Abstract
We report results from an exploratory analysis examining
"last
-
minute" self
-
censorship, or content that is filtered after
being written, on Facebook. We collected data from 3.9 milion users over 17 days and associate self-
censorship behavior with features describing users, their social graph, and the interactions between them. "