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

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 rapid development of different social media and content-sharing platforms has been
largely exploited to spread misinformation and fake news that make people believing in …

Fake news, malicious rumors, fabricated reviews, generated images and videos, are today
spread at an unprecedented rate, making the task of manually assessing data veracity for …

In COVID-19 related infodemic, social media becomes a medium for wrongdoers to spread
rumors, fake news, hoaxes, conspiracies, astroturf memes, clickbait, satire, smear …

The goal of our research is to create a predictive model of Web content credibility
evaluations, based on human evaluations. The model has to be based on a comprehensive …

Fast, open, free, and accessible, online social networks are massively used to share news
and various information. Unfortunately, their explosive growth amplifies the dissemination of …

The exchange of meta-information has always formed part of information behavior. In this
article, we show that this rule also extends to conversational search. Information about the …

Search engines often provide featured snippets, which are boxed and placed above other
results with the aim of directly answering user queries. To learn about how users judge the …

Podcasts are spoken documents across a wide-range of genres and styles, with growing
listenership across the world, and a rapidly lowering barrier to entry for both listeners and …