Zeynep Tufekci

Zeynep Tufekci is a sociologist and writer whose work investigates the social, political, and ethical consequences of technology, with particular focus on platforms, surveillance, and public health. She is the Henry G. Bryant Professor of Sociology and Public Affairs at Princeton University, where she holds appointments in the School of Public and International Affairs and the Department of Sociology, and a contributing opinion writer for The New York Times. Her writing has shaped public understanding of social media's effects on democratic life and of how institutions respond to large-scale collective action problems.

Tufekci was born in Istanbul, trained originally as a computer programmer, and earned her PhD in sociology from the University of Texas at Austin. She held faculty positions at the University of Maryland, Baltimore County, the University of North Carolina at Chapel Hill, and the University of California, Berkeley, before joining Columbia and then Princeton. Her interdisciplinary background, combining technical literacy with sociological method, has made her one of the most cited public scholars writing on the intersection of technology and society.

Her 2017 book Twitter and Tear Gas: The Power and Fragility of Networked Protest draws on years of fieldwork inside protest movements from Tahrir Square to Gezi Park to Occupy Wall Street. The book argues that networked digital tools lower the cost of protest mobilization while simultaneously making movements more fragile, less able to develop the long-term organizational capacity required to convert moments of mass action into durable institutional change. The book has become a standard reference in studies of digital activism.

She is widely recognized for early and accurate public warnings about COVID-19, masks, ventilation, and pandemic response, for her analysis of recommendation algorithms and political extremism, and for her writing on artificial intelligence and surveillance. Her 2018 New York Times op-ed "YouTube, the Great Radicalizer" was among the first widely read accounts of how engagement-optimized recommendation systems push viewers toward increasingly extreme content.

Zeynep Tufekci's work grounds Individuals First. The treatise cites her New York Times essay "YouTube, the Great Radicalizer" as primary evidence for how recommendation engines learn to serve increasingly extreme content because engagement metrics reward emotional manipulation, a direct violation of individual agency at scale.

The principle's central commitment, prioritizing individual agency above efficiency, profit, or convenience, has its empirical case in Tufekci's body of work. She documented, before most of the technology press did, how systems optimized for a single behavioral metric reshape the people who use them. The treatise's argument that systems must be evaluated on their effect on individual users, not on aggregate engagement, has its sharpest articulation in her writing on YouTube, on social media's effect on collective action, and on what platforms do to the people whose attention they harvest.