Publications: 2023
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Alhejaili, R., Alsaeedi, A. & Yafooz, W.M.S., 'Detecting Hate Speech in Arabic Tweets During COVID-19 Using Machine Learning Approaches' (2023), Lecture Notes in Networks and Systems, 479, pp. 467-475
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Ali, H.Z. & Rashid, A., 'Anti-social Behavior Detection using Multi-lingual Model' (2023), 2023 4th International Conference on Advancements in Computational Sciences, ICACS 2023 – Proceedings
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Ali, M., Hassan, M., Kifayat, K., Kim, J.Y., Hakak, S. & Khan, M.K., 'Social media content classification and community detection using deep learning and graph analytics' (2023), Technological Forecasting and Social Change, 188, 122252
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Aljasir, S., 'Effect of online civic intervention and online disinhibition on online hate speech among digital media users' (2023), Online Journal of Communication and Media Technologies, 13(4), e202344
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Alkiviadou, N., 'Speech that Isn’t Mine: Obligations Under the European Court of Human Rights' (2023), International Journal for the Semiotics of Law [online]
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Allen, C., 'Everyday experiences of Islamophobia in university spaces: A qualitative study in the United Kingdom' (2023), Education, Citizenship and Social Justice [online]
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Almaliki, M., 'Cyberhate Dissemination: A Systematic Literature Map' (2023), IEEE Access, 11, pp. 117385–117392
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Almaliki, M., Almars, A.M., Gad, I. & Atlam, E.-S., 'ABMM: Arabic BERT-Mini Model for Hate-Speech Detection on Social Media' (2023), Electronics (Switzerland), 12(4), 1048
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Almazroi, A.A., Shah, A.A. & Mohammed, F., 'Social Media and Online Islamophobia: A Hate Behavior Detection Model' (2023), International Journal of Engineering Trends and Technology, 71(11), pp. 27–32
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Alqahtani, A.F. & Ilyas, M., 'Using Deep Learning LSTM and CNN with Word Embedding for the Detection of Offensive Text on Twitter' (2023), Proceedings ICSIT, International Conference on Society and Information Technologies, 2023-March, pp. 86–91
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Alrashidi, B., Jamal, A. & Alkhathlan, A., 'Abusive Content Detection in Arabic Tweets Using Multi-Task Learning and Transformer-Based Models' (2023), Applied Sciences (Switzerland), 13(10), 5825
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Alsagheer, D., Mansourifar, H. & Shi, W., 'Statistical Analysis of Counter-Hate Speech on Voice-based Social Media' (2023), Procedia Computer Science, 220, pp. 1009–1014
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Alsamman, A., Schmitz, A. & Wimmer, M.A., 'Towards an Organically Growing Hate Speech Dataset in Hate Speech Detection Systems in a Smart Mobility Application' (2023), ACM International Conference Proceeding Series, pp. 36–43
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Álvarez-Benjumea, A., 'Uncovering hidden opinions: social norms and the expression of xenophobic attitudes' (2023), European Sociological Review, 39(3), pp. 449-463
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Amer Hamzah, N. & Dhannoon, D.B.N., 'Detecting Arabic sexual harassment using bidirectional long-short-term memory and a temporal convolutional network' (2023), Egyptian Informatics Journal, 24(2), pp. 365-373
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Ammar Aouchiche, I.R., Boumahdi, F., Madani, A. & Remmide, M.A., 'Hate Speech Prediction on Social Media' (2023), SN Computer Science, 4(3), 229
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Amro, F. & Purohit, H., 'User Identity Modeling to Characterize Communication Patterns of Domestic Extremists Behavior on Social Media' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14161 LNCS, pp. 219–230
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Anantha Babu, S., John Basha, M., Arvind, K.S. & Sivakumar, N., 'Analysis of Hate Tweets Using CBOW-based Optimization Word Embedding Methods Using Deep Neural Networks' (2023), Lecture Notes on Data Engineering and Communications Technologies, 163, pp. 373–385
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Ang, D., 'The Birth of a Nation: Media and Racial Hate' (2023), American Economic Review, 113(6), pp. 1424–1460
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Aniyar, D.C. & Cajas, K., 'The need to identify labeling sexual violence in social networks within the SIJ and Ecuador: Hater attacks as a criminal type of Health Care | La necesidad de identificar la violencia sexual etiquetante en las redes socials dentro del SIJ y Ecuador: Los ataques hater como tipo penal' (2023), Encuentros (Maracaibo), 18, pp. 31–49
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Anjum & Katarya, R., 'HateDetector: Multilingual technique for the analysis and detection of online hate speech in social networks' (2023), Multimedia Tools and Applications [online]
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Anjum & Katarya, R., 'Hate speech, toxicity detection in online social media: a recent survey of state of the art and opportunities' (2023), International Journal of Information Security [online]
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Ansari, G., Kaur, P. & Saxena, C., 'Data Augmentation for Improving Explainability of Hate Speech Detection' (2023), Arabian Journal for Science and Engineering [online]
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Antić, P., 'Sanctioning hate speech on the internet: In search of the best approach | SANKCIONISANJE GOVORA MRŽNJE NA INTERNETU: U POTRAZI ZA NAJBOLJIM PRISTUPOM' (2023), Pravni Zapisi, 14(1), pp. 74–100
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Antypas, D. & Camacho-Collados, J., 'Robust Hate Speech Detection in Social Media: A Cross-Dataset Empirical Evaluation' (2023), Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 231–242
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Aporbo, R.J., 'Sociopragmatic Analysis of Filipino Celebrities ‟Posts and Fans‟ Comments' (2023), World Journal of English Language, 13(5), pp. 544–558
