INFORMATION TECHNOLOGY FOR IDENTIFYING PROPAGANDA IN TIKTOK COMMENTS BASED ON NLP AND DEEP LEARNING
The article investigates the current scientific problem of automated detection of propaganda influence in short text comments of users of the TikTok social network, which operates in conditions of hybrid warfare and intensive disinformation campaigns. A hybrid model for detecting propaganda content has been developed, which integrates deep contextual representations of the text (transformer-based contextual representations) based on the BERT architecture with an additional vector of semiotic and structural features (number of emojis, repetition of symbols, use of caps lock).