Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media
- Published: 11 Apr 2018
[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.
[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.
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