A comparative examination of factors that affect the credibility of health information on social media. Issue 1 (1st February 2019)

• Record Type: Journal Article
• Authors: Kim, Heejun; Choi, Bogeum
• Is Part Of: Proceedings of the Association for Information Science and Technology. Volume 55:Issue 1(2018)
• Page Start: 843
• Page End: 844
• Publication Date: 2019-02-01
• Subjects: Credibility -- factors -- comparative study -- content analysis -- regression analysis -- health information -- social media; Information science -- Congresses; Information technology -- Congresses; Information science; Information technology; Conference papers and proceedings; 020
• DOI: 10.1002/pra2.2018.14505501141
• Languages: English
• ISSNs: 2373-9231

Abstract

ABSTRACT: The purpose of this research is to investigate factors affecting the perceived credibility of health information on social media and their varying effects on different platforms. We incorporated Elaboration Likelihood Model as a theoretical framework for our inductive content analysis. Then we conducted a correlation analysis and regression analyses to examine the relationship between the perceived credibility and identified factors. Our study discovered an extensive set of credibility factors and statistically significant effects made by platform‐specific factors.