Decision Making over Multiple Criteria to Assess News Credibility in Microblogging Sites

Locating Web content useful to specific user needs and tasks concerns nowadays, in many circumstances, to assess the credibility of the content itself. With the diffusion of social media and the possibility for everyone to become a content generator, the problem of assessing information credibility has become a major research issue, in particular in microblogging sites, where fake news, hoaxes and other kinds of misinformation are diffused almost without any traditional form of trusted intermediation. In this paper, we propose an approach based on multiple criteria associated with news, on which the use of aggregation operators guided by linguistic quantifiers allow the modeling of the decision maker behavior into the news credibility assessment process. The operation and the evaluation of the approach are illustrated by considering the Twitter microblogging platform.