Currently browsing: Centre for Protecting Women Online

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2024To Top

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.

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.

2023To Top

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.

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.

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.

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.

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.

2022To Top

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.

2021To Top

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.

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.

2020To Top

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.

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.

2019To Top

Farrell, Tracie; Fernandez, Miriam; Novotny, Jakub and Alani, Harith (2019). Exploring Misogyny across the Manosphere in Reddit. In: WebSci '19 Proceedings of the 10th ACM Conference on Web Science, pp. 87–96.

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