PhD Researcher at the Knowledge Media Institute (KMi) of the Open University and a member of the Social Data Science group. His research project is 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 Detection with a focus on Intersectional hate.

Keys: Artificial Intelligence, Digital Systems, Gender Data Gap, Hate Speech, Misogynoir

Team: Harith Alani, Vaclav Bayer, Tracie Farrell, Miriam Fernandez, Martino Mensio, Angel Pavon Perez, Paula Reyero Lobo, Aisling Third

First Melete Scholarships for KMi Research Students Awarded

KMi Researchers Take Part in DATATHON AGAINST RACISM

Joseph Kwarteng has launched the first-ever research platform capture experiences of Misogynoir

Best Paper Awarded to Joseph Kwarteng at ASONAM 2021

Joseph Kwarteng's Spotlight Story on Misogynoir

Reyero Lobo, P., Mensio, M., Pavon Perez, A., Bayer, V., Kwarteng, J., Fernandez, M., Daga, E. and Alani, H. (2022) Estimating Ground Truth in a Low-labelled Data Regime: A Study of Racism Detection in Spanish, Workshop on Novel Evaluation Approaches for Text Classification Systems on Social Media (NEATCLasS), Atlanta, Georgia

Kwarteng, J., Perfumi, S., Farrell, T., Third, A. and Fernandez, M. (2022) Misogynoir: Challenges in Detecting Intersectional Hate, Social Network Analysis and Mining (SNAM), 12

Kwarteng, J., Perfumi, S., Farrell, T. and Fernandez, M. (2021) Misogynoir: Public Online Response Towards Self-Reported Misogynoir, The 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 21), Online