Publications: Hate speech
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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., '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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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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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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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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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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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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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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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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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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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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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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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., 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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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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Aggarwal, P., Chawla, P., Das, M., Saha, P., Mathew, B., Zesch, T. & Mukherjee, A., 'HateProof: Are Hateful Meme Detection Systems Really Robust?' (2023), ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023, pp. 3734-3743
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Agrawal, T. & Chakravarthy, V.D., 'Cyberbullying Detection and Hate Speech Identification using Machine Learning Techniques' (2022), Proceedings - 2022 2nd International Conference on Interdisciplinary Cyber Physical Systems, ICPS 2022, pp. 182-187
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Agudelo, F.I. & Olbrych, N., 'It’s Not How You Say It, It’s What You Say: Ambient Digital Racism and Racial Narratives on Twitter' (2022), Social Media and Society, 8(3)
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Aguerri, J.C. & Miró-Llinares, F., 'Offensive and hateful communication or programmed disinformation? An analysis of the characteristics and discourse of the #ExposeBillGates conspiracy event | ¿Comunicación ofensiva y de odio o desinformación programada? Un análisis de las características y discurso del evento conspiranoico #ExposeBillGates' (2023), Revista de Internet, Derecho y Politica, (37)
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Aguerri, J.C., Santisteban, M. & Miró-Llinares, F., 'The Enemy Hates Best? Toxicity in League of Legends and Its Content Moderation Implications' (2023), European Journal on Criminal Policy and Research [online]
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Aguilar, H.G., 'The political hate speech in the last Peruvian presidential election: An analysis from critical discourse approaches | [El discurso político del odio en las últimas elecciones presidenciales de Perú: Un análisis desde los planteamientos del discurso crítico]' (2023), VISUAL Review. International Visual Culture Review / Revista Internacional de Cultura, 10
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Ahmad, Z., Sujeeth, V.S. & Ekbal, A., 'Zero-Shot Hate to Non-Hate Text Conversion Using Lexical Constraints' (2022), IEEE Transactions on Computational Social Systems [online]
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Ahmed, I., Abbas, M., Hatem, R., Ihab, A. & Fahkr, M.W., 'Fine-Tuning Arabic Pre-Trained Transformer Models for Egyptian-Arabic Dialect Offensive Language and Hate Speech Detection and Classification' (2022), Proceedings of the 20th Conference on Language Engineering, ESOLEC 2022, pp. 170-174
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Ahmed, U. & Lin, J.C., 'Deep Explainable Hate Speech Active Learning on Social-Media Data' (2022), IEEE Transactions on Computational Social Systems [online]
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Ahmed, Z., Vidgen, B. & Hale, S.A., 'Tackling racial bias in automated online hate detection: Towards fair and accurate detection of hateful users with geometric deep learning' (2022), EPJ Data Science, 11(1), 8
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Ahn, J.-H. & Park, H., 'Dealing With Hate Speech: Voices From Young Koreans Living in Japan' (2019), Asian Journal of Social Science, 47(6), pp. 677-700
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Ahn, S., Baik, J. & Krause, C.S., 'Splintering and centralizing platform governance: how Facebook adapted its content moderation practices to the political and legal contexts in the United States, Germany, and South Korea' (2022), Information Communication and Society [online]
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Ajani, S.Y., Arikewuyo, A.K., Lukuman, A.A., Muhammad A.R., Imam O.A., Mahamood A.F., Manaf, A.R.A. & Hassan, J., 'Influence of hate speech messages on voters’ choice of candidate in Kwara State 2019 gubernatorial election' (2021), AIP Conference Proceedings, 2347,020041
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Akhilesh Naidu, T. & Kumar, S., 'Impact of Deep Learning Models on Hate Speech Detection' (2021), 2021 12th International Conference on Computing Communication and Networking Technologies, ICCCNT 2021
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Akhtar, S., Basile, V. & Patti, V., 'A New Measure of Polarization in the Annotation of Hate Speech' (2019), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11946 LNAI, pp. 588-603
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Akram, M.H., Shahzad, K. & Bashir, M., 'ISE-Hate: A benchmark corpus for inter-faith, sectarian, and ethnic hatred detection on social media in Urdu' (2023), Information Processing and Management, 60(3), 103270
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Akrivopoulou, C.M., 'Dignity as the ultimate boundary to the freedom of speech: An account of Jeremy Waldron’s “harm in hate speech” argument' (2014), Human Rights and Ethics: Concepts, Methodologies, Tools and Applications, 4(99), pp.1805-1810
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Akter, M.S., Shahriar, H., Ahmed, N. & Cuzzocrea, A., 'Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Data' (2022), Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022, pp. 5646-5655
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Akuma, S., Lubem, T. & Adom, I.T., 'Comparing Bag of Words and TF-IDF with different models for hate speech detection from live tweets' (2022), International Journal of Information Technology (Singapore) [online]
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Al Serhan, F. & Elareshi, M., 'University Students’ Awareness of Social Media Use and Hate Speech in Jordan' (2019), International Journal of Cyber Criminology, 13(2), pp. 548-563
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Al-Dabet, S., Elmassry, A., Alomar, B. & Alshamsi, A., 'Transformer-based Arabic Offensive Speech Detection' (2023), 2023 International Conference on Emerging Smart Computing and Informatics, ESCI 2023
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Al-Dala’in, T. & Zhao, J.H.S., 'Overview of the Benefits Deep Learning Can Provide Against Fake News, Cyberbullying and Hate Speech' (2023), Lecture Notes in Networks and Systems, 721 LNNS, pp. 13–27
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Al-Harigy, L.M., Al-Nuaim, H.A., Moradpoor, N. & Tan, Z., 'Building towards Automated Cyberbullying Detection: A Comparative Analysis' (2022), Computational Intelligence and Neuroscience, 2022, 4794227
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Al-Hassan, A. & Al-Dossari, H., 'Detection of hate speech in Arabic Tweets using deep learning' (2021), Multimedia Systems [online]
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