Publications: Hate speech
V
van der Puil, R., Spahn, A. & Royakkers, L., 'Which Democratic Way to Go? Using Democracy Theories in Social Media Design' (2023), International Journal of Technoethics, 14(1)
View the publication online
Van Houtven, E., Acquah, S.B., Obermaier, M., Saleem, M. & Schmuck, D., '‘You Got My Back?’ Severity and Counter-Speech in Online Hate Speech Toward Minority Groups' (2024), Media Psychology [online]
View the publication online
Van Schenck, R., 'Deplatforming “the people”: media populism, racial capitalism, and the regulation of online reactionary networks' (2023), Media, Culture and Society [online]
View the publication online
van Spanje, J. & Azrout, R., 'The plight of the discredited: Electoral effects of stigmatizing and prosecuting an anti-immigration politician' (2021), Acta Politica [online]
View the publication online
Vanetik, N. & Mimoun, E., 'Detection of Racist Language in French Tweets' (2022), Information (Switzerland), 13(7), 318
View the publication online
Vara-Miguel, A., Martínez-Costa, M.P., Sánchez-García, P. & Novoa-Jaso, M.F., 'Critical Dimensions in the Proliferation and Mitigation of Disinformation: A Delphi Study | Dimensiones críticas en la proliferación y mitigación de la desinformación: un estudio Delphi' (2024), Estudios Sobre el Mensaje Periodistico, 30(2), pp. 281–293
View the publication online
Varade, R.S. & Pathak, V.B., 'Detection of Hate Speech in Hinglish Language' (2020), Advances in Intelligent Systems and Computing, 1101, pp. 265-276
View the publication online
Vargas, F., Carvalho, I., Góes, F., Pardo, T.A.S. & Benevenuto, F., 'HateBR: A Large Expert Annotated Corpus of Brazilian Instagram Comments for Offensive Language and Hate Speech Detection' (2022), 2022 Language Resources and Evaluation Conference, LREC 2022, pp. 7174-7183
View the publication online
Vargas, F., Góes, F., Carvalho, I., Benevenuto, F. & Pardo, T.A.S., 'Contextual-Lexicon Approach for Abusive Language Detection' (2021), International Conference Recent Advances in Natural Language Processing, RANLP, pp. 1438-1447
View the publication online
Vashistha, N. & Zubiaga, A., 'Online multilingual hate speech detection: Experimenting with Hindi and English social media' (2021), Information (Switzerland), 12(1),5, pp. 1-16
View the publication online
Vasilenko, E., 'Online hate speech in Belarus: Highlighting the topical issues' (2021), Zeitschrift fur Slawistik, 66(4), pp. 558-577
View the publication online
Vasist, P.N., Chatterjee, D. & Krishnan, S., 'The Polarizing Impact of Political Disinformation and Hate Speech: A Cross-country Configural Narrative' (2023), Information Systems Frontiers [online]
View the publication online
Vázquez, M.F. & Pérez, F.S., 'Hate Speech in Spain Against Aquarius Refugees 2018 in Twitter' (2019), ACM International Conference Proceeding Series, pp. 906-910
View the publication online
Vedeler, J.S., Olsen, T. & Eriksen, J., 'Hate speech harms: a social justice discussion of disabled Norwegians’ experiences' (2019), Disability & Society [online]
View the publication online
Veerasamy, S., Khare, Y., Ramesh, A., Adarsh, S., Singh, P. & Anjali, T., 'Hate Speech Detection using mono BERT model in custom Content-Management-System' (2022), Proceedings - 4th International Conference on Smart Systems and Inventive Technology, ICSSIT 2022, pp. 1681-1686
View the publication online
Vega, V.E., Perry, T.B., Pryor, N. & Henderson-Green, S., 'When teachers write and heal together: Using critical race theory and historically responsive literacy in digital 3rd space' (2023), Writing and Pedagogy, 15(1-2), pp. 181–196
View the publication online
Vega-Dávila, E., 'Undressing Christianisms. Disproving hate Speech in Hegemonic Christianity from Cuir/Queer Positions | DESNUDANDO CRISTIANISMOS. DESMINTIENDO LOS DISCURSOS DE ODIO EN EL CRISTIANISMO HEGEMÓNICO DESDE POSICIONAMIENTOS CUIR/QUEER' (2024), Perspectiva Teologica, 56(3), pp. 637–656
