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 manifestation and effect of bias in news reporting have been central topics in the social
sciences for decades, and have received increasing attention in the NLP community …

Misinformation is a pressing issue in modern society. It arouses a mixture of anger, distrust,
confusion, and anxiety that cause damage on our daily life judgments and public policy …

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 …

Despite increasing interest in the automatic detection of media frames in NLP, the problem is
typically simplified as single-label classification and adopts a topic-like view on frames …

Modern news aggregators do the hard work of organizing a large news stream, creating
collections for a given news story with tens of source options. This paper shows that …

Opinion summarization is automatically generating summaries from a variety of subjective
information, such as product reviews or political opinions. The challenge of opinions …

We propose to measure political bias in LLMs by analyzing both the content and style of
their generated content regarding political issues. Existing benchmarks and measures focus …

Dialogue summarization has recently garnered significant attention due to its wide range of
applications. However, existing methods for summarizing dialogues have limitations …

Framing bias plays a significant role in exacerbating political polarization by distorting the
perception of actual events. Media outlets with divergent political stances often use …