Compromised Tweet Detection Using Siamese Networks and fastText Representations
Mihir Joshi, Parmeet Singh, Nur Zincir-Heywood · 2019
The aim of this work is to detect compromised users of tweets based on their writing styles. In this paper, we use Siamese Networks to learn a representation of user tweets that allows us to classify them based on a limited amount of ground truth data. We propose the employment of this classification model to identify compromised user accounts of tweets.