Publications: Hate speech

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Jahan, Md.S., Oussalah, M. & Arhab, N., 'Finnish Hate-Speech Detection on Social Media Using CNN and FinBERT' (2022), 2022 Language Resources and Evaluation Conference, LREC 2022, pp. 876-882
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Jaimes, F.J., 'Influenced speech: machine learning and hate speech | Discurso influenciado: aprendizaje automático y discurso de odio' (2023), Daimon, (90), pp. 45–61
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Jain, A. & Sharma, S., 'GUI: An Interface for Hate Speech Detection using NLP Technique' (2023), Proceedings of the 2023 2nd International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2023, pp. 1144–1148
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Jain, A. & Sharma, S., 'A Survey on Identification of Hate Speech on Social Media Post' (2022), ICAN 2022 - 3rd International Conference on Computing, Analytics and Networks – Proceedings
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Jain, A. & Sharma, S., 'Deep learning models used for accuracy and loss detection on twitter dataset by setting tuning parameters' (2023), Journal of Intelligent and Fuzzy Systems, 44(5), pp. 8329–8341
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Jain, D., Arora, S., Jha, C.K. & Malik, G., 'Transformer-based models for hate speech classification' (2024), AIP Conference Proceedings, 3072(1), 020017
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Jain, L., Sharma, M. & Abdulsada, Z.R., 'Offensive Tweets Detection in Hinglish Using HingBERT' (2024), Lecture Notes in Networks and Systems, 786, pp. 93–103
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Jain, M., Goel, P., Singla, P. & Tehlan, R., 'Comparison of various word embeddings for hate-speech detection' (2021), Lecture Notes on Data Engineering and Communications Technologies, 54, pp. 251-265
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Jain, M.K., Gopalani, D. & Meena, Y.K., 'ConFake: fake news identification using content based features' (2023), Multimedia Tools and Applications [online]
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Jain, N., Hegde, A., Jain, A., Joshi, A. & Madake, J., 'Pseudo-conventional Approach for Cyberbullying and Hate-speech detection' (2021), 2021 7th IEEE International Conference on Advances in Computing, Communication and Control, ICAC3 2021
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Jain, R., Maity, K., Jha, P. & Saha, S., 'Generative Models vs Discriminative Models: Which Performs Better in Detecting Cyberbullying in Memes?' (2023), Proceedings of the International Joint Conference on Neural Networks, 2023
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Jain, V., Kumar, V., Pal, V. & Vishwakarma, D.K., 'Detection of Cyberbullying on Social Media Using Machine learning' (2021), Proceedings - 5th International Conference on Computing Methodologies and Communication, ICCMC 2021, 9418254, pp. 1091-1096
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Jalušič, V., 'Racism, ideology and hate: An attempt of understanding contemporary racism in EU anti-racist policies, through a thesis on racism without race' (2017), Rasizem, ideologija in sovraštvo
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Jamil, R., Khan, M.A.A.N. & Anwar, M.M., 'Topic Oriented Hate Speech Detection' (2022), Lecture Notes in Networks and Systems, 420 LNNS, pp. 365-375
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Jamil, S. & Alazrak, N., 'Media and Information Literacy Education: Exploring the gaps in curriculum development at the Egyptian universities' (2023), World of Media, 2023(3), pp. 5–24
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Janardhan, G., Saikiran, B., Reddy, I. & Abhishek, M., 'Twitter Hate Speech Detection using Machine Learning' (2024), Proceedings - 2024 4th International Conference on Pervasive Computing and Social Networking, ICPCSN 2024, pp. 270–278
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Jang, S.H., Youm, S. & Yi, Y.J., 'Anti-Asian Discourse in Quora: Comparison of Before and During the COVID-19 Pandemic with Machine- and Deep-Learning Approaches' (2022), Race and Justice [online]
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Jani, B. & Mathur, S., 'Effect on Emotions on Speaker Profiling in Cases of Hate Speeches' (2020), Journal of Punjab Academy of Forensic Medicine and Toxicology, 20(1), pp. 120-125
