Our century is the happiest, magnificent and enchanting. There has never been such access and freedom to exchange information in the known history of mankind. If you want, say, Guryev porridge - you enter the network, make a request, and please - here are all the possible recipes for its preparation. Or you need an essay on a given topic - you can easily download it from the Internet.

In connection with the constant development of Internet technologies, a positive public opinion has formed in society about the usefulness of the Internet, and the expansion of its technical capabilities and audience has led to the emergence of many information services and resources. Searching for information via the Internet has become the prerogative of not only ordinary users, but also government officials, businessmen and commercial organizations. After all, timely receipt of information can bring considerable profit and tangible benefits. Communication with customers and consumers, affordable advertising in front of a potential audience, all this has opened up a lot of opportunities for both consumers and information distributors.
It turns out that the World Wide Web has given us endless opportunities to search for almost any information. In just a minute you can find the answer to any question of interest. And that's great. But have you noticed that the more information becomes, the more conflicting opinions are found from different sources, among which it is increasingly difficult to find the truth?

But sooner or later, every network user faces one inevitable question. Can you trust the information that is published on the Internet? It is not only possible, but necessary, to control the reliability of the information obtained as a result of the search. It would be too stupid and naive to trust everything that is written on the network, because the Internet is a free access zone, and absolutely everyone can take part in its filling.
It is impossible to invent a fact, because its reliability is strictly established. Any factual and statistical data has a source. Checking the accuracy of the facts with a high degree of probability will show what data the site relies on. The ideal would be to have references to authoritative sources such as statistical agencies or scientific institutions. If this information is not accurate or true, then the rest of the material will also not be credible.
In our time, fakes have become widespread in modern mass media. The social, political, financial consequences of the mass distribution of fakes cannot be overestimated - they are destructive to society, sowing panic, directing society to search for false enemies, inciting unrest, deceiving consumers, destabilizing the audience, creating a sense of anxiety and uncertainty. The situation is aggravated due to the speed of the spread of fakes in the media environment. Most people cannot distinguish between true and fake information and become disseminators of false information themselves. Often, fake information contains not only the publications themselves, but also comments on them.

Detection of fakes - the need to protect public consciousness from false targets - involves, first of all, checking information for viral content. Lots of people are doing background checks these days. In a number of media, entire departments of fact checkers appear (checking the text for the accuracy of the information reported. For example, the Chinese messengers WeChat and Weibo have such departments. Journalists take special courses to identify fakes. Social media and technocorporations release tools to combat fakes (WatsApp, Assembler companies Jigsaw, WeChat) The media create columns to debunk myths (Weibo regularly publishes and debunks myths in traditional media and in the blogosphere) In Russia, for example, Izvestia and even regional media do this.

And yet, misinformation continues to circulate. This is connected, on the one hand, with the unwillingness or inability to verify the information received, and on the other hand, with the need to attract the attention of readers, with the desire for sensationalism or to achieve specific political, economic and other goals.
So, the main and most difficult task today is the creation of technologies for recognizing false information. This requires the active participation of all innovative companies working in the field of increasing the effectiveness of the use of artificial intelligence (AI), which will become an obstacle to the production and distribution of fakes.

One such project is an ecosystem called Exorde, built around a core platform that provides objective assessments of trust in information based on a community and an artificial intelligence module. The idea of ​​the project is to track the dissemination of information through the entire Internet network in real time. The goal of the project is to find the source of viral information in its original form, before this information becomes viral.
Exorde is run by its DAO (Decentralized Autonomous Organization) and uses community votes and polls. Management will be decentralized among all members of the community. Collectively, they will be able to change the internal rules and parameters of the systems (rewards, limits, delays, scheduling, etc.) and will have a built-in reputation system. These mechanisms are designed to continually align the interests of the community and its governance for the benefit of Exorde.

The Exorde Labs team also announced the launch of Testnet v1.1. After all the improvements, data processing, observations and protocol setup of Exorde, anyone can become a tester.
The team has now released web scraping modules (only compatible with Windows for now. Linux and Mac coming later this summer) to participate in Testnet. At the moment, scraping (targeting an automated data collection process) is carried out on Twitter and Reddit. As we move forward, resources will expand, in which data collection will also take place. Moderation and formatting processes are also available. Moderation is a deterministic validation process to check if the URLs provided during scraping are valid (relevant, not dangerous, real data, etc.). Formatting is the process by which each block of data is broken down into sentences and parsed separately to link the information at a more detailed level.
At the next stage, it will be possible to download modules with open source code and take part in the next stage of the testnet. This phase will include more detailed web panels showing blocks of data being mined on the Exorde network, the number of free and employed workers, protocol details with additional statistics, URLs, and more. And at the last final stage, Testnet v0.2 will already be with improved staking mechanisms, rewards and dynamic protocol settings.

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Exorde approved by Coinlist, Nodes Guru, DropsEarn
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