Publications: Cyber hate (online hate crime)

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Struck, J. & Wagner, D., 'Online Hate Speech – Social Complexity of Individual Excesses. Micro- and Macro-Sociological Perspectives on Attributions of Inequality in Digital Speech Acts | [Online Hate Speech – gesellschaftliche Komplexität individueller Exzesse. Mikro- und makrosoziologische Perspektiven auf Ungleichwertigkeitszuschreibungen in digitalen Sprechakten]' (2022), Kriminologie, 4(2), pp. 179-195
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Su, L., Wang, Z., Peng, Y. & Sun, C., 'Identification of Offensive Language in Social Media Using Prompt Learning' (2023), Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023, pp. 690–691
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Su, X., Li, Y., Branco, P. & Inkpen, D., 'SSL-GAN-RoBERTa: A robust semi-supervised model for detecting Anti-Asian COVID-19 hate speech on social media' (2023), Natural Language Engineering [online]
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Subramanian, M., Adhithiya, G.J., Gowthamkrishnan, S. & Deepti, R., 'Detecting Offensive Tamil Texts Using Machine Learning And Multilingual Transformer Models' (2022), 1st IEEE International Conference on Smart Technologies and Systems for Next Generation Computing, ICSTSN 2022
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Subramanian, M., Easwaramoorthy Sathiskumar, V., Deepalakshmi, G., Cho, J. & Manikandan, G., 'A survey on hate speech detection and sentiment analysis using machine learning and deep learning models' (2023), Alexandria Engineering Journal, 80, pp. 110–121
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Sultan, D., Mussiraliyeva, S., Toktarova, A., Nurtas M., Iztayev Z., Zhaidakbaeva L., Shaimerdenova L., Akhmetova, O. & Omarov, B., 'Cyberbullying and Hate Speech Detection on Kazakh-Language Social Networks' (2021), Proceedings - 2021 7th IEEE International Conference on Big Data Security on Cloud, IEEE International Conference on High Performance and Smart Computing, and IEEE International Conference on Intelligent Data and Security, BigDataSecurity/HPSC/IDS 2021, 9463568, pp. 197-201
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Sultan, D., Omarov, B., Kozhamkulova, Z., Kazbekova, G., Alimzhanova, L., Dautbayeva, A., Zholdassov, Y. & Abdrakhmanov, R., 'A Review of Machine Learning Techniques in Cyberbullying Detection' (2023), Computers, Materials and Continua, 74(3), pp. 2625-2640
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Sultan, D., Toktarova, A., Zhumadillayeva, A., Aldeshov, S., Mussiraliyeva, S., Beissenova, G., Tursynbayev, A., Baenova, G. & Imanbayeva, A., 'Cyberbullying-related Hate Speech Detection Using Shallow-to-deep Learning' (2023), Computers, Materials and Continua, 74(1), pp. 2115-2131
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Sulzhytski, I., 'Opposition as “a Mould on the Fatherland”: Hate Speech and Grassroots Telegram Propaganda in Belarus' (2022), Journal of Belarusian Studies, 908(2), 12350018
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Sumanth, P., Samiuddin, S., Jamal, K., Domakonda, S. & Shivani, P., 'Toxic Speech Classification using Machine Learning Algorithms' (2022), Proceedings of the 2022 International Conference on Electronic Systems and Intelligent Computing, ICESIC 2022, pp. 257-263
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Sun, Y. & Xiao, H., 'Profiling Hate Speech Spreaders on Twitter using BERT Pre-trained Model and Neural Network' (2022), Proceedings of SPIE - The International Society for Optical Engineering, 125005X
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Sunagar, P., Kanavalli, A., Nayak, S.S., Mahan, S.R., Prasad, S. & Prasad, S., 'Classification of Hate Tweets Using Hybrid Deep Belief Network Algorithm' (2022), Lecture Notes in Electrical Engineering, 936, pp. 3-12
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Sundaram, V., Pavan, R.S., Kandaala, S. & Reddy, R.R., 'Distinguishing Hate Speech from Sarcasm' (2022), 2022 International Conference for Advancement in Technology, ICONAT 2022
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Sundén, J. & Paasonen, S., 'Shameless hags and tolerance whores: feminist resistance and the affective circuits of online hate' (2018), Feminist Media Studies 18(4), pp. 643-656
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Suresh Babu, C.V., Kowsika, S., Tejaswi, M.S., Janarakshani, T.R. & Princy, S.M., 'Framework for detection of cyberbullying in text data using natural language processing and machine learning' (2023), in N. Chitadze (Ed.) Cyber Security Policies and Strategies of the World's Leading States (pp. 69–85), Hershey, PA: IGI Global
