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.
- content sensitivity
- real-name policy
- social media
- social networks
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering