Health information post-encountering behaviours on social media platforms

Author:

Fallatah Khalid U,Harvey Morgan A,Rutter Sophie

Abstract

Introduction. While much research has been done into how people encounter information, little has investigated post-encountering behaviours and their motivating factors. This exploratory study aims to study people’s behaviours after encountering health information on social media platforms. Method. Participants were recruited through the X platform (previously Twitter) by posting an invitation about the study.  39 participants from the UK took part in the diary study conducted from 3 June 2023 to 1 July 2023. Using their personal social media platforms, they submitted 71 diary entries of encountered health information through an online form. Analysis. Inductive content analysis (open coding) was used for the analysis. Results. The findings show that participants’ post-encountering behaviours consist of saving, sharing, directly using, discussing, exploring, ignoring, returning to browsing, and making mental notes of encountered health information. Our results indicate that participants are likely to experience emotional changes due to the influence of the health information they encounter. Findings also show that the influencing factors can be grouped into personal, informational, and health-related factors. Conclusions. This study provides insights into the nature of health information post-encountering behaviours on an everyday basis and their motivating factors. It also highlights the need for more in-depth investigations into the potential factors that moderate their relationships.

Publisher

University of Boras, Faculty of Librarianship, Information, Education and IT

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3