Publications: Cyber hate (online hate crime)

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Kim, S. & Ryu, M.H., 'The characteristics of online gerontophobia expressions in South Korea' (2023), Frontiers in Psychology, 14, 1290443
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Kiran, A., Shetty, M., Shukla, S., Kerenalli, V. & Das, B., 'Getting Around the Semantics Challenge in Hateful Memes' (2023), Lecture Notes on Data Engineering and Communications Technologies, 142, pp. 341-351
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Kiritchenko, S., Curto, G., Nejadgholi, I. & Fraser, K.C., 'Aporophobia: An Overlooked Type of Toxic Language Targeting the Poor' (2023), Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 113–125
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Kiritchenko, S., Nejadgholi, I. & Fraser, K.C., 'Confronting abusive language online: A survey from the ethical and human rights perspective' (2021), Journal of Artificial Intelligence Research, 71, pp. 431-478
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Kirk, H.R., Birhane, A., Vidgen, B. & Derczynski, L., 'Handling and Presenting Harmful Text in NLP Research' (2022), Findings of the Association for Computational Linguistics: EMNLP 2022, pp. 497-510
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Kirk, H.R., Vidgen, B., Röttger, P., Thrush, T. & Hale, S.A., 'HATEMOJI: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-Based Hate' (2022), NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, pp. 1352-1368
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Kirk, R. & Schill, D., 'Sophisticated Hate Stratagems: Unpacking the Era of Distrust' (2021), American Behavioral Scientist [online]
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Klaßen, A. & Geschke, D., '#Hass im Netz: Wahrnehmung, Betroffenheit und Folgen Von Hate Speech im Internet Aus Sicht der Thüringer Bevölkerung. [#Online Hate: Perceptions, Who’s Affected, and Effects of Online Hate Speech, as Seen by the People of Thuringia.]' (2019), Jena [online]
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Klaus, S., Bartle, A.-S. & Rossmann, D., 'Svandiela @ HaSpeeDe: Detecting hate speech in Italian twitter data with BERT' (2020), CEUR Workshop Proceedings, 2765
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Klein, A., 'Social Networks and the Challenge of Hate Disguised as Fear and Politics' (2021), Journal for Deradicalization, (26), pp. 1-33
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Kleinberg, B., van der Vegt, I. & Gill, P., 'The temporal evolution of a far-right forum' (2021), Journal of Computational Social Science, 4(1)
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Klutse, E.K., Nuamah-Amoabeng, S., Lyu, H. & Luo, J., 'Dismantling Hate: Understanding Hate Speech Trends Against NBA Athletes' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14161 LNCS, pp. 74–84
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Ko, K., Burghardt, K. & Muric, G., 'Enter at Your Own Risk: The Impacts of Joining a Hateful Subreddit' (2021), Proceedings - 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2021, pp. 657-658
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Kocijan, K., Košković, L. & Bajac, P., 'Detecting Hate Speech Online: A Case of Croatian' (2020), Communications in Computer and Information Science, 1153 CCIS, pp. 185-197
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Kocoń, J., Figas, A., Gruza, M., Puchalska D., Kajdanowicz, T. & Kazienko, P., 'Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach' (2021), Information Processing and Management, 58(5), 102643
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Kohl, U., 'Islamophobia, “gross offensiveness” and the internet' (2018), Information & Communications Technology Law, 27(1), pp.111-131
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Kojan, L., Osmanbeyoglu, H.M., Burbach, L., Ziefle, M. & Calero Valdez, A., 'Defend Your Enemy. A Qualitative Study on Defending Political Opponents Against Hate Speech Online' (2020), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12259 LNCS, pp. 80-94
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Kokatnoor, S.A. & Krishnan, B., 'Twitter Hate Speech Detection using Stacked Weighted Ensemble (SWE) Model' (2020), Proceedings - 2020 5th International Conference on Research in Computational Intelligence and Communication Networks, ICRCICN 2020, 9296199, pp. 87-92
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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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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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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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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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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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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. & 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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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, 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., 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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