3260 papers • 126 benchmarks • 313 datasets
Academic studies estimate that up to 15% of Twitter users are automated bot accounts [1]. The prevalence of Twitter bots coupled with the ability of some bots to give seemingly human responses has enabled these non-human accounts to garner widespread influence. Hence, detecting non-human Twitter users or automated bot accounts using machine learning techniques has become an area of interest to researchers in the last few years. [1] https://aaai.org/ocs/index.php/ICWSM/ICWSM17/paper/view/15587
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