My research explores the societal impact of artificial intelligence and digital platforms, with a focus on algorithmic accountability, AI-driven risks, and information inequalities. I investigate how emerging technologies—especially large language models (LLMs) and AI-powered recommender systems—shape public discourse, political polarization, and access to reliable information.

To analyze these issues, I use computational methods, statistical modeling, and social science approaches, ensuring that my work is both methodologically rigorous and socially relevant. My research contributes to AI governance, digital ethics, and platform transparency, bridging the gap between academia, policy, and public understanding.

I have published over 40 peer-reviewed papers on these topics. My work has been featured in leading journals and international media, influencing discussions on AI regulation and digital policy.

For a full and up-to-date list of my publications, visit my Google Scholar profile.