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 wide spread of fake news and its negative impacts on society has attracted a lot of
attention to fake news detection. In existing fake news detection methods, particular attention …

Political viewpoints identification (PVI) is a task in Natural Language Processing that takes
political texts and recognizes the writer's opinions towards a political matter. PVI reduces the …

Modeling political actors is at the core of quantitative political science. Existing works have
incorporated contextual information to better learn the representation of political actors for …

The political stance prediction for news articles has been widely studied to mitigate the echo
chamber effect–people fall into their thoughts and reinforce their pre-existing beliefs. The …

Political perspective detection has become an increasingly important task that can help
combat echo chambers and political polarization. Previous approaches generally focus on …

With the advent of pretrained language models (LMs), increasing research efforts have been
focusing on infusing commonsense and domain-specific knowledge to prepare LMs for …

Modeling the ideological perspectives of political actors is an essential task in computational
political science with applications in many downstream tasks. Existing approaches are …

The inference of politically-oriented information from text data is a popular research topic in
Natural Language Processing (NLP) at both text-and author-level. In recent years, studies of …

Media with partisan tendencies publish news articles to support their preferred political
parties to guide the direction of public opinion. Therefore, discovering political bias in news …