@inproceedings{ae2d0892067641a5bd7ace48955cc2dc,
title = "Bot electioneering volume: Visualizing social bot activity during elections",
abstract = "It has been widely recognized that automated bots may have a significant impact on the outcomes of national events. It is important to raise public awareness about the threat of bots on social media during these important events, such as the 2018 US midterm election. To this end, we deployed a web application to help the public explore the activities of likely bots on Twitter on a daily basis. The application, called Bot Electioneering Volume (BEV), reports on the level of likely bot activities and visualizes the topics targeted by them. With this paper we release our code base for the BEV framework, with the goal of facilitating future efforts to combat malicious bots on social media.",
keywords = "Bot activity, Elections, Twitter",
author = "Yang, \{Kai Cheng\} and Hui, \{Pik Mai\} and Filippo Menczer",
note = "Publisher Copyright: � 2019 IW3C2 (International World Wide Web Conference Committee), published under Creative Commons CC-BY-NC-ND 4.0 License.; 2019 World Wide Web Conference, WWW 2019 ; Conference date: 13-05-2019 Through 17-05-2019",
year = "2019",
month = may,
day = "13",
doi = "10.1145/3308560.3316499",
language = "English",
series = "The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019",
publisher = "Association for Computing Machinery, Inc",
pages = "214--217",
booktitle = "The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019",
}