This study examines how online behavior changed following the April 2022 introduction of IP-based geolocation disclosure on Sina Weibo. Unlike full identity disclosure, geolocation disclosure reveals an identity-relevant but indirect cue, making users partially identifiable while preserving substantial anonymity. Using 2,245,780 comments associated with 36,470 posts, we analyze post-policy changes in comment sentiment, comment length, comment volume, and repost volume. Observed comment sentiment is more positive after implementation, with larger post-policy increases in institutional-account contexts and among verified commenters. We find no statistically significant changes in comment length, comment volume, or repost volume. Horizon-specific estimates indicate that several responses are concentrated near implementation or evolve non-monotonically. Overall, the evidence is clearest for expressive tone. The sentiment response varies across interaction contexts, while several outcomes exhibit temporal heterogeneity.
목차
ABSTRACT Ⅰ. Introduction Ⅱ. Research Background and Related Literature 2.1. Sina Weibo and Verified Account Types 2.2. Anonymity, Identifiability, and the Binary Assumption 2.3. Disclosure Interventions and the Static Assumption Ⅲ. Hypothesis Development 3.1. Comment Characteristics 3.2. User Engagement 3.3. Moderating Role of Account Type 3.4. Moderating Role of User Verification Ⅳ. Empirical Approach 4.1. Sample Construction 4.2. Variables and Measurement 4.3. Empirical Model and Interpretation 4.4. Dynamic Analysis Ⅴ. Results 5.1. Average Post-Policy Changes in Comment Characteristics 5.2. Average Post-Policy Changes in User Engagement 5.3. Heterogeneity by Account Type 5.4. Heterogeneity by User Verification 5.5. Temporal Dynamics Ⅵ. Discussion and Conclusion 6.1. Limitations and Future Research