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2018 | OriginalPaper | Chapter

Changing Perspectives: Is It Sufficient to Detect Social Bots?

Authors : Christian Grimme, Dennis Assenmacher, Lena Adam

Published in: Social Computing and Social Media. User Experience and Behavior

Publisher: Springer International Publishing

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Abstract

The identification of automated activitiy in social media, specifically the detection of social bots, has become one of the major tasks within the field of social media computation. Recently published classification algorithms and frameworks focus on the identification of single bot accounts. Within different Twitter experiments, we show that these classifiers can be bypassed by hybrid approaches, which on a first glance may motivate further research for more sophisticated techniques. However, we pose the question, whether the detection of single bot accounts is a necessary condition for identifying malicious, strategic attacks on public opinion. Or is it more productive to concentrate on detecting strategies?

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Footnotes
Literature
1.
Boshmaf, Y., Muslukhov, I., Beznosov, K., Ripeanu, M.: The socialbot network: when bots socialize for fame and money. In: Proceedings of the 27th Annual Computer Security Applications Conference, ACSAC 2011, pp. 93–102. ACM, New York (2011)
2.
Boshmaf, Y., Muslukhov, I., Beznosov, K., Ripeanu, M.: Key challenges in defending against malicious socialbots. In: Proceedings of the 5th USENIX Conference on Large-Scale Exploits and Emergent Threats, LEET 2012, pp. 1–4. USENIX Association, Berkeley (2012)
3.
Messias, J., Schmidt, L., Oliveira, R., Benevenuto, F.: You followed my bot! Transforming robots into influential users in Twitter, First Monday (2013)
4.
Maréchal, N.: Automation, algorithms, and politics — when bots tweet: toward a normative framework for bots on social networking sites (feature). Int. J. Commun. 10, 10 (2016)
5.
Ferrara, E., Varol, O., Davis, C., Menczer, F., Flammini, A.: The rise of social bots, vol. 59, pp. 96–104 (2016)CrossRef
6.
7.
8.
9.
Ohlheiser, A.: Trolls turned tay, microsoft’s fun millennial ai bot, into a genocidal maniac, March 2016
10.
Rosenbach, M.S.: Internet-Kommentare von Automaten: AfD will im Wahlkampf Meinungsroboter einsetzen, October 2016
11.
Pfaffenzeller, M.: Bundestagswahlkampf: CDU erwägt Einsatz von Chatbots, March 2017
12.
Howard, P.N., Kollanyi, B.: Bots, #StrongerIn, and #Brexit: Computational Propaganda during the UK-EU Referendum (2016)
13.
Kollanyi, B., Howard, P.N., Woolley, S.C.: Bots and automation over Twitter during the US election. Technical report Data Memo 2016.4, Project on Computational Propaganda, Oxford, UK (2016). www.​politicalbots.​org
14.
15.
Varol, O., Ferrara, E., Davis, C.A., Menczer, F., Flammini, A.: Online Human-Bot Interactions: Detection, Estimation, and Characterization (2017)
16.
Grimme, C., Preuss, M., Adam, L., Trautmann, H.: Social bots: human-like by means of human control? Big Data 5(4), 279–293 (2017)CrossRef
17.
Paradise, A., Puzis, R., Shabtai, A.: Anti-reconnaissance tools: detecting targeted socialbots. IEEE Internet Comput. 18(5), 11–19 (2014)CrossRef
18.
Yang, Z., Wilson, C., Wang, X., Gao, T., Zhao, B.Y., Dai, Y.: Uncovering social network sybils in the wild. ACM Trans. Knowl. Discov. Data 8(1), 2:1–2:29 (2014)CrossRef
19.
Clark, E.M., Williams, J.R., Galbraith, R.A., Jones, C.A., Danforth, C.M., Dodds, P.S.: Sifting robotic from organic text: a natural language approach for detecting automation on Twitter. J. Comput. Sci. 16, 1–7 (2016)CrossRef
20.
Davis, C.A., Varol, O., Ferrara, E., Flammini, A., Menczer, F.: Botornot: A system to evaluate social bots. CoRR abs/1602.00975 (2016)
21.
Hegelich, S., Janetzko, D.: Are social bots on twitter political actors? empirical evidence from a Ukrainian social botnet. In: International AAAI Conference on Web and Social Media, pp. 579–582 (2016)
22.
Echeverría, J., Zhou, S.: The ‘Star Wars’ botnet with \(>\)350k Twitter bots. CoRR abs/1701.02405 (2017)
23.
Cao, Q., Yang, X., Yu, J., Palow, C.: Uncovering large groups of active malicious accounts in online social networks. In: Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security, CCS 2014, pp. 477–488. ACM, New York (2014)
24.
Grimme, C., Assenmacher, D., Adam, L., Preuss, M., Stockdiek, J.F.H.L.: Bundestagswahl 2017: Social-Media-Angriff auf das #kanzlerduell? Technical report 2017.1, Project PropStop, Münster, Germany (2017). www.​propstop.​de
25.
Schmehl, K.: Diese geheimen Chats zeigen, wer hinter dem Meme-Angriff #Verräterduell aufs TV-Duell steckt, September 2017
26.
Varol, O., Ferrara, E., Menczer, F., Flammini, A.: Early detection of promoted campaigns on social media. EPJ Data Sci. 6(1), 13 (2017)CrossRef
Metadata
Title
Changing Perspectives: Is It Sufficient to Detect Social Bots?
Authors
Christian Grimme
Dennis Assenmacher
Lena Adam
Copyright Year
2018
Book
Social Computing and Social Media. User Experience and Behavior

Print ISBN: 978-3-319-91520-3

Electronic ISBN: 978-3-319-91521-0

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-91521-0_32