Open Research Online

Bakina, Ksenia and Pavon Perez, Angel (2025). Response to the College of Policing consultation on data ethics and data driven technologies authorised professional practices. Centre for Protecting Women Online.

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Thompson, Lucy; Frances, Tanya; Turley, Emma; Lazard, Lisa and Donnelly, Lois (2025). Conceptualizing and measuring violence: A feminist critical measurement analysis of gender-based violence research in a government policy-based setting. Violence Against Women (In press).

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Barker, Kim and Jurasz, Olga (2024). #MeToo, Sport, and Women: Foul, Own Goal, or Touchdown? Online Abuse of Women in Sport as a Contemporary Issue. In: Sports and Human Rights. WSHR 2022. (Boillet, Véronique; Weerts, Sophie and Ziegler, Andreas R. eds.), Interdisciplinary Studies in Human Rights (CHREN, volume 10), Springer, Cham, Switzerland, pp. 71–93.

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Jurasz, Olga (2024). Online violence against women: A Four Nations study. The Open University.

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Reyero Lobo, Paula; Daga, Enrico; Alani, Harith and Fernandez, Miriam (2024). Enhancing Hate Speech Annotations with Background Semantics. In: ECAI 2024 (Endriss, Ulle; Melo, Francisco S.; Bach, Kerstin; Alberto, Bugarín-Diz; Alonso-Moral, José M.; Barro, Senén and Heintz, Fredrik eds.), Frontiers in Artificial Intelligence and Applications, Vol. 392, IOS Press, pp. 3923–3930.

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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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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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Pavón Pérez, Ángel; Fernandez, Miriam; Al-Madfai, Hasan; Burel, Grégoire and Alani, Harith (2023). Tracking Machine Learning Bias Creep in Traditional and Online Lending Systems with Covariance Analysis. In: Proceedings of the 15th ACM Web Science Conference 2023, Association for Computing Machinery, New York, NY, United States pp. 184–195.

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Reyero Lobo, Paula; Daga, Enrico; Alani, Harith and Fernandez, Miriam (2023). Knowledge-Grounded Target Group Language Recognition in Hate Speech. In: The Proceedings of SEMANTICS 2023, the 19th International Conference on Semantic Systems: Knowledge Graphs: Semantics, Machine Learning, and Languages (Acosta, Maribel; Peroni, Silvio; Vahdati, Sahar; Gentile, Anna-Lisa; Pellegrini, Tassilo and Kalo, Jan-Christoph eds.), Studies on the Semantic Web, IOS Press, pp. 1–18.

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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; 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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Bayer, Vaclav; Hlosta, Martin and Fernandez, Miriam (2021). Learning Analytics and Fairness: Do Existing Algorithms Serve Everyone Equally? In: Artificial Intelligence in Education. AIED 2021. Lecture Notes in Computer Science, vol 12749 (Roll, I.; McNamara, D.; Sosnovsky, S.; Luckin, R. and Dimitrova, V. eds.), Springer.

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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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Farrell, Tracie; Araque, Oscar; Fernandez, Miriam and Alani, Harith (2020). On the use of Jargon and Word Embeddings to Explore Subculture within the Reddit’s Manosphere. In: WebSci '20: 12th ACM Conference on Web Science, 6-10 Jul 2020, Southampton, UK, pp. 221–230.

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Ntoutsi, Eirini; Fafalios, Pavlos; Gadiraju, Ujwal; Iosifidis, Vasileios; Nejdl, Wolfgang; Vidal, Maria-Esther; Ruggieri, Salvatore; Turini, Franco; Papadopoulos, Symeon; Krasanakis, Emmanouil; Kompatsiaris, Ioannis; Kinder-Kurlanda, Katharina; Wagner, Claudia; Karimi, Fariba; Fernandez, Miriam; Alani, Harith; Berendt, Bettina; Kruegel, Tina; Heinze, Christian; Broelemann, Klaus; Kasneci, Gjergji; Tiropanis, Thanassis and Staab, Steffen (2020). Bias in data-driven artificial intelligence systems - An introductory survey. WIREs Data Mining and Knowledge Discovery, 10(3), article no. e1356.