Public Attitudes Toward Violence Against Doctors: Sentiment Analysis of Chinese Users

This study simultaneously examined the dynamics of theme change and sentiment evolution in crises involving violence against doctors. It discovered that public sentiment evolved alongside thematic changes, with the dominant negative tone from the initial stage persisting throughout. This finding, distinguished from prior research, underscores the lasting influence of early public sentiment. The results offer valuable insights for medical institutions and authorities, suggesting the need for tailored risk communication strategies responsive to the evolving themes and sentiments at different stages of a crisis.

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Publication Details

Journal
JMIR Medical Informatics
Published
2025-02-04
DOI
https://doi.org/10.2196/63772
Citations
2
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
8.40
Controls
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article

Public Attitudes Toward Violence Against Doctors: Sentiment Analysis of Chinese Users

Jin Wen, Xing Qu, Yuwen Zheng, Meirong Tian et al.
2 citations
JMIR Medical Informatics
Misinformation and Its Impacts
8.40
article

Public Attitudes Toward Violence Against Doctors: Sentiment Analysis of Chinese Users

Jin Wen, Xing Qu, Yuwen Zheng, Meirong Tian, Xiang Li, Lei Zhang, Jia Gao, Jingjing Chen
article en
2 citations

Abstract

This study simultaneously examined the dynamics of theme change and sentiment evolution in crises involving violence against doctors. It discovered that public sentiment evolved alongside thematic changes, with the dominant negative tone from the initial stage persisting throughout. This finding, distinguished from prior research, underscores the lasting influence of early public sentiment. The results offer valuable insights for medical institutions and authorities, suggesting the need for tailored risk communication strategies responsive to the evolving themes and sentiments at different stages of a crisis.

JMIR Medical InformaticsVol. 13
Sichuan University (CN), West China Hospital of Sichuan University (CN)
Gender equality
Openalex Percentile: Top 4%
Misinformation and Its Impacts
8.40
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