Publications: Cyber hate (online hate crime)
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Alshamrani, S., Abusnaina, A., Abuhamad, M., Nyang, D. & Mohaisen, D., 'Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube' (2021), The Web Conference 2021 - Companion of the World Wide Web Conference, WWW 2021, pp. 508-515
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Alsmadi, I., Ahmad, K., Nazzal, M., Alam, F., Al-Fuqaha, A., Khreishah, A. & Algosaibi, A., 'Adversarial NLP for Social Network Applications: Attacks, Defenses, and Research Directions' (2022), IEEE Transactions on Computational Social Systems [online]
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Altinel, A.B., Baydogmus, G.K., Sahin, S. & Gurbuz, M.Z., 'So-haTRed: A Novel Hybrid System for Turkish Hate Speech Detection in Social Media With Ensemble Deep Learning Improved by BERT and Clustered-Graph Networks' (2024), IEEE Access, 12, pp. 86252–86270
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Aluru, S.S., Mathew, B., Saha, P. & Mukherjee, A., 'A Deep Dive into Multilingual Hate Speech Classification' (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12461 LNAI, pp. 423-439
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Alvarez-Benjumea & A., Winter, F., 'The Breakdown of Antiracist Norms: A Natural Experiment on Hate Speech After Terrorist Attacks' (2020), Proceedings of the National Academy of Sciences of the United States of America, 117(37), pp. 22800-22804
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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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Alzahrani, A.A., Bramantoro, A. & Permana, A., 'Multi-label text classification on unbalanced Twitter with monolingual model and hyperparameter optimization for hate speech and abusive language detection' (2024), International Journal of Advanced and Applied Sciences, 11(5), pp. 177–185
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Alzamzami, F. & Saddik, A.E., 'Monitoring Cyber SentiHate Social Behavior during COVID-19 Pandemic in North America' (2021), IEEE Access, 9,9452177, pp. 91184-91208
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Alzu’bi, S., Ferreira, T.C., Pavanelli, L. & Al-Badrashiny, M., 'aiXplain at Arabic Hate Speech 2022: An Ensemble Based Approach to Detecting Offensive Tweets' (2022), 5th Workshop Open-Source Arabic Corpora and Processing Tools with Shared Tasks on Qur'an QA and Fine-Grained Hate Speech Detection, OSACT 2022 - Proceedings at Language Resources and Evaluation Conference, LREC 2022, pp. 214-217
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Amaral, I., Poleac, G. & Basílio-Simões, R., 'Technology gap and other tensions in social support and legal procedures: stakeholders’ perceptions of online violence against women during the Covid-19 pandemic' (2022), Profesional de la Informacion, 31(4), e310413
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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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Amrutha, B.R. & Bindu, K.R., 'Detecting Hate Speech in Tweets Using Different Deep Neural Network Architectures' (2019), 2019 International Conference on Intelligent Computing and Control Systems, ICCS 2019, 9065763, pp. 923-926
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Amyas, O.M. & Alam, M.D.N., 'Sentiment Analysis of Tweets Using Bi-Directional Long Short-Term Memory and Word Embeddings' (2024), Lecture Notes in Networks and Systems, 914 LNNS, pp. 75–83
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Anand, M. & Eswari, R., 'Classification of Abusive Comments in Social Media Using Deep Learning' (2019), Proceedings of the 3rd International Conference on Computing Methodologies and Communication, ICCMC 2019, pp. 974-977
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Anandhi, R.J., Anusuya Devi, V.S., Kiruthika Devi, B.S., Kavin, B.P. & Seng, G.H., 'CROA-based feature selection with BERT model for detecting the offensive speech in Twitter data' (2024), Journal of Autonomous Intelligence, 7(3), 1122
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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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Anbukkarasi, S. & Varadhaganapathy, S., 'Deep Learning-based Hate Speech Detection in Code-mixed Tamil Text' (2022), IETE Journal of Research [online]
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Andi, A.W., Slamet, C., Maylawati, D.S., Jumadi, J., Atmadja, A.R. & Ramdhani, M.A., 'Sentiment Analysis of State Capital Relocation of Indonesia using Convolutional Neural Network' (2022), 2022 IEEE 8th International Conference on Computing, Engineering and Design, ICCED 2022
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Andryan, Chandra, N., Pramunita, P.D.A., Parmonangan, I.H. & Diana, 'Hate Speech Detection in Indonesian Song Lyric Using BERT' (2023), 2023 IEEE 9th International Conference on Computing, Engineering and Design, ICCED 2023
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Anezi, F.Y.A., 'Arabic Hate Speech Detection Using Deep Recurrent Neural Networks' (2022), Applied Sciences (Switzerland), 12(12), 6010
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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., 'Exploring Bioinspired Feature Engineering Technique for Online Hate Speech Detection' (2022), 2022 International Conference for Advancement in Technology, ICONAT 2022
