http://g7ee5otfyict57k24vjujuqzi6pd7iwvnsry2mt3svsgwzn6o6iynsad.onion/popets/2019/popets-2019-0059.php
In this paper, we propose a context-aware, text-based quantitative model for private information assessment, namely PrivScore, which is expected to serve as the foundation of a privacy leakage alerting mechanism. We first solicit diverse opinions on the sensitiveness of private information from crowdsourcing workers, and examine the responses to discover a perceptual model behind the consensuses and disagreements.