Filtering information distributed in social networks and identifying threats

Authors

  • Ibrokhimov Nodirbek Ikromjonovich Fergana State Technical University
  • Isroilov Sanjarbek Ismailjon oglu Fergana State Technical University

Keywords:

artificial intelligence, YouTube API, information security, inappropriate content, threatening comments, comment filtering, disinformation, incitement to hatred, automated analysis, Python, NLP, Perspective API

Abstract

The article discusses the possibilities of using artificial intelligence technologies to identify and filter content containing obscene language or threats distributed on social networks, in particular on the YouTube platform. It considers the extraction of comments through the YouTube API, and then the analysis and practical application of these comments using artificial intelligence. The significance, limitations and proposed solutions of this approach to ensuring information security in our republic are substantiated.

References

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Published

2025-05-24

How to Cite

Ibrokhimov, N., & Isroilov, S. (2025). Filtering information distributed in social networks and identifying threats. Research and Implementation, 3(5), 221–225. Retrieved from https://rai-journal.uz/index.php/rai/article/view/1403

Issue

Section

Статьи

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