In modern conditions of the availability of information and the possibilities of its dissemination, the question of the need for fact-checking, or control over information that does not correspond to reality, is acute. People believe Internet horror stories, largely due to the spread of panic in the media and social networks, where fact-checking is practically absent.
The reasons for the emergence of fakes in social networks today are ambiguous. They are not always based on intentional lies, there are also jokes that got out of control, the author's delusion, and banal speculations of users.
Disinformation and low-quality journalism did not emerge yesterday. But the situation has worsened due to the rapid popularization of social networks and the speed of content distribution, thanks to the available Internet and smartphones. And every day we are bombarded with a flurry of conflicting news reports, whether it's the rising cost of gas and utilities, the threat of military aggression, or a new strain of the virus.
Fact-checkers expose fakes: they monitor "viral" news, check the facts and expose disinformation on their platforms. At the same time, fact-checking organizations must be transparent in order to prove that their activities do not protect the interests of a certain group. However, complicating the situation is the fact that today it is very simple and cheap to create disinformation: it is enough for a person to have a digital platform available. But it is almost impossible to distinguish misinformation created by artificial intelligence manually.
So is it possible to create an ideal algorithm that will analyze the information and filter the data itself?
Yes, and one of these systems to increase the accuracy of the checked content was created by the Exorde system. Exorde is built around a core platform that provides unbiased credibility scores for information (and virality-related analytics) based on the community, AI modules, and a token-based economy.
This platform is decentralized, open and transparent. This is where participants will work together to index the entire network, extract its unstructured information, relationships, similarities, trends, and any type of pattern in information circulating throughout the internet, regardless of platform or media.
Exorde as a knowledge network can use the unstructured content of the Internet and perform a first-of-its-kind analysis of the virality of information circulating throughout the network.
The Exorde Work Systems are the core component and will serve as the base layer for the entire ecosystem. Exorde is based on four main parameters:
Ethereum is an open source platform that allows developers to create and deploy decentralized applications on it.
Skale is an elastic sidechain network connected to the Ethereum chain, acting as an execution layer. It is a scalable and elastic environment that provides high transaction throughput.
Filecoin is a decentralized data storage system that intends to replace the expensive and inefficient servers of Google and Amazon.
NLP is an artificial intelligence module that will work with unstructured text. AI will be able to recognize objects in the text, extract sentences, facts, compare them with each other and perform similarity checks.
Written by Bimevox
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