Publications: Cyber hate (online hate crime)
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Hoffmann, J. & Kruschwitz, U., 'UR NLP @ HaSpeeDe 2 at EVALITA 2020: Towards robust hate speech detection with contextual embeddings' (2020), CEUR Workshop Proceedings, 2765
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Hohl, A., Choi, M., Yellow Horse, A.J., Medina, R.M., Wan, N. & Wen, M., 'Spatial Distribution of Hateful Tweets Against Asians and Asian Americans During the COVID-19 Pandemic, November 2019 to May 2020' (2022), American Journal of Public Health, 112(4), pp. 646-649
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Home Office, 'Hate crime: Abuse, hate and extremism online' (2017)
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Hong, M., 'Regulating hate speech and disinformation online while protecting freedom of speech as an equal and positive right–comparing Germany, Europe and the United States' (2022), Journal of Media Law [online]
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Hong, T., Tang, Z., Lu, M., Wang, Y., Wu, J. & Wijaya, D., 'Effects of #coronavirus content moderation on misinformation and anti-Asian hate on Instagram' (2023), New Media and Society [online]
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Hong-Phuc Vo, H., Nguyen, H.H. & Do, T.-H., 'Online Hate Speech Detection on Vietnamese Social Media Texts In Streaming Data' (2022), Lecture Notes on Data Engineering and Communications Technologies, 124, pp. 315-325
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Hoque, M.N., Chakraborty, P. & Seddiqui, M.H., 'The Challenges and Approaches during the Detection of Cyberbullying Text for Low-resource Language: A Literature Review' (2023), ECTI Transactions on Computer and Information Technology, 17(2), pp. 192–214
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Hosek, A.M., Rubinsky, V., Hudak, N., Davari Zanjani, S. & Sanburg, S., 'Exploring the Type and Impact of Memorable Hate Messages and Identity Salience on Self-Esteem, Relational Outcomes, and Intergroup Biases' (2021), Journal of Intercultural Communication Research [online]
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Hossain Junaid, M.I., Hossain, F. & Rahman, R.M., 'Bangla Hate Speech Detection in Videos Using Machine Learning' (2021), 2021 IEEE 12th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2021, pp. 347-351
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Hossain, N., Tran, M. & Kautz, H., 'A framework for political portmanteau decomposition' (2020), Proceedings of the 14th International AAAI Conference on Web and Social Media, ICWSM 2020, pp. 944-948
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House of Commons, 'Hate crime: Abuse, hate and extremism online Fourteenth Report of Session 2016-17' (2017), Home Affairs Committee
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House of Commons, 'Online abuse and the experience of disabled people: Draft recommendations for consultation' (2018)
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Hsu, J.T.-H. & Tsai, R.T.-H., 'Increased Online Aggression During COVID-19 Lockdowns: Two-Stage Study of Deep Text Mining and Difference-in-Differences Analysis' (2022), Journal of Medical Internet Research, 24(8), pp. e38776
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Hswen, Y., 'Online Hate: The New Virus' (2022), American Journal of Public Health, 112(4), pp. 545-547
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Hu, R., Dorris, W., Vishwamitra, N., Luo, F. & Costello, M., 'On the Impact of Word Representation in Hate Speech and Offensive Language Detection and Explanation' (2020), CODASPY 2020 - Proceedings of the 10th ACM Conference on Data and Application Security and Privacy, pp. 171-173
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Huang, X., 'Easy Adaptation to Mitigate Gender Bias in Multilingual Text Classification' (2022), NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, pp. 717-723
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Huang, F., Kwak, H. & An, J., 'Chain of Explanation: New Prompting Method to Generate Quality Natural Language Explanation for Implicit Hate Speech' (2023), ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023, pp. 90-93
