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- W4386469304 abstract "Bot detection in social media, particularly on Twitter, has become a crucial issue in recent years due to the increasing use of bots for malicious uses such as the spreading of false information in order to manipulate public opinion. In this paper, we review the most widely available tools for bot detection and the categorization models that exist in the literature. This paper put focus on providing a concise and informative overview of state-of-the-art bot detection on Twitter. This overview can be useful for developing more effective detection methods. Overall, our paper provides valuable insights into the current state of bot detection in social media, suggesting new challenges and possible future trends and research." @default.
- W4386469304 created "2023-09-07" @default.
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- W4386469304 date "2023-01-01" @default.
- W4386469304 modified "2023-10-18" @default.
- W4386469304 title "Bot Detection in Twitter: An Overview" @default.
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- W4386469304 doi "https://doi.org/10.1007/978-3-031-42935-4_11" @default.
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