Publications: Hate speech
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Kougia, V., Fetzel, S., Kirchmair, T., Çano, E., Baharlou, S.M., Sharifzadeh, S. & Roth, B., 'MemeGraphs: Linking Memes to Knowledge Graphs' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14187 LNCS, pp. 534–551
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Kousar, A., Ahmad, J., Ijaz, K., Yousef, A., Ahmed Shaikh, Z., Khosa, I., Chavali, D. & Anjum, M., 'MLHS-CGCapNet: A Lightweight Model for Multilingual Hate Speech Detection' (2024), IEEE Access, 12, pp. 106631–106644
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Koushik, G., Rajeswari, K. & Muthusamy, S.K., 'Automated Hate Speech Detection on Twitter' (2019), Proceedings - 2019 5th International Conference on Computing, Communication Control and Automation, ICCUBEA 2019, 9128428
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Kousika, N., Nanda Kumar, N., Baskaran, E., Abbenaya, M.S., Arthika, G. & Ashwanth, M., 'Enhancing Multimodal Sentiment Analysis with Deep Learning Techniques to Foster Emotional Intelligence' (2024), Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024, pp. 778–783
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Koutlis, C., Schinas, M. & Papadopoulos, S., 'MemeFier: Dual-stage Modality Fusion for Image Meme Classification' (2023), ICMR 2023 - Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, pp. 586–591
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Koutlis, C., Schinas, M. & Papadopoulos, S., 'MemeTector: enforcing deep focus for meme detection' (2023), International Journal of Multimedia Information Retrieval, 12(1), 11
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Kovacs, E.-R., Cotfas, L.-A. & Delcea, C., 'From Unhealthy Online Conversation to Political Violence: The Case of the January 6th Events at the Capitol' (2022), Communications in Computer and Information Science, 1653 CCIS, pp. 3-15
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Kovács, G., Alonso, P., Saini, R. & Liwicki, M., 'Leveraging external resources for offensive content detection in social media' (2022), AI Communications, 35(2), pp. 87-109
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Kowert, R. & Crevoshay, E., 'Harassment of game makers: Prevalence and impact' (2023), F1000Research, 11, 1518
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Kowert, R., Kilmer, E. & Newhouse, A., 'Taking it to the extreme: prevalence and nature of extremist sentiment in games' (2024), Frontiers in Psychology, 15, 1410620
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Kralj Novak, P., Scantamburlo, T., Pelicon, A., Cinelli, M., Mozetič, I. & Zollo, F., 'Handling Disagreement in Hate Speech Modelling' (2022), Communications in Computer and Information Science, 1602 CCIS, pp. 681-695
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Kramer, M.H., 'Freedom of Expression as Self-Restraint' (2021), Oxford: Oxford University Press
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Kramer, M.H., 'Hate-Speech Bans are at Odds with Central Principles of Liberalism' (2024), Law and Philosophy [online]
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Krause, N., Wachs, S., Bilz, L. & Schubarth, W., '“An assessment that has to be made in seconds”. A qualitative study on reasons for missing interventions by educational school staff in hate speech among students. | „Eine Einschätzung, die in Sekunden passieren muss“. Eine qualitative Studie zu Gründen für ausbleibende Interventionen durch das pädagogische Schulpersonal bei Hatespeech unter Schüler:innen' (2023), Zeitschrift fur Erziehungswissenschaft [online]
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Kravchenko, M., 'Russian anti-extremism legislation and internet censorship' (2019), Soviet and Post Soviet Review, 46(2), pp. 158-186
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Krejčová, E., 'Have we lost freedom of speech?' (2018), Balkanistic Forum, 1, pp.285-294
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Krisdianto, R., Apriani, I., Halim, P.M., Anggreainy, M.S. & Kurniawan, A., 'An Analysis of Hate Speech Detection Techniques' (2023), 4th International Conference on Artificial Intelligence and Data Sciences: Discovering Technological Advancement in Artificial Intelligence and Data Science, AiDAS 2023 - Proceedings, pp. 91–96
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Krishnappa, P., Ahmed, T., Abduraufov, O., Mukherjee, T., Fan, X. & Chellappan, S., 'Demo: SensiTrain: A Crowd Supported Platform to Understand Context and Improve Sensitivity in Online Communication' (2024), COMPASS 2024 - Proceedings of the ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, pp. 307–310
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Kruk, J., Marchini, M., Magu, R., Ziems, C., Muchlinski, D. & Yang, D., 'Silent Signals, Loud Impact: LLMs for Word-Sense Disambiguation of Coded Dog Whistles' (2024), Proceedings of the Annual Meeting of the Association for Computational Linguistics, 1, pp. 12493–12509
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Krupalija, E., Donko, D. & Supic, H., 'Usage of user hate speech index for improving hate speech detection in Twitter posts' (2022), 2022 28th International Conference on Information, Communication and Automation Technologies, ICAT 2022 – Proceedings
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Krylova-Grek, Y., 'Psycholinguistic Approach to the Analysis of Manipulative and Indirect Hate Speech in Media | [Психолінгвістичний підхід до аналізу маніпулятивної та прихованої мови ворожнечі в медіа.]' (2022), East European Journal of Psycholinguistics, 9(2), pp. 82-97
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Krylova-Grek, Y. & Burov, O., 'A content analysis software system for efficient monitoring and detection of hate speech in online media' (2024), CEUR Workshop Proceedings, 3679, pp. 224–233
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Krylova-Grek, Y. & Siedova, I. (Eds.), 'Hate Speech in Online Media Publicizing Events in Crimea: A Data Analysis Report on Hate Speech Spread Situation in Russian Language Online Media Communicating the Armed Ukraine – Russia Conflict on a Regular Base' (2022), Kyiv: Crimean Human Rights Group
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Ku, L.-W., Martins, A. & Srikumar, V. (Eds.), 'Findings of the Association for Computational Linguistics ACL 2024' (2024), Association for Computational Linguistics
