Are Social Bots on Twitter Political Actors? Empirical Evidence from a Ukrainian Social Botnet

Bibliographic Data

ID7536020
AuthorsSimon Hegelich (0000-0002-1245-3782, Technical University of Munich, corresponding author), Dietmar Janetzko (0000-0003-2123-8424, CBS University of Applied Sciences)
Year2021
Volume10
Issue1
Pages579-582
Publication date2021-08-04
Open AccessYes
TypeARTICLE
VenueProceedings of the International AAAI Conference on Web and Social Media (JOURNAL)
Journal identifiersISSN: 2162-3449 • E-ISSN: 2334-0770
PublisherAssociation for the Advancement of Artificial Intelligence (AAAI) (PUBLISHER)
DOI10.1609/icwsm.v10i1.14764
OpenAlexW2521978756
LanguageEN
Citations received22

A considerable amount of data in social networks like Twitter is not generated by humans but by automatic programs (bots). Some of these bots are mimicking humans (socialbots) and can hardly be identified. In this article, we analyze a social botnet involved in the Ukrainian/Russian conflict. Based on text mining and unsupervised learning, we can identify three different behaviors: mimicry, window dressing, and reverberation

Biology · Botnet · Data science · Empirical evidence · Internet privacy · Mimicry · Political science · Politics · Social media · The Internet · Ukrainian · Window (computing · World Wide Web · Computer Science · Law · Misinformation and Its Impacts · Opinion Dynamics and Social Influence · Spam and Phishing Detection

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