Publications: Hate speech

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(Marelize) Marais, M.E., 'Hate Speech in the Equality Act Following the Constitutional Court Judgment in Qwelane v SAH' (2023), Potchefstroom Electronic Law Journal, 26, pp. 1–33
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A, J., da Silva, F.L.V., Costa, W., Carvalho, R.B., Bender, A.T., Correa, U.B. & de Freitas, L.A., 'BERTimbau in Action: An Investigation of its Abilities in Sentiment Analysis, Aspect Extraction, Hate Speech Detection, and Irony Detection' (2023), Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS, 36
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Aarthi, B. & Chelliah, B.J., 'Latent Dirichlet Allocation Model for plurilingual Language Opinion Classification in Social media' (2023), 2023 IEEE International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering, RMKMATE 2023
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Aarthi, B. & Chelliah, B.J., 'HATDO: hybrid Archimedes Tasmanian devil optimization CNN for classifying offensive comments and non-offensive comments' (2023), Neural Computing and Applications [online]
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Ababu, T.M. & Woldeyohannis, M.M., 'Afaan Oromo Hate Speech Detection and Classification on Social Media' (2022), 2022 Language Resources and Evaluation Conference, LREC 2022, pp. 6612-6619
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Abashidze, A.K. & Butt, M.S., 'Freedom of Expression—A Double-Edged Right That Continues to Divide Peoples Across the Globe on How Best to Frame Its Scope and Limitations—An Organization of Islamic Cooperation (OIC) Perspective in Times of Digitalization' (2022), Smart Innovation, Systems and Technologies, 254, pp. 187-199
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Abbes, M., Kechaou, Z. & Alimi, A.M., 'Deep learning approach for Tunisian hate Speech detection on Facebook' (2023), Proceedings - IEEE Symposium on Computers and Communications, 2023, pp. 739–744
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Abd Elminaam, D.S., Abdelaziz, A., Essam, G. & Mohamed, S.E., 'AraFake: A Deep Learning Approach for Arabic Fake News Detection' (2023), 3rd International Mobile, Intelligent, and Ubiquitous Computing Conference, MIUCC 2023, pp. 268–275
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Abdallah Tani, M.E.N. & Alrasheed, T.K.A., 'Violence in digital communication social media through the of installing technique' (2023), Measurement: Sensors, 25, 100646
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Abdel-Raheem, A. & Goubaa, M., 'Taboo language in a sample of Egyptian op-eds: A corpus-based socio-cognitive study' (2024), Discourse and Society [online]
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AbdelHamid, M., Jafar, A. & Rahal, Y., 'Levantine hate speech detection in Twitter' (2022), Social Network Analysis and Mining, 12(1), 121
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Abdelsamie, M.M., Azab, S.S. & Hefny, H.A., 'A comprehensive review on Arabic offensive language and hate speech detection on social media: methods, challenges and solutions' (2024), Social Network Analysis and Mining, 14(1), 111
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Abderrouaf, C. & Oussalah, M., 'On Online Hate Speech Detection. Effects of Negated Data Construction' (2019), Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019, 9006336, pp. 5595-5602
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Abdou, A.L.N.N. & Tagne, E.F., 'A Sentiment Analysis Approach for Abusive Content Detection using Improved Dataset' (2021), Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021, pp. 1415-1420
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Abdrakhmanov, R., Kenesbayev, S.M., Berkimbayev, K., Toikenov, G., Abdrashova, E., Alchinbayeva, O. & Ydyrys, A., 'Offensive Language Detection on Social Media using Machine Learning' (2024), International Journal of Advanced Computer Science and Applications, 15(5), pp. 575–582
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Abdul Aziz, N.A., Aizaini Maarof, M. & Zainal, A., 'Hate Speech and Offensive Language Detection: A New Feature Set with Filter-Embedded Combining Feature Selection' (2021), 2021 3rd International Cyber Resilience Conference, CRC 2021, 9392486
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Abdullah, I., Hasse, J., Qudsy, S.Z., Pabbajah, M. & Prasojo, Z.H., 'The Use and Abuse of Internet Spaces: Fitna, Desacralization, and Conflict in Indonesia’s Virtual Reality' (2024), Cosmopolitan Civil Societies, 16(3), pp. 1–12