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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., 'Analysis of Online Toxicity Detection Using Machine Learning Approaches' (2022), Lecture Notes in Electrical Engineering, 836, pp. 381-392
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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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Anna, Yu.K., Sergey, A.K., Aleksei, O.S. & Alexander, D.V., 'An Online Scan of Extreme-Right Radicalization in Social Networks (The Case of the Russian Social Network VKontakte) | [Онлайн-сканирование ультраправой радикализации в социальных сетях (на примере российской социальной сети «ВКонтакте»)]' (2022), Journal of Siberian Federal University - Humanities and Social Sciences, 15(12), pp. 1738-1750
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Anning, S., Konstantinidis, G. & Webber, C., 'Social Science for Natural Language Processing: A Hostile Narrative Analysis Prototype' (2021), ACM International Conference Proceeding Series, pp. 102-111
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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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Antón, R.R. & Baptista, C., 'Journalists as Targets of Hate Speech from Iberian Radical Right on Twitter | [Los periodistas como objetivo de los discursos de odio de la derecha radical ibérica en Twitter]' (2022), IC Revista Cientifica de Informacion y Comunicacion, 19, pp. 619-646
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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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Anwar, S. & Giglietto, F., 'Facebook reactions in the context of politics and social issues: a systematic literature review' (2024), Frontiers in Sociology, 9, 1379265
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Aparicio, S., Aparicio, J.T. & Aparicio, M., 'Multidimensional and Multilingual Emotional Analysis' (2024), Lecture Notes in Networks and Systems, 802, pp. 13–22
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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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Aporna, A.A., Azad, I., Amlan, N.S., Mehedi, M.H.K., Mahbub, M.J.A. & Rasel, A.A., 'Classifying Offensive Speech of Bangla Text and Analysis Using Explainable AI' (2022), Communications in Computer and Information Science, 1613 CCIS, pp. 133-144
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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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Arango, A., 'Language Agnostic Hate Speech Detection' (2020), SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 2475
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Arango, A., Pérez, J. & Poblete, B., 'Hate Speech Detection Is Not as Easy as You May Think: A Closer Look at Model Validation (Extended Version)' (2020), Information Systems, 101584 [online]
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Arango, A., Perez-Martin, J. & Labrada, A., 'HateU at SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification' (2022), SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop, pp. 581-584
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Araque, O. & Iglesias, C.A., 'An Ensemble Method for Radicalization and Hate Speech Detection Online Empowered by Sentic Computing' (2021), Cognitive Computation [online]
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Araszkiewicz, M., Atzmueller, M., Nalepa, G.J., Verheij, B. & Bobek, S. (Eds.), 'XAILA@ICAIL 2021: eXplainable and Responsible AI and Law 2021 – Proceedings of 4th International Workshop on eXplainable and Responsible AI and Law (co-located with 18th International Conference on Artificial Intelligence and Law (ICAIL 2021)) (Virtual Event, Sao Paolo, Brazil, June 21, 2021)' (2022), CEUR Workshop Proceedings, 3168
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Arayankalam, J., Soral, P., Khan, A., Krishnan, S. & Bose, I., 'Does centralization of online content regulation affect political hate speech in a country? A public choice perspective' (2024), Information and Management, 61(2), 103919
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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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Arce-García, S., Said-Hung, E. & Montero-Díaz, J., 'Unmasking coordinated hate: Analysing hate speech on Spanish digital news media' (2024), New Media and Society [online]
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Arcila-Calderón, C., Amores, J.J., Sánchez-Holgado, P. & Blanco-Herrero, D., 'Using shallow and deep learning to automatically detect hate motivated by gender and sexual orientation on Twitter in Spanish' (2021), Multimodal Technologies and Interaction, 5(10), 63
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Arcila-Calderón, C., Amores, J.J., Sánchez-Holgado, P., Vrysis, L., Vryzas, N. & Oller Alonso, M., 'How to Detect Online Hate towards Migrants and Refugees? Developing and Evaluating a Classifier of Racist and Xenophobic Hate Speech Using Shallow and Deep Learning' (2022), Sustainability (Switzerland), 14(20), 13094
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Arcila-Calderón, C., Blanco-Herrero, D., Frías-Vázquez, M. & Seoane, F., 'Refugees welcome? Online hate speech and sentiments in Twitter in Spain during the reception of the boat Aquarius' (2021), Sustainability (Switzerland), 13(5), 2728, pp. 1-17
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