Media bias and the intolerance of media outlets and citizens to deal with opposing points of
view pose a threat to the proper functioning of democratic processes. In this respect, we …

This article presents a comprehensive and practical guide for practitioners and end-users
working with Large Language Models (LLMs) in their downstream Natural Language …

Large language models (LLMs) have recently shown great potential for in-context learning,
where LLMs learn a new task simply by conditioning on a few input-label pairs (prompts) …

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 …

Understanding and characterizing the discus-sions around key events in news streams is
important for analyzing political discourse. In this work, we study the problem of identification …

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

Propaganda is a form of deceptive narratives that instigate or mislead the public, usually
with a political purpose. In this paper, we aim to identify propaganda in political news at two …

Conspiracy theories, as a type of misinformation, are narratives that explains an event or
situation in an irrational or malicious manner. While most previous work examined …

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

We address an important gap in detecting political bias in news articles. Previous works that
perform document classification can be influenced by the writing style of each news outlet …