TY - JOUR
T1 - Privacy cynicism and diminishing utility of state surveillance
T2 - A natural experiment of mandatory location disclosure on China's Weibo
AU - Zhu, Yuner
N1 - The author disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Hong Kong Baptist University (grant number 162842).
Publisher Copyright:
© The Author(s) 2024.
PY - 2024/4
Y1 - 2024/4
N2 - This article examines the public response to mandatory location disclosure (MLD), a new surveillance technology implemented on China's Sina Weibo. Initially introduced to geo-tag posts related to the Ukraine War, the MLD eventually expanded to encompass all posts and comments on the platform. Drawing on a large-scale dataset comprising over 0.6 million posts and 24 million comments, this study uncovers political asymmetry observed during the initial implementation of MLD. Users with different political orientations were subjected to different levels of geo-tagging. Pro-Ukraine users were most frequently geo-tagged, followed by Pro-Russia and liberal-leaning users, while conservative-leaning users are least likely to be tagged. This selective surveillance approach, however, backfired among Pro-Ukraine and Pro-Russia users, pushing them to publish more war-related content, while its impact on liberal- and conservative-leaning users appeared to be minimal. When selective surveillance was replaced by universal surveillance, the backfire effects ceased to exist and people's interest in war-related topics declined. Furthermore, privacy cynicism prevails among commenters across opinion groups. Neither the introduction nor the expansion of MLD deterred audiences from engaging with the geo-tagged posts. These findings suggest that prolonged surveillance makes people less sensitive to privacy threats and more experienced in neutralizing surveillance's influence on themselves. Privacy cynicism, though widely considered toxic to democracy, can function as a source of resilience that shields people from the fear of coercion and undercuts the marginal utility of state surveillance in an authoritarian context.
AB - This article examines the public response to mandatory location disclosure (MLD), a new surveillance technology implemented on China's Sina Weibo. Initially introduced to geo-tag posts related to the Ukraine War, the MLD eventually expanded to encompass all posts and comments on the platform. Drawing on a large-scale dataset comprising over 0.6 million posts and 24 million comments, this study uncovers political asymmetry observed during the initial implementation of MLD. Users with different political orientations were subjected to different levels of geo-tagging. Pro-Ukraine users were most frequently geo-tagged, followed by Pro-Russia and liberal-leaning users, while conservative-leaning users are least likely to be tagged. This selective surveillance approach, however, backfired among Pro-Ukraine and Pro-Russia users, pushing them to publish more war-related content, while its impact on liberal- and conservative-leaning users appeared to be minimal. When selective surveillance was replaced by universal surveillance, the backfire effects ceased to exist and people's interest in war-related topics declined. Furthermore, privacy cynicism prevails among commenters across opinion groups. Neither the introduction nor the expansion of MLD deterred audiences from engaging with the geo-tagged posts. These findings suggest that prolonged surveillance makes people less sensitive to privacy threats and more experienced in neutralizing surveillance's influence on themselves. Privacy cynicism, though widely considered toxic to democracy, can function as a source of resilience that shields people from the fear of coercion and undercuts the marginal utility of state surveillance in an authoritarian context.
KW - Chinese social media
KW - Privacy cynicism
KW - authoritarian rule
KW - civil resilience
KW - geolocation
KW - state surveillance
UR - http://www.scopus.com/inward/record.url?scp=85190953222&partnerID=8YFLogxK
U2 - 10.1177/20539517241242450
DO - 10.1177/20539517241242450
M3 - Journal article
SN - 2053-9517
VL - 11
SP - 1
EP - 17
JO - Big Data and Society
JF - Big Data and Society
IS - 2
ER -