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Beyond Big Brother

How to Study Tech-Driven Authoritarianism With Restricted Access to State Institutions

Bibliographic Data

ID2402804
AuthorsRui Hou (0000-0001-5906-8817, Toronto Metropolitan University, corresponding author)
Year2024
Volume25
Issue3
Pages394-413
Publication date2024-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEthnography (JOURNAL)
Journal identifiersISSN: 1466-1381 • E-ISSN: 1741-2714
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/14661381221120208
OpenAlexW4292056914
LanguageEN
Citations received5
References cited68

With the tremendous advancements in Internet, big data analytics, and artificial intelligence, the power and potential of digital technologies has a special appeal to political rulers. How can qualitative researchers explore tech-driven authoritarianism when they have limited access to state institutions? This article addresses this question by arguing for a wider and more nuanced understanding of tech-driven authoritarianism as a state-market complex mediating the political application of digital technologies. Based on my own research on China's Internet surveillance, I find that the engagement of the private sector, especially technology companies, in authoritarian control creates new opportunities for qualitative researchers to study state power in non-state fields. By reflecting on my experience of field-site choice, gaining access, and informant recruitment, I discuss how thorough preparation in both theory and fieldwork approaches help qualitative investigators develop creative ways of collecting information on tech-driven authoritarianism

Appeal · Authoritarianism · Big data · Democracy · Political science · Politics · Power (physics · Public relations · Sociology · State (computer science · The Internet · World Wide Web · China's Socioeconomic Reforms and Governance · Computer Science · Law · Qualitative Research Methods and Ethics · Southeast Asian Sociopolitical Studies

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Unique citing works5
Citations per year2,5
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 4

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