Decision-Making Support in Identifying Extremist Content on the Information and Telecommunications Network of the Internet
A L Serobabova, Liudmila A. Denisova · 2023
The issues of automatic detection of extremist content on the Internet are considered. A conceptual model of decision support for extremist content detection based on machine learning is presented. An algorithm for detecting signs of extremism based on a probabilistic thematic model is proposed. It allows to determine the unlawful content of texts by the set of words included in them (based on the probability of categorizing the words as extremist content). Studies confirming the effectiveness of the proposed algorithm in identifying extremist themes in texts have been conducted.