Abstract：Social bots in microblog platforms significantly impact information dissemination and public opinion stance. This paper reviews the recent researches on social bot account detection in microblogs, especially Twitter and Weibo. The popular methods for data acquisition and feature extraction are reviewed. Various bot detection algorithms are summarized and evaluated, including approaches based on statistical methods, classical machine learning methods, and deep learning methods. Finally, some suggestions for future research are anticipated.
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