title: ÐÐ´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð±Ð¾ÑÐ¾Ð² Ð² ÑÐ¾ÑÐ¸Ð°Ð»ÑÐ½Ð¾Ð¹ ÑÐµÑÐ¸ ÐÐÐ¾Ð½ÑÐ°ÐºÑÐµ Ð¿ÑÑÐµÐ¼ ÑÐ³Ð»ÑÐ±Ð»ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° ÐºÐ¾Ð¼Ð¼ÐµÐ½ÑÐ°ÑÐ¸ÐµÐ²
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° ÑÐ¿ÐµÑÐ¸Ð°Ð»Ð¸ÑÑÐ°
titleType: Subtitle
title: Identification of bots in the Vkontakte social network through in-depth analysis of comments
Creators: name: ÐÐ½Ð°Ð½Ð¼Ð°ÑÐ¾Ð², Ð¥Ð°Ð´Ð¶Ð¸Ð¼ÑÑÐ°Ð´
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2025
Subjects: Ð²ÐµÐ±-Ð±Ð¾ÑÑ
Ð²ÐºÐ¾Ð½ÑÐ°ÐºÑÐµ
Ð°Ð½Ð°Ð»Ð¸Ð· ÐºÐ¾Ð¼Ð¼ÐµÐ½ÑÐ°ÑÐ¸ÐµÐ²
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ
web-bots
vkontakte
comment analysis
machine learning
classification

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description: The aim of the work is to determine the best machine learning models for identifying web bots in the VKontakte social network based on the analysis of comments. The subject of the study is a technique for fixing social bots using machine learning methods to analyze user comments on the VKontakte social network. Tasks to be solved during the research: 1. To conduct a comparative analysis of machine learning methods for identifying bots. 2. Analyze the comments and provide a list of signs by which accounts can be classified. 3. Collect the source texts and create a tool for processing them. 4. Build various models with parameters for classifying accounts. 5. Evaluate the effectiveness of the developed models based on the collected data and choose the most appropriate model for solving a particular problem. In the course of the work, the applied methods for detecting web bots in social networks were investigated. The task of collecting and forming a data set was solved. As a result of the work, a software component was developed for data processing, training models and evaluating their effectiveness. The most effective machine learning model for this task has been determined. The results obtained can be used for further development of automatic moderation systems in social networks.