Publications: 2021
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Dagar, M., Kajal, A. & Bhatia, P., 'Twitter Sentiment Analysis using Supervised Machine Learning Techniques' (2021), 2021 5th International Conference on Information Systems and Computer Networks, ISCON 2021
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Dahiya, S., Sharma, S., Sahnan, D., Goel V., Chouzenoux E., Elvira V., Majumdar A., Bandhakavi, A. & Chakraborty, T., 'Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter' (2021), Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 2732-2742
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Daly, S.E. & Reed, S.M., '“I Think Most of Society Hates Us”: A Qualitative Thematic Analysis of Interviews with Incels' (2021), Sex Roles [online]
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Damčević, K., 'Cultural texts, enemies, and taboos: Autocommunicative meaning-making surrounding the “Ready for the Homeland” Ustaša salute in Croatia' (2021), Social Semiotics [online]
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Dancygier, R., Egami, N., Jamal, A. & Rischke, R., 'Hate Crimes and Gender Imbalances: Fears over Mate Competition and Violence against Refugees' (2021), American Journal of Political Science [online]
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Dandi & Johan, M.E., 'Detecting Hate Speech on Memes using FixEfficientNet-L2' (2021), Proceedings of 2021 6th International Conference on New Media Studies, CONMEDIA 2021, pp. 17-21
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Daniels, C., DiMaggio, P., Mora, G.C. & Shepherd, H., 'Has Pandemic Threat Stoked Xenophobia? How COVID-19 Influences California Voters’ Attitudes toward Diversity and Immigration' (2021), Sociological Forum [online]
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Das, A.K., Al Asif, A., Paul, A. & Hossain, M.N., 'Bangla hate speech detection on social media using attention-based recurrent neural network' (2021), Journal of Intelligent Systems, 30(1), pp. 578-591
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Das, M., Saha, P., Dutt, R., Goyal, P., Mukherjee, A. & Mathew, B., 'You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insight' (2021), HT 2021 - Proceedings of the 32nd ACM Conference on Hypertext and Social Media, pp. 79-89
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de Castro, P.F., Ruiz, N.H. & Herráiz, E.D., 'Health staff perceptions of hate violence in Spain' (2021), International Journal of Environmental Research and Public Health, 18(14), 7591
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De Gregorio, G. & Stremlau, N., 'Information interventions and social media' (2021), Internet Policy Review, 10(2), pp. 1-25
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De la Fuente, O.P., 'Free speech and performativity. Analysis on some judicial case on hate speech and/or symbolic speech. | [Libertad de expresión y performatividad. Análisis de algunos casos judiciales sobre lenguaje del odio y/o simbólico]' (2021), Cuadernos Electronicos de Filosofia del Derecho, (45), pp. 127-156
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de la Peña Sarracén, G.L., 'Multilingual and Multimodal Hate Speech Analysis in Twitter' (2021), WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining, pp. 1109-1110
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de los Riscos, A.M. & D’Haro, L.F., 'ToxicBot: A Conversational Agent to Fight Online Hate Speech' (2021), Lecture Notes in Electrical Engineering, 704, pp. 15-30
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De Paula, A.F.M., Da Silva, R.F. & Schlicht, I.B., 'Sexism prediction in Spanish and English tweets using monolingual and multilingual BERT and ensemble models' (2021), CEUR Workshop Proceedings, 2943, pp. 356-373
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De, A., Elangovan, V., Maurya, K.K. & Desarkar, M.S., 'Coarse and Fine-Grained Hostility Detection in Hindi Posts Using Fine Tuned Multilingual Embeddings' (2021), Communications in Computer and Information Science, 1402 CCIS, pp. 201-212
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Dee, E.C., Chen, S., Santos, P.M.G., Wu, S.Z., Cheng, I. & Gomez, S.L., 'Anti-Asian American racism: A wake-up call for population-based cancer research' (2021), Cancer Epidemiology Biomarkers and Prevention, 30(8), pp. 1455-1459
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Defersha, N.B., Kekeba, K. & Kaliyaperumal, K., 'Tuning Hyperparameters of Machine Learning Methods for Afan Oromo Hate Speech Text Detection for Social Media' (2021), Proceedings of the 2021 4th International Conference on Computing and Communications Technologies, ICCCT 2021, pp. 596-604
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Denti, D. & Faggian, A., 'Where do angry birds tweet? Income inequality and online hate in Italy' (2021), Cambridge Journal of Regions, Economy and Society, 14(3), pp. 483-506
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Denti, D. & Faggian, A., 'Where do angry birds tweet? Income inequality and online hate in Italy' (2021), Cambridge Journal of Regions, Economy and Society [online]
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Deshpande, T. & Mani, N., 'An Interpretable Approach to Hateful Meme Detection' (2021), ICMI 2021 - Proceedings of the 2021 International Conference on Multimodal Interaction, pp. 723-727
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Devi, B., Shankar, V.G., Srivastava, S., Nigam, K. & Narang, L., 'Racist Tweets-based Sentiment Analysis Using Individual and Ensemble Classifiers' (2021), Lecture Notes in Networks and Systems, 179 LNNS, pp. 555-567
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Devi, M.D. & Saharia, N., 'Misogynous Text Classification Using SVM and LSTM' (2021), Communications in Computer and Information Science, 1367, pp. 336-348
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Dewani, A., Memon, M.A. & Bhatti, S., 'Cyberbullying detection: advanced preprocessing techniques & deep learning architecture for Roman Urdu data' (2021), Journal of Big Data, 8(1), 160
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Dhamija, T., Anjum & Katarya, R., 'Comparative Analysis of Machine Learning and Deep Learning Algorithms for Detection of Online Hate Speech' (2021), Lecture Notes in Mechanical Engineering, pp. 509-520
