New proposal for CredWeb meeting tomorrow

Dear CredWeb members,

I hope you can appreciate and support the project I would like to introduce
to you. I would like to draw your attention to the new service of
collective intelligence for analyzing the veracity of information
CyberPravda.com. My name is Timur Sadekov and I'm the founder and CEO of
this project.

We’ve developed a way to verify truth online through structured discussions
and math. A new kind of media.

I have been searching for years for a solution that would allow us to
verify the veracity of contradictory hypotheses against the information
noise created by existing technologies of falsification and disinformation,
and as a result we have found a fundamentally new way to verify facts and
fight fake content based on advanced decentralized technologies.

We have found a way to mathematically determine the veracity 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 hallucinating artificial intelligence
algorithms that learn from each other to get better and better at
falsifying all kinds of content. 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.

Our method is based on the fact that any opinion or publication can be
represented as a sequence of elementary facts 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 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.

Cyberpravda mathematically evaluates the balance of arguments used by
different authors to confirm or refute various contradictory facts to
assess their credibility, in terms of consensus in large international and
socially diverse groups. From these facts, the authors construct their
personal descriptions of the picture of events, for the veracity of which
they are held responsible by their personal reputations. An unbiased and
objective purely mathematical correlation algorithm based on graph theory
checks these narratives for mutual correspondence and coherence according
to the principle of "all with all" and finds the most reliable sequences of
facts that describe different versions of events. Different versions
compete with each other in terms of the value of the flow of meaning, and
the most reliable versions become arguments in the chain of events for
facts of higher or lower level, which loops the chain of mutual interaction
of arguments and counterarguments and creates a global hypergraph of
knowledge, in which the greatest flow of meaning flows through stable
chains of consistent scientific knowledge that best meet the principle of
falsifiability and Popper's criterion. A critical path in the sequence of
the most credible facts forms an automatically generated multilingual
article for each of the existing versions or hypotheses, which are
dynamically rearranged according to new incoming evidences and the desired
credibility levels set by readers in their personal settings ranging from
zero to 100%. As a result, users have access to multiple Wikipedia-like
articles describing competing versions or opinions, ranked by objectivity
according to their desired level of credibility.

Our solution allows us to build a fundamentally new algorithm of mutual
trust for the activities of DAO and all those who develop the DeSci area,
especially now against the background of rapid development of numerous
deepfake technologies based on artificial intelligence, which in the near
future will overwhelm all information resources with falsified content.

Brief description and essence of the project —
https://drive.google.com/file/d/18OfMG7PI3FvTIRh_PseIlNnR8ccD4bwM
CyberPravda extended presentation —
https://drive.google.com/file/d/1RmEbq4Tsx1uCCjMNjXNK4NXENtriNCGm
Article about CyberPravda and its application for creating global
cybernetic communities —
https://www.lesswrong.com/posts/YtCQmiD82tdqDkSSw/cybereconomy-the-limits-to-growth-1
Mathematical model —
https://drive.google.com/file/d/1GrcDP0LPvxJ_4E8wYLp49aZ8R76ysVUo
CyberPravda Data Room Dashboard —
https://docs.google.com/spreadsheets/d/16-ySPw5vy2wUIvlsV_nx64jbJpL4_Ns5HxZ0SyfAUP0
YouTube video — https://youtu.be/jFZVhp_GJtY
YouTube video-presentation with explanations in English —
https://youtu.be/cha7BwZ5t4U

I think if we could join our efforts together, we would solve the problem
of misinformation and finding answers to complex questions much faster,
because our Cyberpravda algorithm already evaluates the veracity of
publications, filters out unreliable statements and automatically assembles
a consensus article on any topic from the most reliable facts and arguments.

We are alumni of the web3-accelerator fractalweb3.com and members of the
supportive program Nova SBE Web3 Creators Collective in Portugal. We got a
startup visa and registered the company in Spain. Algorithm was verified by
advisers Ph.D.s in mathematics who specialize in the theory of influence
and confrontation in modern social networks. We have just completed a
prototype and are ready to demonstrate it. We are planning to have 1
million users in the first year after the start of application. We need
investments to finalize our project.

I'd be perfectly happy to tell you more and answer any questions that you
might have. Write to me in Telegram anytime @sadekovtimur

We would very much appreciate hearing from you.


Looking forward,

Timur Sadekov, CEO
CyberPravda.com