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Sutton, M., 'Race hatred and the Far Right on the internet' (2002), Criminal Justice Matters, 48(1), pp.26-27
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Swain, M., Biswal, M., Raj, P., Kumar, A. & Mishra, D., 'Hate and Offensive Language Identification from Social Media: A Machine Learning Approach' (2022), Lecture Notes in Electrical Engineering, 860, pp. 335-342
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Syahputra, I., 'Expressions of Hatred and the Formation of Spiral of Anxiety on Social Media in Indonesia' (2019), SEARCH (Malaysia), 11(1), pp. 95-112
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Syahputri, A.B. & Sibaroni, Y., 'Comparative Analysis of CNN and LSTM Performance for Hate Speech Detection on Twitter' (2023), International Conference on ICT Convergence, 2023-August, pp. 190–195
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Syaifuddiin, G.N., Arifin, R., Desriyanti, Buntoro, G.A., Rosyidin, Z.U., Pratama, R.Y. & Selamat, A., 'Hoax Identification of Indonesian Tweeters Using Ensemble Classifier' (2023), Journal of Information Systems and Telecommunication, 11(2), pp. 94–101
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Syam, S.S., Irawan, B. & Setianingsih, C., 'Hate Speech Detection on Twitter Using Long Short-Term Memory (LSTM) Method' (2019), 2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2019, 9003992, pp. 305-310
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TaeHyuk Keum, B. & Hearns, M., 'Online Gaming and Racism: Impact on Psychological Distress Among Black, Asian, and Latinx Emerging Adults' (2021), Games and Culture [online]
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Tahmasbi, F., Schild, L., Ling, C., Blackburn, J., Stringhini, G, Zhang, Y. & Zannettou, S., '“Go eat a bat, Chang!”: On the emergence of Sinophobic behavior on web communities in the face of COVID-19' (2021), The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021, pp. 1122-1133
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Taibi, D., Börsting, J., Hoppe, U., Ognibene, D., Hernández-Leo, D., Eimler, S.C. & Kruschwitz, U., 'The Role of Educational Interventions in Facing Social Media Threats: Overarching Principles of the COURAGE Project' (2023), Communications in Computer and Information Science, 1779 CCIS, pp. 315-329
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Tainturier, B., de Dampierre, C. & Cardon, D., 'Measuring the anti-Semitic imprint on YouTube │ Mesurer l’empreinte antisémite sur YouTube' (2023), BMS Bulletin of Sociological Methodology/ Bulletin de Methodologie Sociologique, 160(1), pp. 71–98
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Tanvir, R., Shawon, M.T.R., Mehedi, M.H.K., Mahtab, M.M. & Rasel, A.A., 'A GAN-BERT Based Approach for Bengali Text Classification with a Few Labeled Examples' (2023), Lecture Notes in Networks and Systems, 583 LNNS, pp. 20-30
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Tanyel, T., Alkurdi, B. & Ayvaz, S., 'Linguistic-based Data Augmentation Approach for Offensive Language Detection' (2022), Proceedings - 7th International Conference on Computer Science and Engineering, UBMK 2022, pp. 1-6
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Taplin, P., Holland, C. & Billing, L., 'The sovereign citizen superconspiracy: Contemporary issues in native title anthropology' (2023), Australian Journal of Anthropology [online]
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Taradhita, D.A.N. & Putra, I.K.G.D., 'Hate speech classification in Indonesian language Tweets by using convolutional neural network' (2021), Journal of ICT Research and Applications, 14(3), pp. 225-239
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Teh, P.L. & Cheng, C.-B., 'Profanity and Hate Speech Detection' (2020), International Journal of Intelligent Computing and Cybernetics [online]
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Thakkar, H., Patil, A., Saudagar, O. & Yenkikar, A., 'Sentiment and Statistical Analysis on Custom Twitter Dataset for 2022 Russo-Ukrainian Conflict' (2023), Proceedings of the International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, ICIITCEE 2023, pp. 679-684
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Thakur, A.K., Ilievski, F., Sandlin, H.-Â., Sourati, Z., Luceri, L., Tommasini, R. & Mermoud, A., 'Explainable Classification of Internet Memes' (2023), CEUR Workshop Proceedings, 3432, pp. 395–409
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Thangarasu, G. & Alla, K.R., 'Detection of Cyberbullying Tweets in Twitter Media Using Random Forest Classification' (2023), 13th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2023, pp. 113–117