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Janicki, K., 'Communication, Meaning and Misconceptions: How to Help, Heal and Hurt with Language' (2024), Cham: Palgrave Macmillan
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Jaradat, A.A., Al Hammouri, R.N., Bani-Khair, B., Zuraiq, W.M.S., Abu-Joudeh, M.I.M. & Al-Momani, H., 'Hate Speech in Bumper Stickers in Jordan' (2023), Theory and Practice in Language Studies, 13(2), pp. 353-361
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Jardina, A. & Piston, S., 'Trickle-down racism: Trump’s effect on whites’ racist dehumanizing attitudes' (2023), Current Research in Ecological and Social Psychology, 5, 100158
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Jaron Bedrosova, M., Dufkova, E., Machackova, H., Huang, Y. & Blaya, C., 'Bias-Based Cyberaggression Related To Origin, Religion, Sexual Orientation, Gender, and Weight: Systematic Review of Young People’s Experiences, Risk and Protective Factors, and the Consequences' (2024), Trauma, Violence, and Abuse [online]
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Jasinskaja-Lahti, I., Szebeni, Z., Birman, D., Mitikka, E. & Renvik, T.A., 'Diasporas during conflict: A mixed-method analysis of attitudes of the Russian-speaking community in Finland towards the Russia-Ukraine war' (2024), Journal of Community and Applied Social Psychology, 34(4), e2824
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Jaswanth, Y., Kumar, R.M.S., Sudhan, R.M., Vijaya Kumar, S. & Rajagopalam, D., 'Sentiment analysis using logistic regression algorithm' (2020), European Journal of Molecular and Clinical Medicine, 7(4), pp. 2081-2086
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Jaszczyk-Grzyb, M., Szczepaniak-Kozak, A. & Adamczak-Krysztofowicz, S., 'A corpus-assisted critical discourse analysis of hate speech in German and Polish social media posts' (2023), Moderna Sprak, 117(1), pp. 44–71
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Jawale, S. & Sawarkar, S.D., 'A Novel Deep Learning Language Model with Hybrid-GFX Embedding and Hyperband Search for Opinion Analysis' (2023), SN Computer Science, 4(6), 759
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Jay, T.B., 'Hurtful words and hate speech' (2023), in G.L. Schiewer, J. Altarriba & B.C. Ng (Eds.) Language and Emotion: An International Handbook (Volume 3) (pp. 1794-1815), Berlin: De Gruyter Mouton
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Jayapriya, P., Kishore Vel, I.V., Kishore, P., Logesh Krishna, M.R. & Naveen Raja, S., 'Hate Speech Detection Using Support Vector Machine (SVM)' (2024), 10th International Conference on Advanced Computing and Communication Systems, ICACCS 2024, pp. 2421–2424
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Jędryczka, W., Sorokowski, P. & Dobrowolska, M., 'The Role of Victim’s Resilience and Self-Esteem in Experiencing Internet Hate' (2022), International Journal of Environmental Research and Public Health, 19(20), 13149
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Jemima, P.P., Majumder, B.R., Ghosh, B.K. & Hoda, F., 'Hate Speech Detection using Machine Learning' (2022), 7th International Conference on Communication and Electronics Systems, ICCES 2022 – Proceedings, pp. 1274-1277
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Jennison, R.S., 'In/Visible—New Directions in Contemporary Art by Zainichi Koreans: Fragile Frames/ Precarious Lives—in Soni Kum’s Morning Dew (2020)' (2025), Seoul Journal of Korean Studies, 36(2), pp. 465–483
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Jeremy, A., 'Practical implications for the enactment of the Racial and Religious Hatred Act 2006' (2007), Ecclesiastical Law Journal, 9(2), pp.187-201
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Jeung, R., 'Anti-Asian Hate in the United States during the COVID-19 Pandemic' (2024), Journal of Chinese Overseas, 20(1), pp. 24–41
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Jey, P.S., Hemmati, A., Toosi, R. & Akhaee, M.A., 'Hate Sentiment Recognition System for Persian Language' (2022), 2022 12th International Conference on Computer and Knowledge Engineering, ICCKE 2022, pp. 517-522
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Jeziński, M., 'Institutionalization of Hate Speech as a Daily Media Practice: The Case of “Wiadomości” TVP1' (2023), Journalism Practice [online]
