology and game theory and have developed a purely mathematical international multilingual correlation algorithm that allows us to get a deeper scientometric assessment of the accuracy and reliability of information sources compared to the PageRank algorithm or the Hirsch index. The algorithm allows betting on different versions of events with automatic determination of the winner and allows to create a holistic structural and motivational frame in which users and news agencies can earn money by publishing reliable information, and a high reputation rating becomes a fundamentally new social elevator.
The Internet is full of fakes. Lies, fake news, fabricated documents, media hoaxes and political propaganda have overwhelmed social and traditional media. There are fakes everywhere and it's hard to find the truth. Trust and reputation are the moral basis of each information source. People need technology that will help them to analyze the veracity of information quickly and efficiently. It’s one of the most important tasks in web3. With the help of blockchains we can guarantee authenticity and cryptographic provability of data (consistency, inalterability, immutability). But how can we guarantee the validity of the data??? If X is written on the blockchain, then I can be sure that this is what was written there. But why exactly X? Who wrote this? Who gave him authority? Who audited it? What is the authority supply chain? What is the chain of supervision and enforcement if X is really not X? What is the historical reputation of the person who wrote X? Web3 projects based on cryptographic authenticity that are not confirmed by behavioral veracity, truthfulness of statements and good faith of intentions — are not viable. It is not enough to solve the blockchain trilemma. We still need to strike a balance of trust. We have found a way to solve this problem. We have invented a fundamental technique that changes all our old habits and makes all the games we played the previous 20 years meaningless.
Our method is based on the fact that any news or publications can be represented as a sequence of elementary events securely recorded and encrypted inside the blockchain: who, when, what, where, how much etc. All users who want to tell about important events should post a sequence of facts. These blocks will be so simple that it will be easy to check these facts from all sides and enable automatic translation and make the system multilingual and fully international. Of great importance is the fact that fake news never continues and always contradicts each other. And vice versa, any true fact or event will have supporters who will be interested in publishing the most detailed information about it. All this makes it possible to assign each message in the system a credibility rating, and authors — a reputation rating. The basis
Jul 31, 2023, 9:11 AM
is of credibility is the same composition of event quanta, and the basis of reputation is the constancy and stability of this composition in large socially diverse groups. We call it “the chemistry of truth” and “the DNA of reputation”.
The main know-how of the Cyberpravda is a combination of modern blockchain protocols with algorithms of mathematical analysis of logical networks and graph theory for analysis of complex logical chains consisting of hundreds of facts from many different sources allowing mathematically to evaluate the reliability rating of information on the Internet and assess the reputation of its authors depending on the correlations of facts and arguments published by various authors with evidences and refutations from other users, the authors' scientific weight, their activity, account verification, reliability of data sources and many other factors.The algorithm is completely transparent and visible to all users of the system. Everyone will know the rules of the game and will be able to check them at any time. Thousands of authors will participate in the process, espousing different points of view.
We know that factories of bots and trolls of "50 cent army" are the main risk of falsification of reputation. And we know the solution. We want to fundamentally change the existing practice of using the number of clicks as a relevancy indicator and the number of links as a quality indicator in favor of numerical criteria and scientometric indicators of accuracy and truthfulness. CyberPravda doesn’t have likes and dislikes. Any fact or fake, even if it has been confirmed by millions of bots and trolls, is stored in the CyberPravda system as only one single block. But this block is built into the logical and chronological network of all the knowledge of mankind and its reliability is determined not by the number of confirmations, but by consistency and noncontradiction with all other facts, and not in the mindset of individual author, but from the point of view of the social consensus of many users who have different opinions about current events.
It is easy to falsify one fact, but already two facts should not contradict each other. And hundreds and thousands of fakes published by bots and trolls will never represent an integral self-consistent picture of events. It's absolutely impossible. Reputation is created over the years, but it is lost in minutes and then never returned. This is the principle of our system. In the long run, the authors of credible information will accumulate a systematically increasing rating, while the ratings of fake-news makers will systematically decrease, because they will not and cannot have correlations with other points of view. The know-how of our algorithm is that even thousands of publications of thousands of bots and trolls with zero ratings will bring them 1000x1000x0=0 reputation.
The trick is that you can train a robot to imitate the logic of facts and evidence from textbooks and encyclopedias, and the rating of this robot will be exactly equal to the rating of the authors of these textbooks and encyclopedias. But it will never exceed them. It's impossible. However, even a single fact added to the system by someone who has learned something new will give that author at least one point higher rating. And consequently, the rating of real specialists will always be higher than ratings of bots and trolls.
The facts are checked and confirmed by all other users of the system. Bots can do this too, but for the reason above, their argumentation score will always be at least one point lower than the rating of real experts. The intelligence of a bot will never exceed that of a human. Moreover, it will never exceed the collective intelligence of all mankind.
