Bot Datasets on Twitter: Analysis and Challenges

The reach and influence of social networks over modern society its functioning have created new challenges opportunities to prevent the misuse or tampering such powerful tools interaction. Twitter, a networking service that specializes in online news information exchange involving billions users world-wide, has been infested by bots for several years. In this paper, we analyze both public private databases from literature bot detection on Twitter. We summarize their advantages, disadvantages, differences, recommending which is more suitable work with depending necessities researcher. From analysis, present five distinct behaviors automated accounts exhibited across all datasets analyzed these databases. measure level presence each dataset using radar chart visual comparison. Finally, identify four researchers Twitter face when literature.