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Jha, A., Jaiswal, A., Singh, A., Swain, S. & Aggarwal, E., 'Comparative Analysis of Machine-Learning and Deep Learning Algorithms Using Manta Ray Foraging Optimization for the Detection of Hate Speech' (2024), Lecture Notes in Networks and Systems, 1085 LNNS, pp. 241–252
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Jhaver, S. & Zhang, A.X., 'Do users want platform moderation or individual control? Examining the role of third-person effects and free speech support in shaping moderation preferences' (2023), New Media and Society [online]
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Ji, J., Ren, W. & Naseem, U., 'Identifying Creative Harmful Memes via Prompt based Approach' (2023), ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023, pp. 3868-3872
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Jia, B., Dzitac, D., Shrestha, S., Turdaliev, K. & Seidaliev, N., 'An Ensemble Machine Learning Approach to Understanding the Effect of a Global Pandemic on Twitter Users’ Attitudes' (2021), International Journal of Computers, Communications and Control, 16(2), pp. 1-11
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Jiang, A. & Zubiaga, A., 'Cross-lingual Capsule Network for Hate Speech Detection in Social Media' (2021), HT 2021 - Proceedings of the 32nd ACM Conference on Hypertext and Social Media, pp. 217-223
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Jiang, A., Yang, X., Liu, Y. & Zubiaga, A., 'SWSR: A Chinese dataset and lexicon for online sexism detection' (2022), Online Social Networks and Media, 27, 100182
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Jiang, L. & Suzuki, Y., 'Detecting Hate Speech from Tweets for Sentiment Analysis' (2019), 2019 6th International Conference on Systems and Informatics, ICSAI 2019, 9010578, pp. 671-676
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Jiang, S., Robertson, R.E., Wilson, C., 'Bias Misperceived: The Role of Partisanship and Misinformation in YouTube Comment Moderation' (2019), Proceedings of the 13th International Conference on Web and Social Media, ICWSM 2019, pp. 278-289
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Jiang, Y., Zhou, B., Zhao, X., Zou, J., Xie, F. & Li, L., 'Domain-adaptive Graph based on Post-hoc Explanation for Cross-domain Hate Speech Detection' (2022), Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, 2022-October, pp. 1271-1276
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Jikeli, G. & Soemer, K., 'The value of manual annotation in assessing trends of hate speech on social media: was antisemitism on the rise during the tumultuous weeks of Elon Musk’s Twitter takeover?' (2023), Journal of Computational Social Science [online]
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Jikeli, G., Axelrod, D., Fischer, R.K., Forouzesh, E., Jeong, W., Miehling, D. & Soemer, K., 'Differences between antisemitic and non-antisemitic English language tweets' (2022), Computational and Mathematical Organization Theory [online]
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Jikeli, G., Soemer, K. & Karali, S., 'Annotating live messages on social media. Testing the efficiency of the AnnotHate – live data annotation portal' (2024), Journal of Computational Social Science [online]
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Jiménez-Díaz, O., Wachs, S., Del Rey, R. & Mora-Merchán, J.A., 'Associations Between Searching and Sending Cyberhate: The Moderating Role of the Need of Online Popularity and Toxic Online Disinhibition' (2024), Cyberpsychology, Behavior, and Social Networking [online]
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Jiménez-Zafra, S.M., Chiruzzo, L., Rangel, F., Balouchzahi, F., Corrêa, U.B., Bonet Jover, A., Gómez-Adorno, H., González Barba, J. Á., Irazú Hernández Farı́as, D., Montejo Ráez, A., Moral, P., Rodríguez Abellán, C., Estrella Vallecillo Rodríguez, M., Taulé, M. & Valencia-García, R. (Eds.), 'Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2024)' (2024), Iberian Languages Evaluation Forum (IberLEF 2024) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2024), Valladolid, Spain (24 September)
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Jiménez-Zafra, S.M., García-Cumbreras, M.Á., García-Baena, D., García-Díaz J.A., Chakravarthi, B.R., Valencia-García, R. & Ureña-López, L.A., 'Overview of HOPE at IberLEF 2023: Multilingual Hope Speech Detection | Resumen de la tarea HOPE en IberLEF 2023: Detección Multilingüe de Discurso Esperanzador' (2023), Procesamiento del Lenguaje Natural, (71), pp. 371–381
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