Traditional media outlets are known to report political news in a biased way, potentially affecting the political beliefs of the audience and even altering their voting behaviors. Many researchers focus on automatically detecting and identifying media bias in the news, but only very few studies exist that systematically analyze how theses biases can be best visualized and communicated. We create three manually annotated datasets and test varying visualization strategies. The results show no strong effects of becoming aware of the bias of the treatment groups compared to the control group, although a visualization of hand-annotated bias communicated bias instances more effectively than a framing visualization. Showing participants an overview page, which opposes different viewpoints on the same topic, does not yield differences in respondents' bias perception. Using a multilevel model, we find that perceived journalist bias is significantly related to perceived political extremeness and impartiality of the article.
Viable Threat on News Reading: Generating Biased News Using Natural Language Models
Indraprastha Institute of Information Technology - Delhi（德里英迪拉普拉斯信息技术学院）；National Institute of Informatics（国立信息学研究所）；The Graduate University for Advanced Studies, SOKENDAI（综合研究大学院大学）；University of Tokyo（东京大学）
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media
School of Computing and AI, Arizona State University（亚利桑那州立大学计算与人工智能学院）；Department of Computer Science, University of Illinois Chicago（芝加哥伊利诺伊大学计算机科学系）；ByteDance Research（字节跳动研究院）
University of Toronto（多伦多大学）；Environmental Resources Management（环境资源管理公司）；DeepBlue Academy of Sciences（深蓝科学院）；Toronto Metropolitan University（多伦多都会大学）；The University of Sydney（悉尼大学）
Counterspeech for Mitigating the Influence of Media Bias: Comparing Human and LLM-Generated Responses
The Chinese University of Hong Kong, Hong Kong, China（香港中文大学）；MoE Key Laboratory of High Confidence Software Technologies（高可信软件技术国家重点实验室）；Harbin Institute of Technology, Shenzhen, China（哈尔滨工业大学（深圳））