View the publication online
Vehovar, V. & Jontes, D., 'Hateful and Other Negative Communication in Online Commenting Environments: Content, Structure and Targets' (2021), Acta Informatica Pragensia, 10(3), pp. 257-274
View the publication online
Veiga, J.P. & Oliveira, L., 'Hate and Perceived Threats on the Resettlement of Afghan Refugees in Portugal' (2024), Societies, 14(7), 103
View the publication online
Velankar, A., Patil, H. & Joshi, R., 'Mono vs Multilingual BERT for Hate Speech Detection and Text Classification: A Case Study in Marathi' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13739 LNAI, pp. 121-128
View the publication online
Velásquez, N., Leahy, R., Restrepo, N.J., Lupu Y., Sear R., Gabriel N., Jha O.K., Goldberg, B. & Johnson, N.F., 'Online hate network spreads malicious COVID-19 content outside the control of individual social media platforms' (2021), Scientific Reports, 11(1),11549
View the publication online
Vellucci, P., 'Conspiracy Thinking, Online Misinformation, and Hate: Insights from an Italian News Story Using Topic Modeling Techniques' (2023), Journalism and Media, 4(4), pp. 1048–1064
View the publication online
Venäläinen, S., Virkki, T., 'Struggles for Moral Value and the Reproduction of Gendered and Racialised Hierarchies in Online Discussions of Violence' (2019), Sociological Review [online]
View the publication online
VenkatReddy, K., Vaishnavi, R. & Maharshi, C.R., 'Hate Text Finder Using Logistic Regression' (2024), Lecture Notes in Electrical Engineering, 1106, pp. 43–49
View the publication online
Venturott, L.I. & Ciarelli, P.M., 'Application of Data Augmentation Techniques for Hate Speech Detection with Deep Learning' (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12981 LNAI, pp. 778-787
View the publication online
Venturott, L.I. & Ciarelli, P.M., 'Data Augmentation for Improving Hate Speech Detection on Social Networks' (2020), ACM International Conference Proceeding Series, pp. 249-252
View the publication online
Venu, V.S., Shanmugasundaram, H., Reddy Seelam, M., Reddy Kotha, V.V., Rayudu Muthyala, S.S. & Kansal, S., 'Detection of Cyberbullying on User Tweets and Wikipedia Text using Machine Learning' (2023), Proceedings of the 2nd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2023, pp. 327–332
View the publication online
Venugopal, N.L.V., Kanchanamala, P., Muppidi, S., Prakash, T.B., Neelima, T. & Devi, S.A., 'Multilingual Toxic Comment Classification using Deep Learning' (2024), 2nd International Conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2024 - Proceedings, pp. 752–757
View the publication online
Vergani, M., Martinez Arranz, A., Scrivens, R. & Orellana, L., 'Hate Speech in a Telegram Conspiracy Channel During the First Year of the COVID-19 Pandemic' (2022), Social Media and Society, 8(4)
View the publication online
Vergani, M., Perry, B., Freilich, J., Chermak, C., Scrivens, R., Link, R., Kleinsman, D., Betts, J. & Iqbal, M., 'Mapping the scientific knowledge and approaches to defining and measuring hate crime, hate speech, and hate incidents: A systematic review' (2024), Campbell Systematic Reviews, 20(2), e1397
View the publication online
Verma, D., Thakur, G., Ansari, H. & Katarya, R., 'Utilizing Deep Learning for Textual Classification of Hate Speech in Online Social Networks' (2024), 2024 4th International Conference on Intelligent Technologies, CONIT 2024
View the publication online
Verma, G., Grover, R., Zhou, J., Mathew, B., Kraemer, J., De Choudhury, M. & Kumar, S., 'A Community-Centric Perspective for Characterizing and Detecting Anti-Asian Violence-Provoking Speech' (2024), Proceedings of the Annual Meeting of the Association for Computational Linguistics, 1, pp. 12672–12684
View the publication online
Verma, G.K., 'A Hybrid Approach for Spontaneous Emotion Recognition in Valence–Arousal Space' (2023), Lecture Notes in Networks and Systems, 755 LNNS, pp. 391–402