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Kubota, R. & Motha, S. (Eds.), 'Race, Racism, and Antiracism in Language Education' (2024), New York: Routledge
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Kuchczyński, M., Pawlicka, A., Pawlicki, M. & Choraś, M., 'Using Machine Learning to Detect the Signs of Radicalization and Hate Speech on Twitter' (2022), Lecture Notes in Networks and Systems, 255, pp. 210-218
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Kučiš, V. & Gušić, D.K., 'Hate speech as part of contemporary public discourse and possible solutions to support public administration: European parliament elections in Croatia' (2021), Lex Localis, 19(1), pp. 197-216
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Kuhn, P.Y., '‘Reforming the Approach to Racial and Religious Hate Speech under Article 10 of the European Convention on Human Rights’' (2019), Human Rights Law Review, 19(1), pp. 119-147
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Kulenović, E., 'Should Democracies Ban Hate Speech? Hate Speech Laws and Counterspeech' (2022), Ethical Theory and Moral Practice [online]
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Kuljiš, M.B., 'John Rawls and the Freedom of Political Speech Case Trump vs. Twitter | John Rawls i sloboda političkog govora Slučaj Trump vs. Twitter' (2023), Filozofska Istrazivanja, 43(3), pp. 509–528
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Kulkarni, A., Masud, S., Goyal, V. & Chakraborty, T., 'Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment' (2023), Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2023, pp. 4333–4345
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Kulkarni, H., Kulkarni, P., Khandate, V., Lohkare, C. & Dhore, M., 'Online Hate Classifier For Social Media Platform' (2022), 2022 6th International Conference on Computing, Communication, Control and Automation, ICCUBEA 2022
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Kumar, A., 'A Study: Hate Speech and Offensive Language Detection in Textual Data by Using RNN, CNN, LSTM and BERT Model' (2022), Proceedings - 2022 6th International Conference on Intelligent Computing and Control Systems, ICICCS 2022
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Kumar Kaliyar, R., Goswami, A., Sharma, U., Kanojia, K. & Agrawal, M., 'HSDH: Detection of Hate Speech on social media with an effective deep neural network for code-mixed Hinglish data' (2023), 2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023
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Kumar Soni, H., Sharma, S., & Sinha, G.R. (Eds.), 'Text and Social Media Analytics for Fake News and Hate Speech Detection' (2024), New York: Chapman and Hall/CRC
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Kumar, A., 'A Novel Feature Extraction Classifier for Hateful, Offense, and Neutral Content on X' (2024), SSRG International Journal of Electronics and Communication Engineering, 11(12), pp. 164–170
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Kumar, A. & Kumar, S., 'NDDSM: Novel Deep Decision-Support Model for Hate Speech Detection' (2024), SN Computer Science, 5(1), 67
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Kumar, A. & Kumar, S., 'Hate Speech Detection in Multi-social Media Using Deep Learning' (2023), Communications in Computer and Information Science, 1920, pp. 59–70
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Kumar, A. & Kumar, S., 'Optimized Deep Neural Networks Using Sparrow Search Algorithms for Hate Speech Detection' (2024), International Journal of Computing and Digital Systems, 15(1), pp. 617–626
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Kumar, A. & Maurya, M.K., 'Online Public Sphere and Threats of Disinformation, Extremism and Hate Speech: Reflections on Threat-Mitigation' (2024), Journal of Communication Inquiry [online]
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Kumar, A., Kumar, S., Passi, K. & Mahanti, A., 'A Hybrid Deep BiLSTM-CNN for Hate Speech Detection in Multi-social media' (2024), ACM Transactions on Asian and Low-Resource Language Information Processing, 23(8), 127
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Kumar, A., Sharma, R. & Bedi, P., 'Towards Optimal NLP Solutions: Analyzing GPT and LLaMA-2 Models Across Model Scale, Dataset Size, and Task Diversity' (2024), Engineering, Technology and Applied Science Research, 14(3), pp. 14219–14224
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Kumar, A., Tyagi, V. & Das, S., 'Deep Learning for Hate Speech Detection in Social Media' (2021), 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies, GUCON 2021
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Kumar, A.M. & Gupta, S., 'Governance of Social Media Platforms: A Literature Review' (2023), Pacific Asia Journal of the Association for Information Systems, 15(1), pp. 56–86
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Kumar, B.V.P. & Sadanandam, M., 'A Fusion Architecture of BERT and RoBERTa for Enhanced Performance of Sentiment Analysis of Social Media Platforms' (2024), International Journal of Computing and Digital Systems, 15(1), pp. 51–66
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Kumar, D., Hancock, J., Thomas, K. & Durumeric, Z., 'Understanding the Behaviors of Toxic Accounts on Reddit' (2023), ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023, pp. 2797-2807
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Kumar, D., Kumar, N. & Mishra, S., 'QUARC: Quaternion multi-modal fusion architecture for hate speech classification' (2021), Proceedings - 2021 IEEE International Conference on Big Data and Smart Computing, BigComp 2021, 9373102, pp. 346-349
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Kumar, G. & Singh, J.P., 'Bias mitigation in text classification through cGAN and LLMs' (2024), Proceedings of the Indian National Science Academy, 102387
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Kumar, G. & Singh, J.P., 'Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages using Machine Learning Models' (2022), CEUR Workshop Proceedings, 3395, pp. 542-551
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Kumar, G., Singh, J.P. & Kumar, A., 'A Deep Multi-modal Neural Network for the Identification of Hate Speech from Social Media' (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12896 LNCS, pp. 670-680
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