CyberPravda Krypto-Analysen & Nutzerdaten

Durchsuche die Onchain-Aktivität und Off-Chain-Performance von Projekten

Erfahre, wie AlphaGrowth Protokolle im gesamten Blockchain-Ökosystem wachsen lässt

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TVL

alpha growth bietet die neuesten Krypto-Analysen und Nutzerdaten zur Kryptowährung CyberPravda. Unsere Live-Diagramme zu TVL und Nutzern von CyberPravda werden alle 24 Stunden aktualisiert und liefern die genauesten verfügbaren Daten. Auch unsere Social-Media-Kennzahlen sind unübertroffen, sodass du den Erfolg des Projekts CyberPravda verfolgen kannst und siehst, wie viele Nutzer sich beteiligen.

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Blockchain app for analyzing the reliability of Internet information and accumulating the reputation of authors as cryptocurrency. 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. Digital certificates of reputation and information reliability should become the basis for new types of web crawling algorithms and new services for ranking information in social networks.