View the publication online
Verma, R. & Nalisnick, E., 'Calibrated Learning to Defer with One-vs-All Classifiers' (2022), Proceedings of Machine Learning Research, 162, pp. 22184–22202
View the publication online
Verma, S., Paul, A., Kariyannavar, S.S. & Katarya, R., 'Understanding the Applications of Natural Language Processing on COVID-19 Data' (2020), Proceedings of the 4th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2020, 9297490, pp. 1157-1162
View the publication online
Vetagiri, A., Mogha, P. & Pakray, P., 'Cracking Down on Digital Misogyny with MULTILATE a MULTImodaL hATE Detection System' (2024), CEUR Workshop Proceedings, 3740, pp. 1280–1296
View the publication online
Vicari, R., Elroy, O., Komendantova, N. & Yosipof, A., 'Persistence of misinformation and hate speech over the years: The Manchester Arena bombing' (2024), International Journal of Disaster Risk Reduction, 110, 104635
View the publication online
Vichare, M., Thorat, S., Uberoi, S., Khedekar, S. & Jaikar, S., 'Toxic Comment Analysis for Online Learning' (2021), ACCESS 2021 - Proceedings of 2021 2nd International Conference on Advances in Computing, Communication, Embedded and Secure Systems, pp. 130-135
View the publication online
Vidgen, B. & Derczynski, L., 'Directions in abusive language training data, a systematic review: Garbage in, garbage out' (2021), PLoS ONE, 15(12 December), e0243300
View the publication online
Vidgen, B. & Yasseri, T., 'Detecting Weak and Strong Islamophobic Hate Speech on Social Media' (2020), Journal of Information Technology and Politics, 17(1), pp. 66-78
View the publication online
Vidgen, B., Yasseri, T. & Margetts, H., 'Islamophobes are not all the same! A study of far right actors on Twitter' (2021), Journal of Policing, Intelligence and Counter Terrorism [online]
View the publication online
Vijay & Verma, P., 'Framework to Create Sentiment Lexicons For Extremism Detection in Text Documents' (2023), 2023 International Conference on IoT, Communication and Automation Technology, ICICAT 2023
View the publication online
Vijay, V. & Verma, P., 'Variants of Naïve Bayes Algorithm for Hate Speech Detection in Text Documents' (2023), 2023 International Conference on Artificial Intelligence and Smart Communication, AISC 2023, pp. 18-21
View the publication online
Vilar-Lluch, S., 'Understanding and appraising ‘hate speech’' (2023), Journal of Language Aggression and Conflict, 11(2), pp. 279–306
View the publication online
Vilím, L., 'Social Media – Hate Speech – Hate Crime' (2021), Connections, 20(2), pp. 57-73
View the publication online
Villar-Rodríguez, G., Huertas-García, Á., Martín, A., Huertas-Tato, J. & Camacho, D., 'DisTrack: A New Tool For Semi-automatic Misinformation Tracking in Online Social Networks' (2025), Cognitive Computation, 17(1), 12
View the publication online
Vishwamitra, N., Hu, R.R., Luo, F., Cheng, L., Costello, M. & Yang, Y., 'On Analyzing COVID-19-Related Hate Speech Using BERT Attention' (2020), Proceedings - 19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, 9356255, pp. 669-676
View the publication online
Vitiugin, F., Senarath, Y. & Purohit, H., 'Efficient Detection of Multilingual Hate Speech by Using Interactive Attention Network with Minimal Human Feedback' (2021), ACM International Conference Proceeding Series, pp. 130-138
View the publication online
Vitullo, A., 'The online intersection among Islamophobia, populism, and hate speech: An Italian perspective' (2021), Journal of Religion, Media and Digital Culture, 10(1), pp. 95-114
View the publication online
Vlad, G.-A., Zaharia, G.-E., Cercel, D.-C. & Dascalu, M., 'UPB @ DANKMEMES: Italian memes analysis – Employing visual models and graph convolutional networks for meme identification and hate speech detection' (2020), CEUR Workshop Proceedings, 2765
View the publication online