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2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (2018)
Barcelona, Spain
Aug. 28, 2018 to Aug. 31, 2018
ISSN: 2473-9928
ISBN: 978-1-5386-6052-2
pp: 570-571
Zachary K. Stine , University of Arkansas at Little Rock, Department of Information Science, Little Rock, United States
Tuja Khaund , University of Arkansas at Little Rock, Department of Information Science, Little Rock, United States
Nitin Agarwal , University of Arkansas at Little Rock, Department of Information Science, Little Rock, United States
ABSTRACT
Automated social bots are reported to account for a large sum of activity on social media sites such as Twitter. In this short paper, we study the information-foraging behaviors of social media users including bots. We present here a preliminary investigation which compares the behaviors of a set of suspected bots with non-automated accounts. To do so, we measure the distance between word distributions on a daily basis. We posit that this methodology provides a quantitative measure of behavior, which allows for more rigorous descriptions of bot behaviors that move beyond the assumption of bots as a monolithic category.
INDEX TERMS
social bots, information foraging, social media, information theory
CITATION

Z. K. Stine, T. Khaund and N. Agarwal, "Measuring the Information-Foraging Behaviors of Social Bots Through Word Usage," 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, 2018, pp. 570-571.
doi:10.1109/ASONAM.2018.8508811
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