Social network profiles today are a unique source of information about people, their interests and aspirations, and social connections. Many companies seek to analyze the vast amount of social network data in order to take advantage of this social phenomenon. Social media data analysis is one of the hottest research topics in data mining. The application of effective data mining techniques allows users to find valuable, accurate and useful data from social media data.
To analyze the virtual world, it is necessary to develop new technologies and approaches to the analysis of not only semantics, but also the data context. Most of the information is presented in textual form in natural language. This complicates its processing and requires the involvement of AI, the development of new effective software systems for extracting facts from unstructured arrays of textual information, classification and clustering of information aimed at both analyzing the data itself and identifying the sources of disseminated information.
Big data is needed to analyze all relevant factors and make the right decision. It turns out that information in our time has become one of the main products. Like any product, information has consumers who need it, and therefore has certain consumer qualities, and also has its owners (owners). From the point of view of the consumer, the quality of the information used will provide an additional economic or socio-moral effect. And here one important aspect is the reliability of the information received, where it is necessary to highlight the accuracy and truth of the data. Error-freeness refers to the property of data not to have hidden random errors. In the analysis of the truth of the data, deliberate distortions of the data by the person who is the source of information are considered.
And it turns out that if deliberately distorted data creep into the analysis of a huge amount of data, then on the basis of such data we can get an erroneous result, which can negatively affect the future.
And this is where the Exorde protocol can help. 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.
Exorde uses an open source decentralized protocol to collect data from around the world. The project is based on the idea of decentralization, which guarantees data neutrality and transparency. Exorde aims to extract and sell brand/cryptocurrency/share reputation scores based on what people say on social media.
Exorde receives input URLs for public information such as social media posts, press articles, photos, and videos. These URLs are then processed in a decentralized data pipeline that produces output graphs linking all similar data and facts. The analyzed content is stored in an archive that has open access, so any person can access the original information at any time and from anywhere in the world.
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.
I hope that Exorde will give us the tools to help identify and prevent various types of mass consciousness manipulation. After all, making changes to the neural network and finding these changes is much easier than changing human thinking. But it may also happen that perhaps the only way to stop the flow of disinformation is to take all the news critically.
Written by Moonvoyager
@ExordeLabs @ExordeIndex #web3 #protocol #exorde #testnet $EXD
Exorde approved by Coinlist, Nodes Guru, DropsEarn
Discord: https://discord.gg/C39qTfqgqN
