OntoFD: A Generic Social Media Fake News Ontology

Fake news has increased dramatically in recent years as a result of social media’s rapid and explosive expansion. To lessen their negative consequences, detecting them has become essential and a very busy and dynamic area of research. Despite the fact that much progress has been made in this field, it remains a difficult task due to its complexity. Indeed, there are various types of fake news. The news itself is made up of several data components of various types (textual, graphical, multimedia, network, social, psychological, and so on). It also involves multiple actors: a creator, a victim, and a target community. To handle all of this knowledge and improve the ability to recognize fake news on social media, this study proposes an ontological structure for its depiction. The result is an ontology with the name OntoFD. It shows a hierarchy of concepts and relations that can be used to assess whether information propagating on social media is credible or not.