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Correlation Neglect on Social Media

Effects on Civil Service Applications in China

Bibliographic Data

ID9702894
AuthorsYihong Huang (0000-0002-2061-5649, Peking University), Yixi Jiang (Coursera), Ziqi Lu (Jinan University)
Year2025
Volume135
Issue672
Pages2509-2530
Publication date2025-10-21
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Economic Journal (JOURNAL)
Journal identifiersISSN: 0013-0133 • E-ISSN: 1468-0297
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/ej/ueaf047
OpenAlexW4411257352
LanguageEN
References cited17

Social media, on which signals are often correlated, has become a primary source of information. How do people form beliefs when reading correlated signals online? In a field experiment on Weibo, we exposed Chinese college students to redundant negative posts about civil service jobs. Consequently, students developed a 0.16-standard-deviation higher negative view of these jobs and were 11% less likely to register for civil service exams, compared to the control group. We find the same effect in a supplemental online survey experiment, and the effect is moderated by attention. Our study demonstrates that correlation neglect can affect beliefs and real-life outcomes, including career choices

China · Civil service · Correlation · Neglect · Political science · Public service · Social media · Computational and Text Analysis Methods · Hate Speech and Cyberbullying Detection · Law · Mathematics · Privacy, Security, and Data Protection · Psychology · Public Administration

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