TY - GEN
T1 - Are social bots on Twitter political actors? Empirical evidence from a Ukrainian social botnet
AU - Hegelich, Simon
AU - Janetzko, Dietmar
N1 - Publisher Copyright:
© Copyright 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2016
Y1 - 2016
N2 - 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 (social-bots) 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.
AB - 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 (social-bots) 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.
UR - http://www.scopus.com/inward/record.url?scp=84979497443&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84979497443
T3 - Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016
SP - 579
EP - 582
BT - Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016
PB - AAAI Press
T2 - 10th International Conference on Web and Social Media, ICWSM 2016
Y2 - 17 May 2016 through 20 May 2016
ER -