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

Physician and Health Services Rating by Consumers (128) Quality/Credibility of eHealth Information and Trust Issues (531) Peer-to-Peer Support and Online Communities (636)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38306, first published .
The Impact of Ambivalent Attitudes on the Helpfulness of Web-Based Reviews: Secondary Analysis of Data From a Large Physician Review Website

The Impact of Ambivalent Attitudes on the Helpfulness of Web-Based Reviews: Secondary Analysis of Data From a Large Physician Review Website

The Impact of Ambivalent Attitudes on the Helpfulness of Web-Based Reviews: Secondary Analysis of Data From a Large Physician Review Website

Authors of this article:

Wei Dong1, 2 Author Orcid Image ;   Yongmei Liu1 Author Orcid Image ;   Zhangxiang Zhu3 Author Orcid Image ;   Xianye Cao4 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Šola H, Qureshi F, Khawaja S. AI-Powered Eye Tracking for Bias Detection in Online Course Reviews: A Udemy Case Study. Big Data and Cognitive Computing 2024;8(11):144 View