This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Quality/Credibility of eHealth Information and Trust Issues (531) Policy for Infodemiology and Infodemic Management (9)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50353, first published .
Investigation of Public Acceptance of Misinformation Correction in Social Media Based on Sentiment Attributions: Infodemiology Study Using Aspect-Based Sentiment Analysis

Investigation of Public Acceptance of Misinformation Correction in Social Media Based on Sentiment Attributions: Infodemiology Study Using Aspect-Based Sentiment Analysis

Investigation of Public Acceptance of Misinformation Correction in Social Media Based on Sentiment Attributions: Infodemiology Study Using Aspect-Based Sentiment Analysis

Authors of this article:

Ning Ma1 Author Orcid Image ;   Guang Yu1 Author Orcid Image ;   Xin Jin2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Ning Ma   1 , DM ;   Guang Yu   1 , Prof Dr ;   Xin Jin   2 , JSD

1 School of Management, Harbin Institute of Technology, Harbin, China

2 School of Social Sciences, Harbin Institute of Technology, Harbin, China

Corresponding Author:

  • Guang Yu, Prof Dr
  • School of Management
  • Harbin Institute of Technology
  • 92 West Dazhi Street
  • Harbin, 150001
  • China
  • Phone: 86 139 3649 0774
  • Email: yug@hit.edu.cn