publication . Preprint . 2018

Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media

ElSherief, Mai; Kulkarni, Vivek; Nguyen, Dana; Wang, William Yang; Belding, Elizabeth;
Open Access English
  • Published: 11 Apr 2018
Abstract
Comment: 10 pages, 7 figures. ICWSM-2018 accepted
Subjects
free text keywords: Computer Science - Computation and Language, Computer Science - Social and Information Networks
Download from
50 references, page 1 of 4

[Baker, Fillmore, and Lowe 1998] Baker, C. F.; Fillmore, C. J.; and Lowe, J. B. 1998. The Berkeley Framenet Project. In the 36th Annual Meeting of the ACL and 17th International Conference on Computational Linguistics.

[Burnap and Williams 2015] Burnap, P., and Williams, M. L. 2015.

Policy & Internet 7(2):223-242.

[Burnap et al. 2015] Burnap, P.; Rana, O. F.; Avis, N.; Williams, M.; Housley, W.; Edwards, A.; Morgan, J.; and Sloan, L. 2015. Detecting Tension in Online Communities with Computational Twitter Analysis. Technological Forecasting and Social Change 95:96- 108.

[Chen et al. 2010] Chen, D.; Schneider, N.; Das, D.; and Smith, N. A. 2010. Semafor: Frame Argument Resolution with Log-linear Models. In Proceedings of the 5th International Workshop on Semantic Evaluation.

[Cheng et al. 2017] Cheng, J.; Bernstein, M.; Danescu-NiculescuMizil, C.; and Leskovec, J. 2017. Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions. In CSCW'17. [OpenAIRE]

[Cikara, Botvinick, and Fiske 2011] Cikara, M.; Botvinick, M. M.; and Fiske, S. T. 2011. Us versus them: Social identity shapes neural responses to intergroup competition and harm. Psychological Science 22(3):306-313.

[Citron and Norton 2011] Citron, D. K., and Norton, H. 2011. Intermediaries and hate speech: Fostering digital citizenship for our information age. Boston University Law Review 91:1435.

[CNN Tech 2016] CNN Tech. 2016. Twitter Launches New Tools to Fight Harassment. https://goo.gl/AbYbMv.

[Crump 2011] Crump, J. 2011. What are the Police doing on Twitter? Social Media, the Police and the Public. Policy & Internet 3(4):1-27.

[Davidson et al. 2017] Davidson, T.; Warmsley, D.; Macy, M.; and Weber, I. 2017. Automated hate speech detection and the problem of offensive language. In ICWSM'17. [OpenAIRE]

[Dinakar et al. 2012] Dinakar, K.; Jones, B.; Havasi, C.; Lieberman, H.; and Picard, R. 2012. Common Sense Reasoning for Detection, Prevention, and Mitigation of Cyberbullying. ACM Transactions on Interactive Intelligent Systems (TiiS) 2(3):18.

[Djuric et al. 2015] Djuric, N.; Zhou, J.; Morris, R.; Grbovic, M.; Radosavljevic, V.; and Bhamidipati, N. 2015. Hate Speech Detection with Comment Embeddings. In WWW'15.

[Eisenstein, Ahmed, and Xing 2011] Eisenstein, J.; Ahmed, A.; and Xing, E. P. 2011. Sparse Additive Generative Models of Text. In ICML'11.

[Facebook 2016] Facebook. 2016. Controversial, Harmful and Hateful Speech on Facebook. https://goo.gl/TWAHdr.

50 references, page 1 of 4
Abstract
Comment: 10 pages, 7 figures. ICWSM-2018 accepted
Subjects
free text keywords: Computer Science - Computation and Language, Computer Science - Social and Information Networks
Download from
50 references, page 1 of 4

[Baker, Fillmore, and Lowe 1998] Baker, C. F.; Fillmore, C. J.; and Lowe, J. B. 1998. The Berkeley Framenet Project. In the 36th Annual Meeting of the ACL and 17th International Conference on Computational Linguistics.

[Burnap and Williams 2015] Burnap, P., and Williams, M. L. 2015.

Policy & Internet 7(2):223-242.

[Burnap et al. 2015] Burnap, P.; Rana, O. F.; Avis, N.; Williams, M.; Housley, W.; Edwards, A.; Morgan, J.; and Sloan, L. 2015. Detecting Tension in Online Communities with Computational Twitter Analysis. Technological Forecasting and Social Change 95:96- 108.

[Chen et al. 2010] Chen, D.; Schneider, N.; Das, D.; and Smith, N. A. 2010. Semafor: Frame Argument Resolution with Log-linear Models. In Proceedings of the 5th International Workshop on Semantic Evaluation.

[Cheng et al. 2017] Cheng, J.; Bernstein, M.; Danescu-NiculescuMizil, C.; and Leskovec, J. 2017. Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions. In CSCW'17. [OpenAIRE]

[Cikara, Botvinick, and Fiske 2011] Cikara, M.; Botvinick, M. M.; and Fiske, S. T. 2011. Us versus them: Social identity shapes neural responses to intergroup competition and harm. Psychological Science 22(3):306-313.

[Citron and Norton 2011] Citron, D. K., and Norton, H. 2011. Intermediaries and hate speech: Fostering digital citizenship for our information age. Boston University Law Review 91:1435.

[CNN Tech 2016] CNN Tech. 2016. Twitter Launches New Tools to Fight Harassment. https://goo.gl/AbYbMv.

[Crump 2011] Crump, J. 2011. What are the Police doing on Twitter? Social Media, the Police and the Public. Policy & Internet 3(4):1-27.

[Davidson et al. 2017] Davidson, T.; Warmsley, D.; Macy, M.; and Weber, I. 2017. Automated hate speech detection and the problem of offensive language. In ICWSM'17. [OpenAIRE]

[Dinakar et al. 2012] Dinakar, K.; Jones, B.; Havasi, C.; Lieberman, H.; and Picard, R. 2012. Common Sense Reasoning for Detection, Prevention, and Mitigation of Cyberbullying. ACM Transactions on Interactive Intelligent Systems (TiiS) 2(3):18.

[Djuric et al. 2015] Djuric, N.; Zhou, J.; Morris, R.; Grbovic, M.; Radosavljevic, V.; and Bhamidipati, N. 2015. Hate Speech Detection with Comment Embeddings. In WWW'15.

[Eisenstein, Ahmed, and Xing 2011] Eisenstein, J.; Ahmed, A.; and Xing, E. P. 2011. Sparse Additive Generative Models of Text. In ICML'11.

[Facebook 2016] Facebook. 2016. Controversial, Harmful and Hateful Speech on Facebook. https://goo.gl/TWAHdr.

50 references, page 1 of 4
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