Staff

The many faces of GESIS

Vita

I am currently a PhD candidate at GESIS working on design of Hybrid methodolgies to mitigate hate speech in social media as a part of HYBRIDS project. I am advised by Prof. Dr. Claudia Wagner and Dr. Dennis Assenmacher. Previously, I was a Senior Data Scientist at Coursera working on building NLP models for automated grading assistance and developing Cloud Architecture for model deployment. I graduated with a Master's Degree in Computer Science (Thesis Track) from University at Buffalo(State University of New York) in 2021 with a specialization in NLP and Computational Social Science.

Research

My research mostly deals with using Deep Learning based Language Models to detect hate speech, quantify data quality for different hate speech datasets and investigating new methods for synthetic data generation.

Publications

Chapter in an edited book

Madani, Navid, Rabiraj Bandyopadhyay, Michael Miller Yodder, Stefan M. McCabe, Briony Swire Thompson, and Kenneth Joseph. 2025 (Forthcoming). "Measuring Dimensions of Self-Presentation in Twitter Bios and their Links to Misinformation Sharing." In Proceedings of the International AAAI Conference on Web and Social Media 2025, edited by Yelena Mejova, Jisun An, and Yu-Ru Lin, Association for the Advancement of Aritificial Intelligence. https://arxiv.org/abs/2305.09548.

Bandyopadhyay, Rabiraj, Dennis Assenmacher, Jose M. Alonso-Moral, and Claudia Wagner. 2024. "Sexism Detection on a Data Diet." In Websci Companion '24: Companion Publication of the 16th ACM Web Science Conference, edited by Raphael Heiberger, Ujwal Gadiraju, Marc Spaniol, Katharina Kinder-Kurlanda, Agnieszka Falenska, Afra Mashhadi, Jun Sun, Sierra Kaiser, and Steffen Staab, 94-102. New York: ACM. doi: https://doi.org/10.1145/3630744.3663609.

Working and discussion paper

Madani, Navid, Rabiraj Bandyopadhyay, Michael Miller Yodder, and Kenneth Joseph. 2023. Measuring Stereotypes using Entity-Centric Data. ArXiV Preprint. doi: https://doi.org/10.48550/arXiv.2305.09548.