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Huang, X. & Xu, M., 'An Inter and Intra Transformer for Hate Speech Detection' (2021), 2021 3rd International Academic Exchange Conference on Science and Technology Innovation, IAECST 2021, pp. 346-349
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Huang, Y., Gao, Y. & Yang, J., '“Guarding Our National Volleyball Sheroes Against Social Media Malice”: Exploring the Rejection-Identification Process Among Chinese Women’s National Volleyball Team Fans' (2024), Communication and Sport [online]
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Hübscher, M. & Von Mering, S. (Eds.), 'Antisemitism on Social Media' (2022), London: Routledge
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Hübscher, M. & von Mering, S. (Eds.), 'Antisemitism on Social Media' (2022), London: Routledge
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Huertas-García, Á., Martín, A., Huertas-Tato, J. & Camacho, D., 'Countering malicious content moderation evasion in online social networks: Simulation and detection of word camouflage' (2023), Applied Soft Computing, 145, 110552
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Huie, K., Butler, M. & Percy, A., 'Identifying trends and patterns in offending and victimization on Snapchat: a rapid review' (2023), Security Journal [online]
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Hulliyah, K., Muzayyanah, F.E. & Setyawan, B.A., 'Multilabel Sentiment Analysis Of Hate Speech Using The Combination Of Indo Bert Lite And Bidirectional Lstm-Cnn Methods With Grid Search Hyperparameter Optimization' (2023), 2023 11th International Conference on Cyber and IT Service Management, CITSM 2023
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Hung, Y.-H., Miles, A.L., Trevino, Z., DAniello, C., Wood, H., Bishop, A. & Monshad, Z., 'BIPOC Experiences of Racial Trauma on TikTok: A Qualitative Content Analysis' (2023), Contemporary Family Therapy [online]
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Hürriyetoğlu, A., Tanev, H., Thapa, S. & Uludoğan, G. (Eds.), 'Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024)' (2024), Association for Computational Linguistics (March 2024), St. Julian’s, Malta
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Husain, F. & Uzuner, O., 'Investigating the Effect of Preprocessing Arabic Text on Offensive Language and Hate Speech Detection' (2022), ACM Transactions on Asian and Low-Resource Language Information Processing, 21(4), 73
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Hussain, S., Bostan, H. & Qaisarani, I., 'Trolling of female journalists on Twitter in Pakistan: an analysis' (2022), Media International Australia [online]
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Hüsünbeyi, Z.M., Akar, D &, Özgür, A., 'Identifying Hate Speech using Neural Networks and Discourse Analysis Techniques' (2022), Proceedings of the Language Resources and Evaluation Conference, LREC 2022 Workshop on Language Technology and Resources for a Fair, Inclusive, and Safe Society, LATERAISSE 2022, pp. 32-41
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Hutchinson, J., Amarasingam, A., Scrivens, R. & Ballsun-Stanton, B., 'Mobilizing extremism online: Comparing Australian and Canadian right-wing extremist groups on Facebook' (2021), Behavioral Sciences of Terrorism and Political Aggression [online]
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Hyman, T., 'The Harms of Racist Online Hate Speech in the Post-COVID Working World: Expanding Employee Protections' (2021), Fordham Law Review, 89(4), pp. 1553-1588
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Iannelli, L. & Marino, G., 'Participation in Problematic News Cycles on Social Media and Instant Messaging Services during the Covid-19 Pandemic the Impact of News Use, Political Discussion, and Ideological Extremism' (2022), Comunicazione Politica, 23(3), pp. 381-402
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Ibañez, M., Sapinit, R., Reyes, L.A., Hussien, M., Imperial, J.M. & Rodriguez, R., 'Audio-Based Hate Speech Classification from Online Short-Form Videos' (2021), 2021 International Conference on Asian Language Processing, IALP 2021, pp. 72-77
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Ibrahim, M.A., Arifin, S. & Purwanto, E.S., 'Exploring Data Augmentation for Gender-Based Hate Speech Detection' (2023), Journal of Computer Science, 19(10), pp. 1222–1230