All business people can understand the analogy with a long-term bank deposit. For one depositor, the percentage is slightly higher by only 1%, while for the other, it is falling slowly. But after some time, one will be rich, and the other will become a beggar. Reputation is accumulated and earned over the ye
The main know-how of the Cyberpravda is a combination of modern blockchain protocols with algorithms of mathematical analysis of logical networks and graph theory for analysis of complex logical chains consisting of hundreds of facts from many different sources allowing mathematically to evaluate the reliability rating of information on the Internet and assess the reputation of its authors depending on the correlations of facts and arguments published by various authors with evidences and refutations from other users, the authors' scientific weight, their activity, account verification, reliability of data sources and many other factors.The algorithm is completely transparent and visible to all users of the system. Everyone will know the rules of the game and will be able to check them at any time. Thousands of authors will participate in the process, espousing different points of view.
We know that factories of bots and trolls of "50 cent army" are the main risk of falsification of reputation. And we know the solution. We want to fundamentally change the existing practice of using the number of clicks as a relevancy indicator and the number of links as a quality indicator in favor of numerical criteria and scientometric indicators of accuracy and truthfulness. CyberPravda doesn’t have likes and dislikes. Any fact or fake, even if it has been confirmed by millions of bots and trolls, is stored in the CyberPravda system as only one single block. But this block is built into the logical and chronological network of all the knowledge of mankind and its reliability is determined not by the number of confirmations, but by consistency and noncontradiction with all other facts, and not in the mindset of individual author, but from the point of view of the social consensus of many users who have different opinions about current events.
It is easy to falsify one fact, but already two facts should not contradict each other. And hundreds and thousands of fakes published by bots and trolls will never represent an integral self-consistent picture of events. It's absolutely impossible. Reputation is created over the years, but it is lost in minutes and then never returned. This is the principle of our system. In the long run, the authors of credible information will accumulate a systematically increasing rating, while the ratings of fake-news makers will systematically decrease, because they will not and cannot have correlations with other points of view. The know-how of our algorithm is that even thousands of publications of thousands of bots and trolls with zero ratings will bring them 1000x1000x0=0 reputation.
The trick is that you can train a robot to imitate the logic of facts and evidence from textbooks and encyclopedias, and the rating of this robot will be exactly equal to the rating of the authors of these textbooks and encyclopedias. But it will never exceed them. It's impossible. However, even a single fact added to the system by someone who has learned something new will give that author at least one point higher rating. And consequently, the rating of real specialists will always be higher than ratings of bots and trolls.
The facts are checked and confirmed by all other users of the system. Bots can do this too, but for the reason above, their argumentation score will always be at least one point lower than the rating of real experts. The intelligence of a bot will never exceed that of a human. Moreover, it will never exceed the collective intelligence of all mankind.
All business people can understand the analogy with a long-term bank deposit. For one depositor, the percentage is slightly higher by only 1%, while for the other, it is falling slowly. But after some time, one will be rich, and the other will become a beggar. Reputation is accumulated and earned over the ye
ars. Moreover, the ratings of verified authors are obviously higher than anonymous ones, and the ratings of scientists are higher than the opinions of ordinary users.
All this should allow restoring the former importance and value of online journalism for professionals who investigated, wrote, fact-checked, double-checked information, and then had their work reviewed by experienced competitors. Thus, CyberPravda rating, of course, does not claim to be the supreme truth, but as close to it as possible, being inherently a reflection of the social consensus on any discussed topic.
On the basis of the calculated rating, a digital certificate of reliability of published information is formed, protected from spoofing and falsification by cryptographic methods as NFT (non-fungible tokens) that cannot be sold, bought, transferred or hacked by other users, but users who made a significant contribution to the knowledge database can earn money proportionately with NFTs which express their reputation rating. These ratings should become the basis for new types of web crawling algorithms and new services for ranking information in social networks, allowing to filter out fake news, falsifications, lies and irresponsible authors.
CyberPravda extended presentation: https://drive.google.com/file/d/18QwBhfNT-C770wAhgL2MihMXGvldbejA
CyberPravda Data Room Dashboard: https://docs.google.com/spreadsheets/d/16-ySPw5vy2wUIvlsV_nx64jbJpL4_Ns5HxZ0SyfAUP0
YouTube video: https://youtu.be/jFZVhp_GJtY
All this should allow restoring the former importance and value of online journalism for professionals who investigated, wrote, fact-checked, double-checked information, and then had their work reviewed by experienced competitors. Thus, CyberPravda rating, of course, does not claim to be the supreme truth, but as close to it as possible, being inherently a reflection of the social consensus on any discussed topic.
On the basis of the calculated rating, a digital certificate of reliability of published information is formed, protected from spoofing and falsification by cryptographic methods as NFT (non-fungible tokens) that cannot be sold, bought, transferred or hacked by other users, but users who made a significant contribution to the knowledge database can earn money proportionately with NFTs which express their reputation rating. These ratings should become the basis for new types of web crawling algorithms and new services for ranking information in social networks, allowing to filter out fake news, falsifications, lies and irresponsible authors.
CyberPravda extended presentation: https://drive.google.com/file/d/18QwBhfNT-C770wAhgL2MihMXGvldbejA
CyberPravda Data Room Dashboard: https://docs.google.com/spreadsheets/d/16-ySPw5vy2wUIvlsV_nx64jbJpL4_Ns5HxZ0SyfAUP0
YouTube video: https://youtu.be/jFZVhp_GJtY
Jul 31, 2023, 9:11 AM