Computer Science

Removing AI’s Sentiment Manipulation of Personalized News Delivery

C. Wu, F. Wu, et al.

This research by Chuhan Wu, Fangzhao Wu, Tao Qi, Wei-Qiang Zhang, Xing Xie, and Yongfeng Huang unveils how AI can manipulate news sentiment, particularly increasing the prevalence of negative stories, all without human input. By implementing a novel sentiment-debiasing method, they demonstrate a remarkable reduction in sentiment bias, paving the way for more responsible AI in journalism.

00:00

~3 min • Beginner • English

Related Publications

Explore these studies to deepen your understanding of the subject.

Social Work

News media in crisis: a sentiment and emotion analysis of US news articles on unemployment in the COVID-19 pandemic

L. Yu and L. Yang

Political Science

Chinese online nationalism as imaginary engagement: an automated sentiment analysis of Tencent news comments on the 2012 Diaoyu (Senkaku) Islands incident

Q. Zhang and C. Wang

Political Science

Null effects of news exposure: a test of the (un)desirable effects of a 'news vacation' and 'news binging'

M. Wojcieszak, B. C. V. Hohenberg, et al.

Social Work

Understanding the role of media in the formation of public sentiment towards the police

R. Succar, S. Ramallo, et al.

Listen, Learn & Level Up

Over 10,000 hours of research content in 25+ fields, available in 12+ languages.

No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.

listen to research audio papers with researchbunny