User Anonymity on Twitter
Abstract
A novel machine-based classifier system leverages Twitter user anonymity patterns and their correlation to content sensitivity to automatically identify accounts that tweet sensitive content. Anonymity’s role in society and the nuances and complexity of content sensitivity are confirmed.
Type
Publication
IEEE Security & Privacy
This article is based on two prior publications: COSN 2014 and ICWSM 2016, and an arXiv draft.
