most cited"They've Over-Emphasized That One Search": Controlling Unwanted Content on TikTok's For You Page

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CY2026

Beyond Detection: Governing GenAI in Academic Peer Review as a Sociotechnical Challenge

Tatiana Chakravorti, Pranav Narayanan Venkit, Sourojit Ghosh +1

Generative AI tools are increasingly entering academic peer review workflows, raising questions about fairness, accountability, and the legitimacy of evaluative judgment. While the…

cs.CY2025

Bias Amplification in Stable Diffusion's Representation of Stigma Through Skin Tones and Their Homogeneity

Kyra Wilson, Sourojit Ghosh, Aylin Caliskan

Text-to-image generators (T2Is) are liable to produce images that perpetuate social stereotypes, especially in regards to race or skin tone. We use a comprehensive set of 93 stigma…

cs.CY2025

Bias is a Math Problem, AI Bias is a Technical Problem: 10-year Literature Review of AI/LLM Bias Research Reveals Narrow [Gender-Centric] Conceptions of 'Bias', and Academia-Industry Gap

Sourojit Ghosh, Kyra Wilson

The rapid development of AI tools and implementation of LLMs within downstream tasks has been paralleled by a surge in research exploring how the outputs of such AI/LLM systems emb…

cs.CY2025

Documenting Patterns of Exoticism of Marginalized Populations within Text-to-Image Generators

Sourojit Ghosh, Sanjana Gautam, Pranav Venkit +1

A significant majority of AI fairness research studying the harmful outcomes of GAI tools have overlooked non-Western communities and contexts, necessitating a stronger coverage in…

cs.HC20252 cited

"They've Over-Emphasized That One Search": Controlling Unwanted Content on TikTok's For You Page

Julie A. Vera, Sourojit Ghosh

Modern algorithmic recommendation systems seek to engage users through behavioral content-interest matching. While many platforms recommend content based on engagement metrics, oth…