Factors influencing online health information credibility: a meta-analysis

IF 2.4 3区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Aslib Journal of Information Management Pub Date : 2024-03-14 DOI:10.1108/ajim-05-2023-0155
Yuehua Zhao, Linyi Zhang, Chenxi Zeng, Yidan Chen, Wenrui Lu, Ningyuan Song
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引用次数: 0

Abstract

Purpose

This study aims to address the growing importance of online health information (OHI) and the associated uncertainty. Although previous research has explored factors influencing the credibility of OHI, results have been inconsistent. Therefore, this study aims to identify the essential factors that influence the perceived credibility of OHI by conducting a meta-analysis of articles published from 2010 to 2022. The study also aims to examine the moderating effects of demographic characteristics, study design and the platforms where health information is located.

Design/methodology/approach

Based on the Prominence-Interpretation Theory (PIT), a meta-analysis of 25 empirical studies was conducted to explore 12 factors related to information content and source, social interaction, individual and media affordance. Moderators such as age, education level, gender of participants, sample size, platforms and research design were also examined.

Findings

Results suggest that all factors, except social support, have significant effects on the credibility of OHI. Among them, argument quality had the strongest correlation with credibility and individual factors were also found to be relevant. Moderating effects indicate that social support was significantly moderated by age and education level. Different sample sizes may lead to variations in the role of social endorsement, while personal involvement was moderated by sample size, platform and study design.

Originality/value

This study enriches the application of PIT in the health domain and provides guidance for scholars to expand the scope of research on factors influencing OHI credibility.

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影响在线健康信息可信度的因素:荟萃分析
目的 本研究旨在探讨在线健康信息(OHI)日益增长的重要性及相关的不确定性。尽管以往的研究探讨了影响在线健康信息可信度的因素,但结果并不一致。因此,本研究旨在通过对 2010 年至 2022 年间发表的文章进行元分析,找出影响人们感知到的在线健康信息可信度的基本因素。设计/方法/途径基于突出-解释理论(PIT),对 25 项实证研究进行了元分析,探讨了与信息内容和来源、社会互动、个人和媒体承受能力相关的 12 个因素。研究结果表明,除社会支持外,所有因素都对信息可信度有显著影响。其中,论据质量与可信度的相关性最强,个体因素也与可信度有关。调节效应表明,年龄和教育水平对社会支持有明显的调节作用。不同的样本量可能会导致社会认可作用的差异,而个人参与则受到样本量、平台和研究设计的调节。原创性/价值本研究丰富了 PIT 在健康领域的应用,为学者们拓展 OHI 可信度影响因素的研究范围提供了指导。
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来源期刊
Aslib Journal of Information Management
Aslib Journal of Information Management COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
5.30
自引率
19.20%
发文量
79
期刊介绍: Aslib Journal of Information Management covers a broad range of issues in the field, including economic, behavioural, social, ethical, technological, international, business-related, political and management-orientated factors. Contributors are encouraged to spell out the practical implications of their work. Aslib Journal of Information Management Areas of interest include topics such as social media, data protection, search engines, information retrieval, digital libraries, information behaviour, intellectual property and copyright, information industry, digital repositories and information policy and governance.
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