Massive amounts of misinformation have been observed to spread in uncontrolled fashion across social media. Examples include rumors, hoaxes, fake news, and conspiracy theories. At the same time, several journalistic organizations devote significant efforts to high-quality fact checking of online claims. The resulting information cascades contain instances of both accurate and inaccurate informa...

Abstract This article explores the strategic use of ‘fake news’ discourses in non-democratic contexts using a mixed-methods approach grounded social network analysis and discourse theory. In such as Russia Iran, where opposition generally does not have unrestricted access to political public sphere, media platforms serve influence discourses. Given prevalence fake news discourses, previous stud...

Abstract Fake news, deceptive information, and conspiracy theories are part of our everyday life. It is really hard to distinguish between false valid information. As contemporary people receive the majority information from electronic publications, in many cases fake can seriously harm people’s health or economic status. This article will analyze question how up-to-date technology help detect ...

Automatic fake news detection is an important, yet very challenging topic. Traditional methods using lexical features have only very limited success. This paper proposes a novel method to incorporate speaker profiles into an attention based LSTM model for fake news detection. Speaker profiles contribute to the model in two ways. One is to include them in the attention model. The other includes ...