Are social bots on Twitter political actors? Empirical evidence from a Ukrainian social botnet

Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016

Volumn , Issue , 2016, Pages 579-582

  Hegelich, Simon ^a   Janetzko, Dietmar ^b  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b Université libre de Bruxelles   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING;

AUTOMATIC PROGRAMS; SOCIAL BOTS; TEXT MINING;

SOCIAL NETWORKING (ONLINE);

EID: 84979497443     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

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3. Hartigan, J. A., and Wong, M. A. 1979. Algorithm AS 136: A k-means clustering algorithm. Journal of the Royal Statistical Society. Series C (AppliedStatistics) 28 (1): 100-108.
4. Hegelich, S., Fraune, C, and Knollmann, D. 2015. Point Predictions and the Punctuated Equilibrium Theory: A Data Mining Approach-U.S. Nuclear Policy as Proof of Concept. Policy Studies Journal A3 (2): 228-256.
5. Janetzko, D. 2014. Predictive modeling in turbulent times-What Twitter reveals about the EUR/USD exchange rate. NETNOMICS 15 (2): 69-106.