ExFake: Towards an Explainable Fake News Detection Based on Content and
  Social Context Information
Sabrine Amri Henri-Cedric Mputu Boleilanga Esma Aïmeur
ExFake is an explainable fake news detection system based on content and
context-level information. It is concerned with the veracity analysis of online
posts based on their content, social context (i.e., online users' credibility
and historical behaviour), and data coming from trusted entities such as
fact-checking websites and named entities. Unlike state-of-the-art systems, an
Explainable AI (XAI) assistant is also adopted to help online social networks
(OSN) users develop good reflexes when faced with any doubted information that
spreads on social networks. The trustworthiness of OSN users is also addressed
by assigning a credibility score to OSN users, as OSN users are one of the main
culprits for spreading fake news. Experimental analysis on a real-world dataset
demonstrates that ExFake significantly outperforms other baseline methods for
fake news detection.