Exorde: We need in hi-tech of fact-checking
Not everything that is published in scientific journals is true. Even such large and reputable publications as The Lancet, Science and Nature sometimes publish articles by scientific scammers. When it turns out that falsified data were used in the studies, errors or outright plagiarism are encountered, the journal announces the retraction of the article and publishes a retraction. Investigations are often initiated by colleagues who carry out similar scientific activities and closely follow the news in their field. Often, scientists expose the authors of sensationalism after a series of unsuccessful experiments, during which they try to double-check the results and are convinced that this is impossible.
While writing a scientific work, there are many pitfalls on the way of the author. Near-scientific information presented as scientific work, not confirmed by practical research experiments, manipulation of facts, as well as outright lies — such information regularly creeps not only into journalism, but also into the scientific environment. The use of such information in research leads to the collapse of the reputation of the researcher. This, in turn, entails sad results: an undefended thesis, a failed dissertation, a retracted article, a loss of trust and authority among colleagues.
What is fact checking?
The term “fact-checking” came to the scientific world from journalism and in literal translation sounds like “fact checking”. This concept is connected with the presence of viral information, with information noise that does not stop on the Internet. Just like journalists, researchers have to check information regularly before using it in their work.
Why do you need fact-checking?
In journalism, fact-checking is aimed at protecting author’s publications from 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;
• verification of research results in conditions of a reproducibility crisis — 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 facts, distort them in such a way as to push readers to the right decision.
Verification of the information received is applied at all stages of the preparation of the study. Otherwise, due to errors that were not noticed at the very beginning, the author will have to rewrite at least a few sections.
Before starting to write the paper itself, the researcher prepares key reference material — papers that he will subsequently use to write his article or dissertations. Verification of information is, first of all, the responsibility, interest and indifference of the author to his work. On the one hand, Internet communications are scientific databases, publications on social networks, electronic libraries, communication with scientists from all over the world, all this can significantly speed up and improve scientific work. But on the other hand, a large amount of information does not mean its quality. A large amount of unconfirmed data forces modern scientists to be able to filter information, analyze and constantly double-check data.
And in such a huge flow of information, Exorde can come to our aid. The Exorde system was created to increase the accuracy of the content being checked. 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.
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