Alongside huge volumes of research on deep learning models in NLP in the recent years,
there has been much work on benchmark datasets needed to track modeling progress …

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 …

News media often leverage documents to find ideas for stories, while being critical of the
frames and narratives present. Develo** angles from a document such as a press release …

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 …

Advances in personalization algorithms and other applications of machine learning have
vastly enhanced the ease and convenience of our media and communication experiences …

Internet and social media have become a widespread, large scale and easy to use platform
for real-time information dissemination. It has become an open stage for discussion …

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 …

The explosive growth in fake news and its erosion to democracy, justice, and public trust has
increased the demand for fake news detection and intervention. This survey reviews and …

Misinformation threatens modern society by promoting distrust in science, changing
narratives in public health, heightening social polarization, and disrupting democratic …

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 …