Publications: Cyber hate (online hate crime)

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Levin, B., 'The original web of hate: Revolution Muslim and American homegrown extremists' (2015), American Behavioral Scientist, 59(12), pp.1609-1630
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Lim, S.S., 'Manufacturing Hate 4.0: Can Media Studies Rise to the Challenge?' (2020), Television and New Media, 21(6), pp. 602-607
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Lumsden, K. & Morgan, H.M., 'Cyber-trolling as symbolic violence: Deconstructing gendered abuse online' (2018), In N. Lombard (Ed.), The Routledge handbook of gender and violence (pp.121-132). London: Routledge

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Madukwe, K.J. & Gao, X., 'The Thin Line Between Hate and Profanity' (2019), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11919 LNAI, pp. 344-356
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Mandl, T., Modha, S., Majumder, P., Patel, D., Dave, M., Mandlia, C. & Patel, A., 'Overview of the HASOC Track at Fire 2019: Hate Speech and Offensive Content Identification in Indo-European Language' (2019), ACM International Conference Proceeding Series, pp. 14-17
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Marcks, H. & Pawelz, J., 'From Myths of Victimhood to Fantasies of Violence: How Far-Right Narratives of Imperilment Work' (2020), Terrorism and Political Violence [online]
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Mariconti, E., Suarez-Tangil, G., Blackburn, J., De Cristofaro, E., Kourtellis, N., Leontiadis, I., Serrano, J.L. & Stringhini, G., '“You Know What to Do”: Proactive Detection of YouTube Videos Targeted by Coordinated Hate Attacks' (2019), Proceedings of the ACM on Human-Computer Interaction, 3(CSCW)
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Mathew, B., Dutt, R., Goyal, P. & Mukherjee, A., 'Spread of Hate Speech in Online Social Media' (2019), WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science, pp. 173-182
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Mathew, B., Kumar, N., Goyal, P. & Mukherjee, A., '‘Interaction Dynamics Between Hate and Counter Users on Twitter' (2020), ACM International Conference Proceeding Series, pp. 116-124
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Mathew, B., Saha, P., Tharad, H., Rajgaria, S., Singhania, P., Maity, S. K., Goyal, P., & Mukherjee, A., 'Thou Shalt Not Hate: Countering Online Hate Speech' (2019), Proceedings of the 13th International Conference on Web and Social Media, ICWSM 2019, pp. 369-380
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McIlroy-Young, R., Anderson, A., 'From “Welcome New Gabbers” to the Pittsburgh Synagogue Shooting: The Evolution of Gab' (2019), Proceedings of the 13th International Conference on Web and Social Media, ICWSM 2019, pp. 651-654
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Meddaugh, P.M. & Kay, J., 'Hate speech or “reasonable racism?” The other in Stormfront' (2009), Journal of Mass Media Ethics, 24(4), pp.251-268
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Mehta, P., Rosso, P., Majumder, P. & Mitra, M. (Eds.), 'Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC)' (2019), in Working Notes of FIRE 2019 - Forum for Information Retrieval Evaluation, Kolkata, India, December 12-15, 2019
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Meza, R., Vincze, H.O. & Mogoş, A., 'Targets of online hate speech in context: A comparative digital social science analysis of comments on Public Facebook Pages from Romania and Hungary' (2018), Intersections (Hungary), 4(4), pp. 26-50
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Mikhaeil, C.A. & Baskerville, R.L., 'An identity driven escalation of commitment to negative spillovers' (2018), Thirty eighth International Conference on Information Systems (ICIS), Seoul 2017: Transforming Society with Digital Innovation
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Mills, C.E., Joshua D. F., Chermak, S.M., Holt, T.J. & LaFree, G., 'Social Learning and Social Control in the Off- and Online Pathways to Hate Crime and Terrorist Violence' (2019), Studies in Conflict & Terrorism [online]
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Miok, K., Nguyen-Doan, D., Škrlj, B., Zaharie, D. & Robnik-Šikonja, M., 'Prediction Uncertainty Estimation for Hate Speech Classification' (2019), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11816 LNAI, pp. 286-298
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Miró-Llinares, F., Moneva, A. & Esteve, M., 'Hate is in the air! But where? Introducing an algorithm to detect hate speech in digital microenvironments' (2018), Crime Sci 7(15)
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Modha, S., Majumder, P., Mandl, T. & Mandalia, C., 'Detecting and Visualizing Hate Speech in Social Media: A Cyber Watchdog for Surveillance' (2020), Expert Systems with Applications 161, 113725
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Modi, S., 'AHTDT- Automatic Hate Text Detection Techniques in Social Media' (2018), 2018 International Conference on Circuits and Systems in Digital Enterprise Technology, ICCSDET 2018
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Moh, M., Moh, T.-S. & Khieu, B., 'No “Love” Lost: Defending Hate Speech Detection Models Against Adversaries' (2020), Proceedings of the 2020 14th International Conference on Ubiquitous Information Management and Communication, IMCOM 2020, 9001767
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Mossie, Z. & Wang, J.-H., 'Vulnerable Community Identification Using Hate Speech Detection on Social Media' (2019), Information Processing and Management [online]
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Mozafari, M., Farahbakhsh, R. & Crespi, N., 'A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media' (2020), Studies in Computational Intelligence, 881 SCI, pp. 928-940
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Müller, K. & Schwarz, C., 'Making America hate again? Twitter and hate crime under Trump' (2018), SSRN
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Nadim, M., Fladmoe, A., 'Silencing Women? Gender and Online Harassment' (2019), Social Science Computer Review [online]
