Publications: Cyber hate (online hate crime)
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Komamizu, T., 'Towards Ensemble-Based Imbalanced Text Classification Using Metric Learning' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14147 LNCS, pp. 188–202
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Kommu, A., Patel, S., Derosa, S., Wang, J. & Varde, A.S., 'HiSAT: Hierarchical Framework for Sentiment Analysis on Twitter Data' (2023), Lecture Notes in Networks and Systems, 542 LNNS, pp. 376-392
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Konikoff, D., 'Gatekeepers of toxicity: Reconceptualizing Twitter’s abuse and hate speech policies' (2021), Policy and Internet [online]
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Koo, G.H., Masullo, G.M., Orr, B. & Huang, E., '“What Flipping Right Does a Teacher Have to Say Being [LGBTQ+] is Okay?”: Understanding Twitter Discourse Around U.S. Anti-LGBTQIA+ Legislation' (2024), Howard Journal of Communications [online]
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Koo, J.-W., Suh, C.S., Chung, J.W., Sohn, K.-A. & Han, K., 'The hatred of all against all? Evidence from online community platforms in South Korea' (2024), PLoS ONE, 19(5 May), e0300530
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Kopytowska, M., 'Xenophobia, misogyny and rape culture: Targeting women in cyberspace' (2021), Journal of Language Aggression and Conflict, 9(1), pp. 76-99
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Kopytowska, M., Grabowski, L. & Wozniak, J., 'Mobilizing against the Other: Cyberhate, refugee crisis and proximization' (2017), in M. Kopytowska (Ed.), Contemporary discourses of hate and radicalism across space and genres. John Benjamins Publishing Company.
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Korpisaari, P., 'Sanchez v France: ECtHR judgment raises questions about politician’s liability to moderate his own Facebook ‘wall’' (2023), Journal of Media Law [online]
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Korpisaari, P., 'From Delfi to Sanchez–when can an online communication platform be responsible for third-party comments? An analysis of the practice of the ECtHR and some reflections on the Digital Services Act' (2022), Journal of Media Law [online]
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Korre, K., Pavlopoulos, J., Sorensen, J., Laugier, L., Androutsopolous, I., Dixon, L. & Barrón-Cedeño, A., 'Harmful Language Datasets: An Assessment of Robustness' (2023), Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 221–230
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Koshiry, A.M.E., Eliwa, E.H.I., Abd El-Hafeez, T. & Omar, A., 'Arabic Toxic Tweet Classification: Leveraging the AraBERT Model' (2023), Big Data and Cognitive Computing, 7(4), 170
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Kothuru, S. & Santhanavijayan, A., 'Automatic hate speech detection using aspect based feature extraction and Bi-LSTM model' (2022), International Journal of System Assurance Engineering and Management [online]
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Kotsakis, R., Vrysis, L., Vryzas, N., Saridou, T., Matsiola, M., Veglis, A. & Dimoulas, C., 'A web framework for information aggregation and management of multilingual hate speech' (2023), Heliyon, 9(5), e16084
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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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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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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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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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