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 …

Although media bias detection is a complex multi-task problem, there is, to date, no unified
benchmark grouping these evaluation tasks. We introduce the Media Bias Identification …

With an experimental design, this study examined the effect of source cues (Human vs. AI)
on hostile media bias through heuristic machine evaluation of machine and human social …

News stories circulating online, especially on social media platforms, are nowadays a
primary source of information. Given the nature of social media, news no longer are just …

In this study, we contrast how different benefit and harm information formats and the
presence or absence of an ease‐of‐access nudge may facilitate COVID vaccination uptake …

Recent research shows that visualizing linguistic bias mitigates its negative effects.
However, reliable automatic detection methods to generate such visualizations require …

The recent health crisis and the rapid development of Artificial Intelligence have caused
misinformation on social media to flourish by becoming more sophisticated and challenging …

This article explores the extent to which journalistic interactive visualizations (JIVs) carry out
their role as a unique form of knowledge that is open for users' exploration and reading. To …

Marking biased texts is a practical approach to increase media bias awareness among news
consumers. However, little is known about the generalizability of such awareness to new …

News will have biases so long as people have opinions. However, as social media becomes
the primary entry point for news and partisan gaps increase, it is increasingly important for …