The ability to generalize well is one of the primary desiderata for models of natural language
processing (NLP), but what 'good generalization'entails and how it should be evaluated is …

The way the media presents events can significantly affect public perception, which in turn
can alter people's beliefs and views. Media bias describes a one-sided or polarizing …

The ability to generalise well is one of the primary desiderata of natural language
processing (NLP). Yet, what'good generalisation'entails and how it should be evaluated is …

Research on automated social media rumour verification, the task of identifying the veracity
of questionable information circulating on social media, has yielded neural models …

We present a data set consisting of German news articles labeled for political bias on a five-
point scale in a semi-supervised way. While earlier work on hyperpartisan news detection …

Toxicity and bias in online conversations hinder respectful interactions, leading to issues
such as harassment and discrimination. While advancements in natural language …

As social media becomes a hotbed for the spread of misinformation, the crucial task of rumor
detection has witnessed promising advances fostered by open-source benchmark datasets …

The emergence of social media as one of the main platforms for people to access news has
enabled the wide dissemination of fake news, having serious impacts on society. Thus, it is …

There are certain challenges in news recommender systems that arise due to changing
users' preferences over dynamically generated news articles. It is important to expose users …

Throughout the COVID-19 pandemic, a parallel infodemic has also been going on such that
the information has been spreading faster than the virus itself. During this time, every …