Natural Language Generation (NLG) has improved exponentially in recent years thanks to
the development of sequence-to-sequence deep learning technologies such as Transformer …

In recent years, we have witnessed a rise in fake news, ie, provably false pieces of
information created with the intention of deception. The dissemination of this type of news …

Fact-checking has become increasingly important due to the speed with which both
information and misinformation can spread in the modern media ecosystem. Therefore …

Fake news is a real problem in today's world, and it has become more extensive and harder
to identify. A major challenge in fake news detection is to detect it in the early phase. Another …

We propose Factual News Graph (FANG), a novel graphical social context representation
and learning framework for fake news detection. Unlike previous contextual models that …

In recent times, fake news and misinformation have had a disruptive and adverse impact on
our lives. Given the prominence of microblogging networks as a source of news for most …

The reporting and the analysis of current events around the globe has expanded from
professional, editor-lead journalism all the way to citizen journalism. Nowadays, politicians …

The proliferation of misleading information in everyday access media outlets such as social
media feeds, news blogs, and online newspapers have made it challenging to identify …

The proliferation of false information is a growing problem in today's dynamic online
environment. This phenomenon requires automated detection of fake news to reduce its …

Despite the increasing use of social media platforms for information and news gathering, its
unmoderated nature often leads to the emergence and spread of rumours, ie, items of …