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While online communities have become increasingly important over the years, the moderation of user-generated content is still performed mostly manually.
Harary, F.: Graph Theory. Addison-Wesley (1969)
1969
Earlier work this paper cites.
Freeman, L.C.: Centrality in social networks i: Conceptual clarification. Social Networks 1(3), 215–239 (1978)
1978
Earlier work this paper cites.
Seidman, S.B.: Network structure and minimum degree. Social Networks 5(3), 269–287 (1983)
1983
Earlier work this paper cites.
Bonacich, P.F.: Power and centrality: A family of measures. American Journal of Sociology 92, 1170–1182 (1987)
1987
Earlier work this paper cites.
Spertus, E.: Smokey: Automatic recognition of hostile messages. In: 14th National Conference on Artificial Intelligence and 9th Conference on Innovative Applications of Artificial Intelligence. pp. 1058–1065 (1997)
1997
Earlier work this paper cites.
Brin, S., Page, L.E.: The anatomy of a large-scale hypertextual web search engine. Computer Networks and ISDN Systems 30, 107–117 (1998)
1998
Earlier work this paper cites.
Kleinberg, J.: Authoritative sources in a hyperlinked environment. Journal of the Association for Computing Machinery 46(5), 604–632 (1999)
1999
Earlier work this paper cites.
Newman, M.E.J.: Assortative mixing in networks. Physical Review Letters 89(20), 208701 (2002)
2002
Cited alongside, same era.
Mutton, P.: Inferring and visualizing social networks on internet relay chat. In: 8th International Conference on Information Visualisation. pp. 35–43 (2004)
2004
Cited alongside, same era.
Csardi, G., Nepusz, T.: The igraph software package for complex network research. InterJournal Complex Systems 1695(5), 1–9 (2006)
2006
Cited alongside, same era.
Yin, D., Xue, Z., Hong, L., Davison, B.D., Kontostathis, A., Edwards, L.: Detection of harassment on web 2.0. In: WWW Workshop: Content Analysis in the WEB 2.0 (2009)
2009
Cited alongside, same era.
Dinakar, K., Reichart, R., Lieberman, H.: Modeling the detection of textual cyberbullying. The Social Mobile Web 11, 02 (2011)
2011
Cited alongside, same era.
Sinha, T., Rajasingh, I.: Investigating substructures in goal oriented online communities: Case study of ubuntu irc. In: IEEE International Advance Computing Conference. pp. 916–922 (2014)
2014
Later among the works it cites.
Tavassoli, S., Moessner, M., Zweig, K.A.: Constructing social networks from semi-structured chat-log data. In: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. pp. 146–149 (2014)
2014
Later among the works it cites.
Balci, K., Salah, A.A.: Automatic analysis and identification of verbal aggression and abusive behaviors for online social games. Computers in Human Behavior 53, 517–526 (2015)
2015
Later among the works it cites.
Chavan, V.S., Shylaja, S.S.: Machine learning approach for detection of cyber-aggressive comments by peers on social media network. In: IEEE ICACCI. pp. 2354–2358 (2015)
2015
Later among the works it cites.
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Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., et al.: Scikit-learn: Machine learning in python. Journal of Machine Learning Research 12, 2825–2830 (2011)
2011
Cited alongside, same era.
Chen, Y., Zhou, Y., Zhu, S., Xu, H.: Detecting offensive language in social media to protect adolescent online safety. In: PASSAT/SocialCom. pp. 71–80 (2012)
2012
Cited alongside, same era.
2015
Later among the works it cites.
2017
Closest in time.
Papegnies, E., Labatut, V., Dufour, R., Linares, G.: Impact of content features for automatic online abuse detection. In: International Conference on Computational Linguistics and Intelligent Text Processing (2017)
2017
Closest in time.