Publications: D
Dutta, S., Caur, S., Chakrabarti, S. & Chakraborty, T., 'Semi-supervised stance detection of tweets via distant network supervision' (2022), WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining, pp. 241-251
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Duwairi, R., Hayajneh, A. & Quwaider, M., 'A Deep Learning Framework for Automatic Detection of Hate Speech Embedded in Arabic Tweets' (2021), Arabian Journal for Science and Engineering [online]
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Dwivedy, V. & Roy, P.K., 'Deep feature fusion for hate speech detection: a transfer learning approach' (2023), Multimedia Tools and Applications [online]
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Døving, C.A. & Emberland, T., 'Bringing the enemy closer to home: ‘conspiracy talk’ and the Norwegian far right' (2021), Patterns of Prejudice, 55(4), pp. 375-390
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D’Sa, A.G., Illina, I., Fohr, D. & Akbar, A., 'Exploration of Multi-corpus Learning for Hate Speech Classification in Low Resource Scenarios' (2022), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13502 LNAI, pp. 238-250
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D’Sa, A.G., Illina, I., Fohr, D., Klakow, D. & Ruiter, D., 'Exploring Conditional Language Model Based Data Augmentation Approaches for Hate Speech Classification' (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12848 LNAI, pp. 135-146
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D’Souza, T., Griffin, L., Shackleton, N. & Walt, D. , '‘Harming women with words: The failure of Australian law to prohibit gendered hate speech’' (2018), University of New South Wales Law Journal, 41(3), pp. 939-976
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