Dr Tracie Farrell

Research Associate

I am a social data scientist at the Open University, working on the topics of networked misogyny, discrimination and hate speech, as well as disinformation and misinformation. My work typically addresses inequality or intersectionality in the above themes. My background is in learning and cognition, with an interest in how new technologies (such as artificial intelligence, learning analytics, augmented reality, virtual reality, blockchains and peer-to-peer service architecture) create new ways of supporting the learning process (in both formal and non-formal environments).

Keywords

online harm, misinformation, self-regulated learning, analytics for learning

Publications

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.

Sides, T. , Farrell, T. and Kbaier, D.(2023). Understanding the Acceptance of Artificial Intelligence in Primary Care. In: HCI International 2023 Posters. HCII 2023 (Stephanidis, C.; Antona, M.; Ntoa, S. and Salvendy, G. eds.), Communications in Computer and Information Science, vol. 1832, Springer Cham, pp. 512–518.

Farrell, Tracie and Kouadri Mostéfaoui, Soraya(2023). False Hopes in Automated Abuse Detection (Short Paper). In: CEUR Workshop Proceedings of the Workshops at the Second International Conference on Hybrid Human-Artificial Intelligence (HHAI 2023) (Murukannaiah, Pradeep K. and Hirzle, Teresa eds.), CEUR Workshop Proceedings (CEUR-WS.org), 3456 pp. 109–118.

Mensio, Martino, Burel, Gregoire, Farrell, Tracie and Alani, Harith(2023). MisinfoMe: A Tool for Longitudinal Assessment of Twitter Accounts’ Sharing of Misinformation. In: Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, ACM pp. 72–75.

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.

Alani, Harith, Burel, Gregoire and Farrell, Tracie(2022). Elon Musk could roll back social media moderation – just as we’re learning how it can stop misinformation. The Conversation.

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.

Kbaier, Dhouha, Ismail, Nashwa , Farrell, Tracie and Kane, Annemarie (2022). Experience of Health Professionals with Misinformation and Its Impact on Their Job Practice: Qualitative Interview Study. JMIR formative research, 6(11), article no. e38794.

Farrell, Tracie, Alani, Harith and Mikroyannidis, Alexander(2022). Mediating learning with learning analytics technology: guidelines for practice. Teaching in Higher Education (Early access).

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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