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Ibrahim, M.A., Faisal, Sulistiya, Z.D. & Winarto, T.S.Y., 'Prompt-Based Data Augmentation with Large Language Models for Indonesian Gender-Based Hate Speech Detection' (2024), Journal of Computer Science, 20(8), pp. 819–826
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Ibrahim, M.A., Sagala, N.T.M., Arifin, S., Nariswari, R., Murnaka, N.P. & Prasetyo, P.W., 'Separating Hate Speech from Abusive Language on Indonesian Twitter' (2022), 2022 International Conference on Data Science and Its Applications, ICoDSA 2022, pp. 187-191
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Ibrahim, V., Bakar, J.A., Harun, N.H. & Abdulateef, A.F., 'A word cloud model based on hate speech in an online social media environment' (2021), Baghdad Science Journal, 18, pp. 937-946
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Ibrahim, Y.M., Essameldin, R. & Darwish, S.M., 'An Adaptive Hate Speech Detection Approach Using Neutrosophic Neural Networks for Social Media Forensics' (2024), Computers, Materials and Continua, 79(1), pp. 243–262
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Ibrahim, Y.M., Essameldin, R. & Saad, S.M., 'Social Media Forensics: An Adaptive Cyberbullying-Related Hate Speech Detection Approach Based on Neural Networks With Uncertainty' (2024), IEEE Access, 12, pp. 59474–59484
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Ibrohim, M.O. & Budi, I., 'Hate speech and abusive language detection in Indonesian social media: Progress and challenges' (2023), Heliyon, 9(8), e18647
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Ibrohim, M.O. & Budi, I., 'Translated vs Non-Translated Method for Multilingual Hate Speech Identification in Twitter' (2019), International Journal on Advanced Science, Engineering and Information Technology, 9(4), pp. 1116-1123
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Ibrohim, M.O., Setiadi, M.A. & Budi, I., 'Identification of Hate Speech and Abusive Language on Indonesian Twitter Using the Word2vec, Part of Speech and Emoji Features' (2019), ACM International Conference Proceeding Series, 18, 1-5
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ICCA Combating Antisemitism, 'Task force on internet hate: Report and recommendations of the co-chairs' (2013)
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ICEEICT, 'Proceedings – 6th International Conference on Electrical Engineering and Information and Communication Technology, ICEEICT 2024' (2024), 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), Dhaka, Bangladesh, 23 May 2024
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Ieracitano, F., Balenzano, C., Girardi, S., Gemmano, C.G. & Comunello, F., 'Online Hate Speech as a Moral Issue: Exploring Moral Reasoning of Young Italian Users on Social Network Sites' (2023), Social Science Computer Review [online]
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Ilan, T. & Vilenchik, D., 'HARALD: Augmenting Hate Speech Data Sets with Real Data' (2022), Findings of the Association for Computational Linguistics: EMNLP 2022, pp. 2241-2248
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Ilma, R.A., Hadi, S. & Helen, A., 'Twitter’s Hate Speech Multi-label Classification Using Bidirectional Long Short-term Memory (BiLSTM) Method' (2021), 2021 International Conference on Artificial Intelligence and Big Data Analytics, ICAIBDA 2021, pp. 93-99
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Imaduddin, H., Kusumaningtias, L.A. & A'la, F.Y., 'Application of LSTM and GloVe Word Embedding for Hate Speech Detection in Indonesian Twitter Data' (2023), Ingenierie des Systemes d'Information, 28(4), pp. 1107–1112
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Imbwaga, J.L., Chittaragi, N.B., Koolagudi, S.G., 'Automatic hate speech detection in audio using machine learning algorithms' (2024), International Journal of Speech Technology [online]
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Imperato, C., Pagano, M &, Mancini, T., '“All Is Fair in… Meme!” How Heterosexual Users Perceive and React to Memes, News, and Posts Discriminating against Sexual Minorities' (2023), Social Sciences, 12(2), 74
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