METHODOLOGY FOR ANALYZING THE RELIABILITY OF INFORMATION ON THE INTERNET
DOI:
https://doi.org/10.5281/zenodo.17534427Keywords:
disinformation, unreliable information, fake detection, structural coherence, Shannon entropy, information system, text analysis, information verification, evaluation algorithm, academic integrity, peer review, internet content.Abstract
The work is devoted to the methods of recognizing false and unreliable information on the Internet by its formal assessment with its distribution according to the indicators of structural coherence, banality of information, the degree of its randomness and the associated entropy of the information system, as a formalized indicator for its objectivity. The proposed three criteria in comparison with Shannon’s entropy for textual information allow, with the help of the developed algorithm, to assess the level of reliability or falsity of the information provided in the first approximation. Using examples of real textual information extracted from the Internet, the possibilities and effectiveness of the proposed methodology for identifying unreliable information are shown. Such methods can be useful, in particular, in scientific research, in reviewing scientific articles and books, in assessing social information for its objectivity.
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