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Abdurrahman, M.H., Irawan, B. & Setianingsih, C., 'A Review of Light Gradient Boosting Machine Method for Hate Speech Classification on Twitter' (2020), ICECIE 2020 - 2020 2nd International Conference on Electrical, Control and Instrumentation Engineering, Proceedings, 9309565
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Abebaw, Z., Rauber, A. & Atnafu, S., 'Design and Implementation of a Multichannel Convolutional Neural Network for Hate Speech Detection in Social Networks' (2022), Revue d'Intelligence Artificielle, 36(2), pp. 175-183
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Abebaw, Z., Rauber, A. & Atnafu, S., 'Multi-channel Convolutional Neural Network for Hate Speech Detection in Social Media' (2022), Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 411 LNICST, pp. 603-618
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Abel, R.L., 'How Autocrats Abuse Power: Resistance to Trump and Trumpism' (2024), London: Routledge
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Abercrombie, G., Basile, V., Bernadi, D., Dudy, S., Frenda, S., Havens, L. & Tonelli, S. (Eds.), 'Proceedings of the 3rd Workshop on Perspectivist Approaches to NLP (NLPerspectives) @ LREC-COLING 2024' (2024), ELRA and ICCL, Torino, Italy, May 2024
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Abercrombie, G., Hovy, D. & Prabhakaran, V., 'Temporal and Second Language Influence on Intra-Annotator Agreement and Stability in Hate Speech Labelling' (2023), Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 96–103
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Abhijith, A.B. & Prithvi, P., 'Automated Toxic Chat Synthesis, Reporting and Removing the Chat in Telegram Social Media Using Natural Language Processing Techniques' (2024), 2024 4th International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2024
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Abid, A.A., Shami, S. & Ashfaq, A., 'Facebook and hate speech: Analyzing relationship between consumers’ attributes and Islamic sectarian content on social media in Pakistan' (2021), Journal of Islamic Thought and Civilization, 11(1)
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Abidin, Z., Adina, N., Arifudin, R., Purwinarko, A., Hamdani, H. & Wibisono, D.L., 'A deep learning approach for sentiment analysis of hate tweets' (2023), AIP Conference Proceedings, 2614, 040017
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Abondo Ndo, W.S., 'Digital Shifts and Ethno-Political Dynamics: Examining Event and Actor Designation in the Cameroon Boko Haram Terrorism Conflict through Print and Online Platforms' (2024), Journalism and Media, 5(1), pp. 359–381
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Abro, S., Shaikh, S., Ali, Z., Khan. S., Mujtaba, G. & Khand, Z.H., 'Automatic Hate Speech Detection Using Machine Learning: A Comparative Study' (2020), International Journal of Advanced Computer Science and Applications, 11(8), pp. 484-491
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Abuín-Vences, N., Cuesta-Cambra, U., Niño-González, J.-I. & Bengochea-González, C., 'Hate speech analysis as a function of ideology: Emotional and cognitive effects | [Análisis del discurso de odio en función de la ideología: Efectos emocionales y cognitivos]' (2022), Comunicar, 30(71), pp. 1-11
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Abulohoom, A. & Elnagar, A., 'Toxicity Detection and Classification in Arabic Text' (2024), Lecture Notes in Networks and Systems, 1086 LNNS, pp. 41–52
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Achondo, L., 'Musical Messaging: The Social and Anti-Social Affordances of WhatsApp in the Football Culture of the Latin American Southern Cone' (2022), Twentieth-Century Music, 19(3), pp. 517-536
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Adams, K.K.J., 'A Spoonful of Sugar Makes the Hate Speech Go Down: Sugar-Coating in White Nationalist Recruitment Speech' (2023), Topoi [online]
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Adeeba, F., Yousuf, M.I., Anwer, I., Tariq, S.U., Ashfaq, A. & Naqeeb, M., 'Addressing cyberbullying in Urdu tweets: a comprehensive dataset and detection system' (2024), PeerJ Computer Science, 10, e1963
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Adejumo-Ayibiowu, O.D., 'The ultimate other versus the inferior other: an Afrocentric analysis of ethnic-stereotyping and Afrophobia' (2023), African Identities [online]
