The emergence of various social networks has generated vast volumes of data. Efficient
methods for capturing, distinguishing, and filtering real and fake news are becoming …

The epidemic spread of fake news is a side effect of the expansion of social networks to
circulate news, in contrast to traditional mass media such as newspapers, magazines, radio …

In recent years, to mitigate the problem of fake news, computational detection of fake news
has been studied, producing some promising early results. While important, however, we …

Along with the development of the Internet, the emergence and widespread adoption of the
social media concept have changed the way news is formed and published. News has …

Social media is becoming popular for news consumption due to its fast dissemination, easy
access, and low cost. However, it also enables the wide propagation of fake news, ie, news …

Fake news detection is a critical yet challenging problem in Natural Language Processing
(NLP). The rapid rise of social networking platforms has not only yielded a vast increase in …

This exploratory study seeks to understand the diffusion of disinformation by examining how
social media users respond to fake news and why. Using a mixed-methods approach in an …

The problem of fake news has gained a lot of attention as it is claimed to have had a
significant impact on 2016 US Presidential Elections. Fake news is not a new problem and …

A new era of Information Warfare has arrived. Various actors, including state-sponsored
ones, are weaponizing information on Online Social Networks to run false-information …

The menace of misinformation online has gained considerable media attention and
plausible solutions for combatting misinformation have often been less than satisfactory. In …