Joseph Kwarteng is a PhD Research Student at the Knowledge Media Institute (KMi) of the Open University. His research project aimed at investigating Intersectionality in Hate Speech Detection with a focus on "Misogynoir" - a unique form of misogyny experienced by Black women with the intersection of sexism and racism.
His study explores how misogynoir manifests online and how it could be mitigated since existing technologies for hate speech detection do not address this type of hate and protect Black women accordingly.
His research interests are in the areas of Artificial Intelligence, Gender Data Gap, NLP and Hate Speech with a focus on Intersectional hate - "Misogynoir".
Misogynoir: Challenges in Detecting Intersectional Hate (2022)
Kwarteng, Joseph; Coppolino Perfumi, Serena; Farrell, Tracie; Third, Aisling and Fernandez, Miriam
Social Network Analysis and Mining (SNAM), 12, Article 166(1)
Understanding Misogynoir: A Study of Annotators’ Perspectives (2023)
Kwarteng, Joseph; Farrell, Tracie; Third, Aisling; Burel, Gregoire and Fernandez, Miriam
In : 15th ACM Web Science Conference 2023 (WebSci ’23) (30 Apr - 01 May 2023, Evanston, TX, USA)
Estimating Ground Truth in a Low-labelled Data Regime: A Study of Racism Detection in Spanish (2022-06-06)
Reyero Lobo, Paula; Mensio, Martino; Pavon Perez, Angel; Bayer, Vaclav; Kwarteng, Joseph; Fernandez, Miriam; Daga, Enrico and Alani, Harith
In : Workshop on Novel Evaluation Approaches for Text Classification Systems on Social Media (NEATCLasS) (6-9 Jun 2022, Atlanta, Georgia)
Misogynoir: Public Online Response Towards Self-Reported Misogynoir (2021-11-08)
Kwarteng, Joseph; Coppolino Perfumi, Serena; Farrell, Tracie and Fernandez, Miriam
In : ASONAM '21: Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (08-11 Nov 2021, Virtual Event Netherlands) (pp. 228-235)