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Napieralski, A., 'War of the internet users – “the hate” in internet communication' (2019), Linguistica, 58(1), pp.173-187
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Narain, S., 'Social media, violence and the law: “Objectionable material” and the changing contours of hate speech regulation in India' (2018), Culture Unbound, 10(3), pp. 388-404
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Nascimento, G., Carvalho, F., Da Cunha, A.M., Viana, C.R. & Guedes, G.P., 'Hate Speech Detection Using Brazilian Imageboards' (2019), Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, WebMedia 2019, pp. 325-328
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Nguyen, N. & Dang, T., 'SpacePhaser: Phase Space Embedding Visual Analytics' (2019), Proceedings - International Computer Software and Applications Conference, pp. 239-244
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Niemann, M., Riehle, D.M., Brunk, J. & Becker, J., 'What Is Abusive Language?: Integrating Different Views on Abusive Language for Machine Learning' (2020), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12021 LNCS, pp. 59-73
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Nugroho, K., Noersasongko, E., Purwanto, Muljono, Fanani, A.Z., Affandy, & Basuki, R.S., 'Improving Random Forest Method to Detect Hate Speech and Offensive Words' (2019), 2019 International Conference on Information and Communications Technology, ICOIACT 2019, 8938451, pp. 514-518
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Omar, A., Mahmoud, T.M., & Abd-El-Hafeez, T., 'Comparative Performance of Machine Learning and Deep Learning Algorithms for Arabic Hate Speech Detection in OSNs' (2020), Advances in Intelligent Systems and Computing, 1153 AISC, pp. 247-257
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Ombui, E., Karani, M. & Muchemi, L., 'Annotation Framework for Hate Speech Identification in Tweets: Case Study of Tweets During Kenyan Elections' (2019), 2019 IST-Africa Week Conference [online]
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Ombui, E., Muchemi, L. & Wagacha, P., 'Hate Speech Detection in Code-switched Text Messages' (2019), 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 – Proceedings, 8932845
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Ombui, E., Muchemi, L., Wagacha, P., Gichamba, A. & Karani, M., 'Leveraging Hierarchical Features for Hate Speech Identification in Short Message Texts' (2019), IEEE AFRICON Conference, 2019-September, 9133781
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Oriola, O. & Kotze, E., 'Evaluating Machine Learning Techniques for Detecting Offensive and Hate Speech in South African Tweets' (2020), IEEE Access, 8, pp. 21496-21509
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Ozalp, S., Williams, M.L., Burnap, P., Liu, H. & Mostafa, M., 'Antisemitism on Twitter: Collective Efficacy and the Role of Community Organisations in Challenging Online Hate Speech' (2020), Social Media and Society, 6(2)
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Pacheco, E. & Melhuish, 'Online hate speech: A survey on personal experiences and exposure among adult New Zealanders' (2018), Available at SSRN
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Pacheco, E. & Melhuish, N., 'Measuring Trends in Online Hate Speech Victimisation and Exposure, and Attitudes in New Zealand' (2019), Netsafe, New Zealand [online]
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Paschalides, D., Stephanidis, D., Andreou, A., Orphanou, K., Pallis, G., DIkaiakos, M.D. & Markatos, E., 'MANDOLA: A Big-Data Processing and Visualization Platform for Monitoring and Detecting Online Hate Speech' (2020), ACM Transactions on Internet Technology, 20(2), 3371276
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Pereira-Kohatsu, J.C., Quijano-Sánchez, L., Liberatore, F. & Camacho-Collados, M., 'Detecting and Monitoring Hate Speech in Twitter' (2019), Sensors (Switzerland), 19(21)
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Perry, B. & Olsson, P., 'Cyberhate: The globalization of hate' (2009), Information & Communications Technology Law, 18(2), pp.185-199
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Pitsilis, G.K., Ramampiaro, H. & Langseth, H., 'Effective hate-speech detection in Twitter data using recurrent neural networks' (2018), Appl Intell, 48(12), pp.4730-4742
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Plaza-Del-Arco, F.-M., Molina-González, M.D., Ureña-López, L.A. & Martín-Valdivia, M.T., 'Detecting Misogyny and Xenophobia in Spanish Tweets Using Language Technologies' (2020), ACM Transactions on Internet Technology, 20(2), 3369869
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Pohjonen, M., 'Horizons of hate: A comparative approach to social media hate speech' (2018), VOX-Pol Network of Excellence
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Polignano, M., Basile, P., de Gemmis, M. & Semeraro, G., 'Hate Speech Detection Through Alberto Italian Language Understanding Model' (2019), CEUR Workshop Proceedings, 2521
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Pradhan, R., Chaturvedi, A., Tripathi, A. & Sharma, D.K., 'A Review on Offensive Language Detection' (2020), Lecture Notes in Networks and Systems, 94, pp. 433-439
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Pratiwit, N.I., Budi, I. & Jiwanggi, M.A., 'Hate Speech Identification Using the Hate Codes for Indonesian Tweets' (2019), ACM International Conference Proceeding Series, pp. 128-133
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Putra Perdana, B.B.S., Irawan, B. & Setianingsih, C., 'Hate Speech Detection in Indonesian Language on Instagram Comment Section Using Deep Neural Network Classification Method' (2019), Proceedings - 2019 IEEE Asia Pacific Conference on Wireless and Mobile, APWiMob 2019, 8964197, pp. 143-149
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Qian, J., Bethke, A., Liu, Y., Belding, E. & Wang, W.Y., 'A Benchmark Dataset for Learning to Intervene in Online Hate Speech' (2019), EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference, pp. 4755-4764
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