A protuberant issue of the present time is that, organizations from different domains are
struggling to obtain effective solutions for detecting online-based fake news. It is quite …

Recently, the use of social networks such as Facebook, Twitter, and Sina Weibo has
become an inseparable part of our daily lives. It is considered as a convenient platform for …

The explosion of social media allowed individuals to spread information without cost, with
little investigation and fewer filters than before. This amplified the old problem of fake news …

There are numerous channels available such as social media, blogs, websites, etc., through
which people can easily access the news. It is due to the availability of these platforms that …

Social media are nowadays one of the main news sources for millions of people around the
globe due to their low cost, easy access and rapid dissemination. This however comes at the …

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 …

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 …

Easy access to equipment, software, and platforms to create, distribute, and provide access
to fake news stories has exacerbated the problem of fake news, making for a large number …

Most existing work on automated fact checking is concerned with predicting the veracity of
claims based on metadata, social network spread, language used in claims, and, more …

The recently increased focus on misinformation has stimulated research in fact checking, the
task of assessing the truthfulness of a claim. Research in automating this task has been …