Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media

News media has been frequently utilized as a political tool to stray from facts, making biased statements and claims without evidence. During the COVID-19 vaccine campaign, politically biased news (PBN) has significantly undermined public trust in vaccines. Despite medical evidence showing the benefits of these vaccines, the misperceptions of the vaccine's safety, risks, and efficacy have led to a non-negligible fraction of the population resistant to receiving the vaccine. In this paper, we analyze: (i) how inherent vaccine stances subtly influence individuals' selection of news sources and participation in social media discussions; and (ii) the impact of exposure to PBN on users' attitudes toward vaccines. In doing so, we first curate a comprehensive dataset that connects PBN with related social media discourse. Utilizing advanced deep learning and causal inference techniques, we reveal distinct user behaviors between social media groups with various vaccine stances. Moreover, we observe that individuals with moderate stances, particularly the vaccine-hesitant majority, are more vulnerable to the influence of PBN compared to those with extreme views. Our findings provide critical insights to foster this line of research.

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Publication Details

Published
2024-10-06
DOI
https://doi.org/10.1109/dsaa61799.2024.10722800
Citations
5
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
5.66

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article

Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media

Huan Liu, Ruocheng Guo, Lu Cheng, Zhen Tan et al.
5 citations
Misinformation and Its Impacts
5.66
article

Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media

Huan Liu, Ruocheng Guo, Lu Cheng, Zhen Tan, Bohan Jiang
article en
5 citations

Abstract

News media has been frequently utilized as a political tool to stray from facts, making biased statements and claims without evidence. During the COVID-19 vaccine campaign, politically biased news (PBN) has significantly undermined public trust in vaccines. Despite medical evidence showing the benefits of these vaccines, the misperceptions of the vaccine's safety, risks, and efficacy have led to a non-negligible fraction of the population resistant to receiving the vaccine. In this paper, we analyze: (i) how inherent vaccine stances subtly influence individuals' selection of news sources and participation in social media discussions; and (ii) the impact of exposure to PBN on users' attitudes toward vaccines. In doing so, we first curate a comprehensive dataset that connects PBN with related social media discourse. Utilizing advanced deep learning and causal inference techniques, we reveal distinct user behaviors between social media groups with various vaccine stances. Moreover, we observe that individuals with moderate stances, particularly the vaccine-hesitant majority, are more vulnerable to the influence of PBN compared to those with extreme views. Our findings provide critical insights to foster this line of research.

University of Illinois Chicago (US), Arizona State University (US)
National Science Foundation
Openalex Percentile: Top 4%
Misinformation and Its Impacts
5.66
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