How the Ultra-Rich Use Media Ownership as a Political Investment
with Guy Grossman and Tamar Mitts
Journal of Politics (forthcoming)
[PDF] [Data and Code]
ABOUT
After Defeat: How Governing Parties Respond to Electoral Loss
with Tara Slough and Michael Ting
Political Science Research and Methods (forthcoming)
[PDF] [Data and Code]
The Effect of Fox News on Health Behavior During COVID-19
With Eliot Ash, Sergio Galletta, Dominik Hangartner, and Matteo Penna
Political Analysis (forthcoming)
[PDF] [Data and Code]
Shir Raviv
Postdoctoral Researcher
Data Science Institute
Columbia University
I am a postdoctoral researcher at the Data Science Institute at Columbia University and a non-resident fellow at the Democratic Innovations Program at ISPS, Yale University. I earned my PhD in Political Science from Tel Aviv University in February 2024.
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My research focuses on the politics of emerging technologies, particularly the implications of rapid advances in Artificial Intelligence and the challenges of governing this powerful technology.
I study public attitudes toward the use of AI and data-driven algorithms in policy Implementation. I use experimental methods to study questions such as under what conditions citizens are willing to accept using algorithmic systems in shaping high-stakes decisions (e.g., on policing, welfare, education) and how their views change following exposure to information or by gaining personal experience interacting with the technology.
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My broad research interests include political behavior, survey design, and experimental methods. My work has been published or is forthcoming in the Journal of Politics and Political Science Research and Methods.
RESEARCH
Technology & Politics
When do Citizens Resist Using AI Algorithms in Public Policy?
R&R at the Journal of Politics
The Politics of Using AI in Public Policy, Evidence From a Field Experiment
with Yotam Margalit