Zeve Sanderson
I work across research, product, and policy, using empirical research to understand information systems and inform how they are designed and governed. I also build programs and networks that connect researchers with people working on these questions in industry and policy.
I am currently the Information Quality Lead on the Trust team at Google and a Schuster Media & Technology Fellow at Harvard’s Shorenstein Center for the 2026–27 academic year. Previously, I was the founding Executive Director of NYU’s Center for Social Media, AI, and Politics.
My research uses experimental and computational methods. Recent work has examined search engines and AI chatbots and their effects on political beliefs, age-verification policy, AI labels, and researcher access to platform data. My academic work has been published in leading general-science and disciplinary journals, including Nature, PNAS Nexus, and Big Data & Society. I also write about technology and policy for broader audiences, with work in The Washington Post, Noema, Brookings, Slate, Lawfare, Tech Policy Press, and other outlets.
Research
All research →Information quality & interventions
How people encounter, evaluate, and are affected by information on online platforms, and which interventions improve these systems.
Information seeking & belief
How search engines and AI systems shape the information people find — and what that does to belief.
Policy & governance
Researcher access to platform data, data portability, and the regulation of digital systems.