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Thapa, S., Rauniyar, K., Shiwakoti, S., Poudel, S., Naseem, U. & Nasim, M., 'NEHATE: Large-Scale Annotated Data Shedding Light on Hate Speech in Nepali Local Election Discourse' (2023), Frontiers in Artificial Intelligence and Applications, 372, pp. 2346–2353
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Thareja, R., 'Multimodal Sentiment Analysis of Social Media Content and Its Impact on Mental Wellbeing: An Investigation of Extreme Sentiments' (2024), ACM International Conference Proceeding Series, pp. 469–473
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Themeli, C., Giannakopoulos, G. & Pittaras, N., 'A Study of Text Representations for Hate Speech Detection' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13452 LNCS, pp. 424-437
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Theodosiadou, O., Pantelidou, K., Bastas, N., Chatzakou D., Tsikrika T., Vrochidis, S. & Kompatsiaris, I., 'Change point detection in terrorism-related online content using deep learning derived indicators' (2021), Information (Switzerland), 12(7), 274
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Theophilo, A. & Rocha, A., 'Authorship Attribution of Small Messages Through Language Models' (2022), 2022 IEEE International Workshop on Information Forensics and Security, WIFS 2022
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Thi, T.N. & Do, T.-H., 'Lexicon-enhanced hate speech detection on Vietnamese social network data' (2022), Proceedings - 2022 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCom 2022, pp. 90-95
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Thilagavathy, A., Deepa, R., Lalitha, S.D., Raju, D.N., Ramya, R., Ramya, M., Rithika, L. & Sundari, K.K., 'Semantic-Based Classification of Toxic Comments Using Ensemble Learning' (2023), E3S Web of Conferences, 399, 04017
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Thomas, D.R. & Wahedi, L.A., 'Disrupting hate: The effect of deplatforming hate organizations on their online audience' (2023), Proceedings of the National Academy of Sciences of the United States of America, 120(24), e2214080120
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Thomas, P.B., Riehm, D., Glenski, M. & Weninger, T., 'Behavior Change in Response to Subreddit Bans and External Events' (2021), IEEE Transactions on Computational Social Systems [online]
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Thompson, N. & Woodger, D., '“I Hope the River Floods”: Online Hate Speech Towards Gypsy, Roma and Traveller Communities' (2020), British Journal of Community Justice, 16(1), pp. 41-63
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Thomson, H., 'Undercover with Online Extremists' (2020), New Scientist, 245(3272), pp. 41-43
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Titli, S.R. & Paul, S., 'Automated Bengali abusive text classification: Using Deep Learning Techniques' (2023), IEEE International Conference on Advances in Electronics, Communication, Computing and Intelligent Information Systems, ICAECIS 2023 – Proceedings
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Tiwari, A. & Agrawal, A., 'Comparative Analysis of Different Machine Learning Methods for Hate Speech Recognition in Twitter Text Data' (2022), Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies: Computational Intelligence for Smart Systems, ICICICT 2022, pp. 1016-1020
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Tjon Soei Len, L.K.L. & De Ruijter, A., 'Conceptualising the tortuous harms of sexist and racist hate speech' (2023), European Law Open, 2(1), pp. 8–29
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Tobar-Arancibia, A., Moreno, S. & Lopatin, J., 'Hate Speech Recognition in Chilean Tweets' (2023), Proceedings - International Conference of the Chilean Computer Science Society (SCCC)
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Toha, F.R., Akter, K., Tabassum, L. & Islam, M.M., 'Beyond Language Boundaries: Analysis and Ensemble Approach of Hate Speech Detection in South Asian Social Media' (2023), 2023 26th International Conference on Computer and Information Technology, ICCIT 2023
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Toktarova, A., Iztaev, Z., Kozhabekova, P., Suieuova, N., Opondo, R.O., Kerimbekov, M. & Zhunisbekova, Z., 'Automated hate speech classification using emotion analysis in social media user generated texts' (2022), Journal of Theoretical and Applied Information Technology, 100(22), pp. 6621-6634
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