IDENTIFYING FAKE NEWS USING ARTIFICIAL INTELLIGENCE TOOLS: PROBLEMS OF LEGAL REGULATION
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Author(s): | Cherkezov S. E., Prokopenko A. V., Serpeninov O. V., |
| Number of journal: | 2(75) | Date: | June 2026 |
| Annotation: | The article examines the legal framework for identifying fake news in the context of the digital transformation of the information space and the increasing dissemination of socially significant false information through social media, messengers and other digital communication channels. Particular attention is paid to issues of liability and legal consequences of disseminating fake information. The purpose of the study is to substantiate a concept for the use of artificial intelligence in the mechanism for detecting fake news, taking into account the requirements of legality, legal certainty and procedural admissibility of the obtained results. The methodological basis of the study includes formal legal, systemic and comparative legal methods, as well as an interdisciplinary approach involving the analysis of automated text processing, machine learning, and social media monitoring, as well as cross-checking information against verified sources. The empirical basis comprises Russian regulatory legal acts, law enforcement materials, statistical and analytical data on the spread of fake news, and academic publications on disinformation and artificial intelligence. The study clarifies the key legally significant features of fake news, making it possible to distinguish it from good-faith error, incomplete factual data and value judgments. It is substantiated that artificial intelligence tools can improve the speed of information environment monitoring, preliminary classification of messages and detection of digital indicators of disinformation dissemination. The article formulates requirements for the use of automated analysis results in law enforcement activities and proposes measures to improve legislation and departmental regulations governing intelligent systems used to detect, record and restrict the dissemination of fake news. A proposal is made to use a model for automated detection of fake news, and the requirements that the system must meet in the proof process are defined. | ||
| Keywords: | fake news, disinformation, artificial intelligence, information law, judicial practice, legal regulation, digital evidence, information security, machine learning, countering disinformation, digital forensics, social media monitoring |
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| For citation: | Serpeninov O. V., Cherkezov S. E., Prokopenko A. V. Identifying fake news using artificial intelligence tools: problems of legal regulation. Biznes. Obrazovanie. Pravo = Business. Education. Law. 2026;2(75):242—247. DOI: 10.25683/ VOLBI.2026.75.1600. |
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