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Adekotujo, A.S., Enikuomehin, T., Aribisala, B., Mazzara, M. & Zubair, A.F., 'Computational treatment of natural language text for intent detection' (2024), Computer Research and Modeling, 16(7), pp. 1539–1554
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Adesokan, A., Madria, S. & Nguyen, L., 'HatEmoTweet: low-level emotion classifications and spatiotemporal trends of hate and offensive COVID-19 tweets' (2023), Social Network Analysis and Mining, 13(1), 136
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Adewumi, T., Sabry, S.S., Abid, N., Liwicki, F. & Liwicki, M., 'T5 for Hate Speech, Augmented Data, and Ensemble' (2023), Sci, 5(4), 37
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Adiprasetio, J., Wibowo, K.A. & Rahmawan, D., 'A meta-analysis of hate speech in Indonesia the yielding of academic discourse to the discourse of authority' (2021), Pacific Journalism Review, 27(1-2), pp. 251-267
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Adisa, R.M., Segbefia, S.K., Mohammed, S. & Trofimova, G.N., 'Misinformation and disinformation in ethno-religious conflicts: a comparative study of media in Ghana and Nigeria | Неточная информация и дезинформация относительно этнорелигиозных конфликтов: сравнительное исследование медиа Ганы и Нигерии' (2024), RUDN Journal of Studies in Literature and Journalism, 29(2), pp. 346–357
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Aditya, A., Vinod, R., Kumar, A., Bhowmik, I. & Swaminathan, J., 'Classifying Speech into Offensive and Hate Categories along with Targeted Communities using Machine Learning' (2022), 5th International Conference on Inventive Computation Technologies, ICICT 2022 – Proceedings, pp. 291-295
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Affan, M., Ali, S.S., Anwar, T. & Rastogi, A., 'Information Disorder Amidst Crisis: A Case Study of COVID-19 in India' (2024), IEEE Transactions on Computational Social Systems [online]
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Agarwal, N., Mead, E., Spann, B. & Donoven, K., 'Developing Approaches to Detect and Mitigate COVID-19 Misinfodemic in Social Networks for Proactive Policymaking' (2022), in R. Gill & R. Goolsby (Eds.) COVID-19 Disinformation: A Multi-National, Whole of Society Perspective (Advanced Sciences and Technologies for Security Applications Series) (pp. 47-79), Cham: Springer
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Agarwal, P., Hawkins, O., Amaxopoulou, M., Dempsey, N., Sastry, N. & Wood, E., 'Hate Speech in Political Discourse: A Case Study of UK MPs on Twitter' (2021), HT 2021 - Proceedings of the 32nd ACM Conference on Hypertext and Social Media, pp. 155-164
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Agarwal, S. & Chowdary, C.R., 'Combating hate speech using an adaptive ensemble learning model with a case study on COVID-19' (2021), Expert Systems with Applications, 185, 115632
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Agarwal, S., Sonawane, A. & Chowdary, C.R., 'Accelerating automatic hate speech detection using parallelized ensemble learning models' (2023), Expert Systems with Applications, 230, 120564
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Agarwal, V., Chen, Y. & Sastry, N., 'GASCOM: Graph-based Attentive Semantic Context Modeling for Online Conversation Understanding' (2024), Online Social Networks and Media, 43-44, 100290
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Agarwal, V., Joglekar, S., Young, A.P. & Sastry, N., 'GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates' (2022), WWW 2022 - Proceedings of the ACM Web Conference 2022, pp. 2729-2737
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Agarwal, V., Young, A.P., Joglekar, S. & Sastry, N., 'A Graph-Based Context-Aware Model to Understand Online Conversations' (2023), ACM Transactions on the Web, 18(1), 10
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Agbor, A., 'Language as a Tool of Divisive Politics: Perspectives on Foreign Nationals in South Africa' (2024), Potchefstroom Electronic Law Journal, 27
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Aggarwal, A., Sharma, V., Trivedi, A., Agrawal, C., Singh, D., Mishra, V. & Gritli, H., 'Two-Way Feature Extraction Using Sequential and Multimodal Approach for Hateful Meme Classification' (2021), Complexity, 2021, 5510253
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