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Dhanya, L.K. & Balakrishnan, K., 'Hate speech Detection in Asian Languages: A Survey' (2021), ICCISc 2021 - 2021 International Conference on Communication, Control and Information Sciences, Proceedings, 9484922
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Dias, S.R. & Mbasalaki, P.K., 'A Study of Hate Speech in the North and South: Politicians as Communicative Agents' (2021), Language, Discourse and Society, 9(2), pp. 31-47
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DiLorenzo, M., 'Trade Layoffs and Hate in the United States' (2021), Social Science Quarterly [online]
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Domalewska, D., Kobylińska, M.G., Yen, P.H., Webb, R.K. & Thiparasuparat, N., 'On safe space in education: A Polish-Vietnamese comparative study' (2021), Journal of Human Security, 17(1), pp. 35-45
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Dombo, E.A., 'Speaking out against hate speech and actions through social work research' (2021), Journal of Religion and Spirituality in Social Work, 40(2), pp. 109-110
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Donzelli, S., 'Countering harmful speech online. (In)effective strategies and the duty to counterspeak' (2021), Phenomenology and Mind, 20, pp. 76-87
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Doude, S. & Cook, C.L., 'Sexual Minority Vulnerability and Fear of Victimization' (2021), Victims and Offenders [online]
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Doval, G.P. & Souroujon, G. (Eds.), 'Global Resurgence of the Right: Conceptual and Regional Perspectives' (2021), London: Routledge
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Dowlagar, S. & Mamidi, R., 'A Survey of Recent Neural Network Models on Code-Mixed Indian Hate Speech Data' (2021), ACM International Conference Proceeding Series, pp. 67-74
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Du, M., Chen, H. & Cheng, C., 'Predicting the Variations of Anti-Asian Attack across U.S. during the COVID-19 Pandemic with Socio-structural and Cultural Factors' (2021), Proceedings of 2021 8th IEEE International Conference on Behavioural and Social Computing, BESC 2021
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Duggan, M., 'A socio-legal analysis of gender-based victimization, misogyny and the hate crime paradigm in England and Wales' (2021), Studies in Law Politics and Society, 85, pp. 101-128
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Dunlop, J.M., Chechak, D., Hamby, W. & Holosko, M.J., 'Social Work and Technology: Using Geographic Information Systems to Leverage Community Development Responses to Hate Crimes' (2021), Journal of Technology in Human Services [online]
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Duong, P.H., Chung, C.C., Vo, L.T., Nguyen, H.T. & Ngo, D., 'Detecting Hate Speech Contents Using Embedding Models' (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13116 LNCS, pp. 138-146
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Duwairi, R., Hayajneh, A. & Quwaider, M., 'A Deep Learning Framework for Automatic Detection of Hate Speech Embedded in Arabic Tweets' (2021), Arabian Journal for Science and Engineering [online]
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Døving, C.A. & Emberland, T., 'Bringing the enemy closer to home: ‘conspiracy talk’ and the Norwegian far right' (2021), Patterns of Prejudice, 55(4), pp. 375-390
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D’Sa, A.G., Illina, I., Fohr, D., Klakow, D. & Ruiter, D., 'Exploring Conditional Language Model Based Data Augmentation Approaches for Hate Speech Classification' (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12848 LNAI, pp. 135-146
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E Silva, W.P., 'Argumentation in hate speech on Facebook: A contributive categorization to forensic linguistics and computational linguistics | [Argumentação em discursos de ódio no Facebook: Uma categorização contributiva à linguística forense e à linguística computacional]' (2021), Revista de Estudos da Linguagem, 29(4), pp. 2367-2395
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Elbahtimy, M., 'The Right to Protection from Incitement to Hatred: An Unsettled Right' (2021), Cambridge: Cambridge University Press
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Elias, C., Gonçalves, J.B., Araújo, M., Pinheiro, P., Araújo, C. & Henriques, P.R., 'NetAC, An Automatic Classifier of Online Hate Speech Comments' (2021), Advances in Intelligent Systems and Computing, 1367 AISC, pp. 494-505
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ElSherief, M., Ziems, C., Muchlinski, D., Anupindi, V., Seybolt, J., De Choudhury, M. & Yang, D., 'Latent Hatred: A Benchmark for Understanding Implicit Hate Speech' (2021), EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings, pp. 345-363
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Englmeier, K. & Mothe, J., 'Application-Oriented Approach for Detecting Cyberaggression in Social Media' (2021), Advances in Intelligent Systems and Computing, 1213 AISC, pp. 129-136
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Esposito, E. & Zollo, S.A., '“How dare you call her a pig, I know several pigs who would be upset if they knew : A multimodal critical discursive approach to online misogyny against UK MPs on YouTube' (2021), Journal of Language Aggression and Conflict, 9(1), pp. 47-75
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Evkoski, B., Ljubešić, N., Pelicon, A., Mozetič, I. & Kralj Novak, P., 'Evolution of topics and hate speech in retweet network communities' (2021), Applied Network Science, 6(1), 96
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Faggioli, G., Ferro, N., Joly, A., Maistro, M. & Piroi, F. (Eds.), 'Proceedings of the Working Notes of CLEF 2021 – Conference and Labs of the Evaluation Forum' (2021), Conference and Labs of the Evaluation Forum (CLEF 2021), Bucharest, Romania, September 21st to 24th, 2021
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Fahim, M., Gokhale, S.S. & Gokhale, S.S., 'Detecting Offensive Content on Twitter during Proud Boys Riots' (2021), Proceedings - 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, pp. 1582-1587
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