Self-Censorship on Facebook

Self-censorship of status updates was significantly higher for users whose friend networks spanned greater political diversity, indicating that perceived audience heterogeneity amplifies the chilling effect even in the absence of any explicit platform enforcement action.

§3.1 Status Update Abatement policy keyword-filtering generic

Das and Kramer measured last-minute self-censorship on Facebook by tracking text typed into composer fields but never submitted; 71% of users in their study composed at least one status update or comment that they ultimately withheld during the 17-day observation window.

§3 Results policy keyword-filtering generic

The study collected behavioral data from approximately 3.9 million Facebook users by instrumenting client-side JavaScript to detect composition-then-abandonment events, without capturing the suppressed text itself; this passive measurement approach allowed population-scale inference of suppression rates without content-level surveillance.

§2 Methods evaluation measurement-platform generic

Comment self-censorship was primarily driven by the relationship between commenter and post author: users were more likely to suppress comments when the audience included the post's author, underscoring that relational asymmetry — not just content sensitivity — shapes suppression decisions.

§3.2 Comment Abatement policy keyword-filtering generic