Self-Censorship Under Law: A Case Study of the Hong Kong National Security Law
Mona Wang, Jonathan Mayer

TL;DR
This study examines how the Hong Kong national security law influences online self-censorship, revealing increased deletion of past posts and reduced discussion of sensitive topics among Hong Kong Twitter users.
Contribution
It provides empirical evidence of self-censorship behaviors induced by legislation, using a large-scale Twitter dataset before and after the law's enactment.
Findings
Hong Kong users are more likely to delete or restrict past activity.
They post less about politically sensitive topics over time.
Self-censorship behaviors increase after the law's implementation.
Abstract
We study how legislation that restricts speech can induce online self-censorship and alter online discourse, using the recent Hong Kong national security law as a case study. We collect a dataset of 7 million historical Tweets from Hong Kong users, supplemented with historical snapshots of Tweet streams collected by other researchers. We compare online activity before and after enactment of the national security law, and we find that Hong Kong users demonstrate two types of self-censorship. First, Hong Kong users are more likely than a control group, sampled randomly from historical snapshots of Tweet streams, to remove past online activity. Specifically, Hong Kong users are over a third more likely than the control group to delete or restrict their account and over twice as likely to delete past posts. Second, we find that Hong Kong users post less often about politically sensitive…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsInternet Traffic Analysis and Secure E-voting · Social Media and Politics · Hate Speech and Cyberbullying Detection