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Aprin, F., Peters, P. & Hoppe, H.U., 'The effectiveness of a virtual learning companion for supporting the critical judgment of social media content' (2023), Education and Information Technologies [online]
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Arce-García, S. & Menéndez-Menéndez, M.-I., 'Inflaming public debate: a methodology to determine origin and characteristics of hate speech about sexual and gender diversity on Twitter' (2023), Profesional de la Informacion, 32(1), e320106
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Arce-García, S., Díaz-Campo, J. & Cambronero-Saiz, B., 'Online hate speech and emotions on Twitter: a case study of Greta Thunberg at the UN Climate Change Conference COP25 in 2019' (2023), Social Network Analysis and Mining, 13(1), 48
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Arenal Lora, L., 'Limitations and scope of the responsibility of internet service provider companies. Meta and incitement to genocide of Rohingya case | Limitaciones y alcance de la responsabilidad de las empresas proveedoras de servicios en el discurso de odio online. El caso de Meta en la incitación al genocidio rohingya' (2023), Cuadernos de Derecho Transnacional, 15(2), pp. 141–166
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Arhar Holdt, Š., Kosem, I., Pori, E., Gorjanc, V., Krek, S. & Gantar, P., 'Negative Vocabulary in the Thesaurus of Modern Slovene 2.0 | Negativno zaznamovano besedišče v Slovarju sopomenk sodobne slovenščine 2.0' (2023), Slovenscina 2.0, 11(1), pp. 8–32
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Arin, I., Işik, Z., Kutal, S., Dehghan, S., Özgür, A. & Yanikoǧlu, B., 'SIU2023-NST – Hate Speech Detection Contest | SIU2023-NST – Nefret Söylemi Tespit Yarişmasi' (2023), 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
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Arora, A., Nakov, P., Hardalov, M., Sarwar, S.M., Nayak V., Dinkov Y., Zlatkova D., Dent, K., Bhatawdekar, A., Bouchard, G. & Augenstein, I., 'Detecting Harmful Content on Online Platforms: What Platforms Need vs. Where Research Efforts Go' (2023), ACM Computing Surveys, 56(3), 72
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Arora, S. & Kumar, K.J. (Eds.), 'Media Narratives and the COVID-19 Pandemic: The Asian Experience' (2023), London: Routledge India
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Arshad, M.U., Ali, R., Beg, M.O. & Shahzad, W., 'UHated: hate speech detection in Urdu language using transfer learning' (2023), Language Resources and Evaluation [online]
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Ashish, Rani, A. & Shyan, H., 'A Comparative Study and Analysis on Toxic Comment Classification' (2023), International Conference on Sustainable Computing and Smart Systems, ICSCSS 2023 - Proceedings, pp. 783–787
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Ashwell, C. & Reilly, P., 'Resisting (everyday) racism on social media: Analysing responses to the 2018 Mary Beard Twitterstorm' (2023), in S. Poulakidakos, A. Veneti, & M. Rovisco (Eds.), Social Movements and Everyday Acts of Resistance: Solidarity in a Changing World (pp. 156–173), London: Routledge
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Astorino, A., Rizzi, G. & Fersini, E., 'Integrated Gradients as Proxy of Disagreement in Hateful Content' (2023), Proceedings of the 9th Italian Conference on Computational Linguistics (CLiC-it 2023)
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Atreya, A., Menezes, R.G. & Nepal, S., 'The tragic consequence of false honour: Understanding the phenomenon of “honour-killings” and its legal implications in Nepal' (2023), Medico-Legal Journal [online]
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Attanasio, G., Pastor, E., Di Bonaventura, C. & Nozza, D., 'ferret: a Framework for Benchmarking Explainers on Transformers' (2023), EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of System Demonstrations, pp. 256-266
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Auethavornpipat, R., 'Hate Speech and Discrimination as Mundane Violence against Rohingya Refugees during covid-19' (2023), Global Responsibility to Protect [online]
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Ava, L.T., Karim, A., Hassan, M.M., Faisal, F., Azam, S., Al Haque, A.S.M. & Zaman, S., 'Intelligent identification of hate speeches to address the increased rate of individual mental degeneration' (2023), Procedia Computer Science, 219, pp. 1527–1537
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Awal, M.R., Lee, R.K., Tanwar, E., Garg, T. & Chakraborty, T., 'Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection' (2023), IEEE Transactions on Computational Social Systems [online]
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Aziz, S., Sarfraz, M.S., Usman, M., Aftab, M.U. & Rauf, H.T., 'Geo-Spatial Mapping of Hate Speech Prediction in Roman Urdu' (2023), Mathematics, 11(4), 969
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Babakov, N., Logacheva, V. & Panchenko, A., 'Beyond plain toxic: building datasets for detection of flammable topics and inappropriate statements' (2023), Language Resources and Evaluation [online]
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Baboolal, A.A., '(Under)cover and Uncovered: Muslim Women’s Resistance to Islamophobic Violence' (2023), Victims and Offenders [online]
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Babu, N.V. & Grace Mary Kanaga, E., 'Multiclass Text Emotion Recognition in Social Media Data' (2023), Lecture Notes in Electrical Engineering, 997 LNEE, pp. 371–387
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Baby, A., Jose, J. & Raj, A., 'Psychosomatic Study of Criminal Inclinations with Profanity on Social Media: Twitter' (2023), Lecture Notes in Networks and Systems, 551, pp. 611-627
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Bacchus, E.C., D'Angelo, A.B. & Grov, C., 'Experiences of police-related stress among a U.S. national cohort of gay and bisexual men' (2023), American Journal of Community Psychology [online]
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Bacha, J., Ullah, F., Khan, J., Sardar, A.W. & Lee, S., 'A Deep Learning-Based Framework for Offensive Text Detection in Unstructured Data for Heterogeneous Social Media' (2023), IEEE Access, 11, pp. 124484–124498
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