Unveiling the Impact of Mandatory IP Location Disclosure on Social Media Users’ Shared Emotions: A Regression Discontinuity Analysis Based on Weibo Data

Social media serves as a vital channel for emotional expression, yet mandatory IP location disclosure raises concerns about how reducing anonymity affects users’ shared emotions, particularly in privacy-sensitive contexts such as mental health discussions. In 2022, all Chinese social media platforms implemented this disclosure feature. This study examines the emotional and behavioral consequences of Sina Weibo’s mandatory IP location disclosure policy, which took effect on 28 April 2022. We collected 193,761 Weibo posts published under the topic of depression from 1 March to 30 June 2022, and applied sentiment analysis combined with regression discontinuity in time (RDiT) to estimate causal effects around the policy threshold. Results indicate that the policy significantly intensified negative emotional expression: the estimated discontinuity is −1.3506 (p < 0.01), meaning posts became more negative immediately after implementation. In contrast, the effect on positive sentiment was comparatively weak and mostly statistically insignificant. Behavioral changes were also observed: both average daily posting volume and average text length are declined. These findings demonstrate that mandatory disclosure can suppress self-disclosure and amplify negative emotional tone in privacy-sensitive settings, offering practical guidance for users, platform designers, and policymakers on implementing transparency features responsibly.

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Published
2026-01-09
DOI
https://doi.org/10.3390/info17010063
Primary Topic
Privacy, Security, and Data Protection
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article
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article

Unveiling the Impact of Mandatory IP Location Disclosure on Social Media Users’ Shared Emotions: A Regression Discontinuity Analysis Based on Weibo Data

Zhuyu Chen, Aiping Gao, Heng Zhang, Xinyuan Lu
Information
Privacy, Security, and Data Protection
article

Unveiling the Impact of Mandatory IP Location Disclosure on Social Media Users’ Shared Emotions: A Regression Discontinuity Analysis Based on Weibo Data

Zhuyu Chen, Aiping Gao, Heng Zhang, Xinyuan Lu
article en

Abstract

Social media serves as a vital channel for emotional expression, yet mandatory IP location disclosure raises concerns about how reducing anonymity affects users’ shared emotions, particularly in privacy-sensitive contexts such as mental health discussions. In 2022, all Chinese social media platforms implemented this disclosure feature. This study examines the emotional and behavioral consequences of Sina Weibo’s mandatory IP location disclosure policy, which took effect on 28 April 2022. We collected 193,761 Weibo posts published under the topic of depression from 1 March to 30 June 2022, and applied sentiment analysis combined with regression discontinuity in time (RDiT) to estimate causal effects around the policy threshold. Results indicate that the policy significantly intensified negative emotional expression: the estimated discontinuity is −1.3506 (p < 0.01), meaning posts became more negative immediately after implementation. In contrast, the effect on positive sentiment was comparatively weak and mostly statistically insignificant. Behavioral changes were also observed: both average daily posting volume and average text length are declined. These findings demonstrate that mandatory disclosure can suppress self-disclosure and amplify negative emotional tone in privacy-sensitive settings, offering practical guidance for users, platform designers, and policymakers on implementing transparency features responsibly.

InformationVol. 17(1)
Central China Normal University (CN), Development Research Center (CN), Hubei University of Technology (CN)
Hubei University of Technology, Hubei University
Openalex Percentile: Top 95%
Privacy, Security, and Data Protection
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