A considerable amount of data in social networks like Twitter is not generated by human but by automatic programs (bots). Some of these bots are mimicking humans (social bots) and can hardly be identified. In this article, we analyse a social botnet involved in the Ukrainian/Russian conflict. Based on text mining and unsupervised learning, we can identify three different behaviours: mimicry, window dressing and reverberation. Weiterlesen.
Hegelich, Simon/Janetzko, Dietmar (2016): „Are social Bots on Twitter Political Actors? Empirical Evidence from Ukrainian Social Botnet“, in „Proceeding of the Tenth International AAAI Conference on Web and Social Media (ICWSM 2016), http://www.aaai.org/ocs/index.php/ICWSM/ICWSM16/paper/viewFile/13015/12793 (Letzter Aufruf am 04.12.2016)