Framing analysis is predominantly qualitative and quantitative, examining a small dataset
with manual coding. Easy access to digital data in the last two decades prompts scholars in …

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 …

This study focuses on media bias detection, crucial in today's era of influential social media
platforms shaping individual attitudes and opinions. In contrast to prior work that primarily …

The automation of surveillance systems, driven by the rapid development of computer vision
technology, has significantly enhanced the analysis of surveillance videos, particularly in …

Understanding how online media frame issues is crucial due to their impact on public
opinion. Research on framing using natural language processing techniques mainly focuses …

Given our society's increased exposure to multimedia formats on social media platforms,
efforts to understand how digital content impacts people's emotions are burgeoning. As …

This study examines how the news framing of immigration influences the public's feelings
toward immigrants and their preference for immigration policy in the United States. Unlike …

Predicting the political bias of news headlines is a challenging task that becomes even more
challenging in a multilingual setting with low-resource languages. To deal with this, we …

This study explores the affective responses and newsworthiness perceptions of generative
AI for visual journalism. While generative AI offers advantages for newsrooms in terms of …

We aim to develop methods for understanding how multimedia news exposure can affect
people's emotional responses, and we especially focus on news content related to gun …