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Facial Recognition Technology and Voter Turnout

Bibliographic Data

ID6386203
AuthorsFeyaad Allie (0000-0003-0110-0735, Stanford University, corresponding author)
Year2023
Volume85
Issue1
Pages328-333
Publication date2023-01-01
Open AccessNo
TypeARTICLE
VenueThe Journal of Politics (JOURNAL)
Journal identifiersISSN: 0022-3816 • E-ISSN: 1468-2508
PublisherUniversity of Chicago Press (PUBLISHER • US)
DOI10.1086/722039
OpenAlexW4291693790
LanguageEN
Citations received4
References cited14

States worldwide use facial recognition technology (FRT) to assist in policing citizens, monitoring public goods, and even running elections. This article asks how FRT in polling stations affects voter turnout. Existing research on technology in elections offers ambiguous predictions for the direction and magnitude of the effect. I leverage a state-run randomized pilot of FRT in local elections in a municipality in Telangana, India, to show that polling stations with FRT have lower turnout compared to those without. I discuss how three possible mechanisms might explain this effect: logistical issues, shifts in fraudulent activity, and apprehension about government surveillance particularly among marginalized citizens. Given the small sample of this pilot, the findings should be viewed as suggestive but indicative of the need for future research on the consequences that new technologies in governance can have on citizens in democracies

Apprehension · Cognitive psychology · E-governance · Economics · Information and Communications Technology · Leverage (statistics · Political science · Politics · Polling · Public economics · Public relations · Turnout · Voter turnout · Voting · Artificial Intelligence · Computer Science · Electoral Systems and Political Participation · Law · Media Influence and Politics · Psychology · Public Administration · Southeast Asian Sociopolitical Studies

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Citations per year2
Citation span2024 - 2026 (3)
Highly citedNo

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