The criteria for reliable information are: the absence of distorted or false data, the low probability of erroneous use of information units (numbers, letters, bits, symbols). The reliability of information is assessed on scales, as well as the source of this information (most often reliable, completely reliable, fairly reliable, and so on up to absolutely unreliable and one whose status is not defined).
What does the reliability of information mean? The reliability of information is a characteristic of its undistortedness. The reliability of information is affected by both the reliability of the data and the adequacy of the methods used to obtain it. Inaccurate information may mean that the data has been deliberately prepared as false. The more input data, the higher the reliability of the result. From this it follows that the reliability of information is very dependent on its adequacy, objectivity and completeness.
The property of the reliability of information is very important, especially when these data are used to make decisions. Therefore, unreliable information promises to make decisions that have negative consequences in terms of the economy, social system and political situation.
Since reliable information is only that which corresponds to reality, it is important to be able to check the received data directly for their reliability. This way you can avoid the trap.
Therefore, the detection of viral information - the need to protect the public consciousness from false goals - involves, first of all, checking the information for false content. Lots of people are doing background checks these days. Why you need fact-checking:
In journalism, fact-checking is aimed at protecting copyright publications from newspaper gossip, artificial elevation of “degree” or misinformation. In the scientific community, fact-checking is directed in a slightly different direction:
to eliminate near-scientific information presented as reliable facts;
to check the results of a study in a crisis of reproducibility - this, unfortunately, is a fairly common phenomenon when articles with unverified research results are published;
against the use of distorted data (factoids);
against the manipulation of facts, that is, the deliberate arrangement of facts in such a way as to lead the reader to a conclusion favorable to the author;
against the manipulation of public opinion, that is, the desire to embellish the facts, distort them in such a way as to push readers to the desired decision.
The development of content analysis technologies, research in the field of data analysis creates great opportunities for researchers in this field. Therefore, 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.
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.
And the Exorde Labs team announced the start of Testnet. After all the improvements, data processing, observations and protocol setup of Exorde, anyone can become a tester.
Written by Moonvoyager
@ExordeLabs #web3 #protocol #exorde #testnet $EXD
Exorde approved by Coinlist, Nodes Guru, DropsEarn
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