Currently browsing: Items authored or edited by Joseph Kwarteng https://orcid.org/0000-0001-6576-5678

Kwarteng, Joseph (2024). Understanding Misogynoir Online: Challenges In Identifying Intersectional Hate. PhD thesis The Open University.

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Kwarteng, Joseph; Farrell, Tracie; Third, Aisling and Fernandez, Miriam (2023). Annotators’ Perspectives: Exploring the Influence of Identity on Interpreting Misogynoir. In: ASONAM 2023: The 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 6-9 Nov 2023, Kusadasi, Turkey.

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Reyero Lobo, Paula; Kwarteng, Joseph; Russo, Mayra; Fahimi, Miriam; Scott, Kristen; Ferrara, Antonio; Sen, Indira and Fernandez, Miriam (2023). A Multidisciplinary Lens of Bias in Hate Speech. In: The 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 6-9 Nov 2023, Kusadasi, Turkey.

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Kwarteng, Joseph; Farrell, Tracie; Third, Aisling; Burel, Gregoire and Fernandez, Miriam (2023). Understanding Misogynoir: A Study of Annotators’ Perspectives. In: 15th ACM Web Science Conference 2023 (WebSci ’23), Association for Computing Machinery, New York, NY, United States pp. 271–282.

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Reyero Lobo, Paula; Mensio, Martino; Pavon Perez, Angel; Bayer, Vaclav; Kwarteng, Joseph; Fernandez, Miriam; Daga, Enrico and Alani, Harith (2022). Estimating Ground Truth in a Low-labelled Data Regime: A Study of Racism Detection in Spanish. In: Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media.

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Kwarteng, Joseph; Coppolino Perfumi, Serena; Farrell, Tracie; Third, Aisling and Fernandez, Miriam (2022). Misogynoir: Challenges in Detecting Intersectional Hate. Social Network Analysis and Mining (SNAM), 12(1), article no. 166.

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Kwarteng, Joseph; Coppolino Perfumi, Serena; Farrell, Tracie and Fernandez, Miriam (2021). Misogynoir: Public Online Response Towards Self-Reported Misogynoir. In: ASONAM '21: Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Association for Computing Machinery, New York, NY, United States pp. 228–235.

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