Health Misinformation Across Multiple Digital Ecologies: Qualitative Study of Data From Interviews With International Students

Author:

Bahl RashikaORCID,Chang ShantonORCID,McKay DanaORCID,Buchanan GeorgeORCID

Abstract

Background Transient migrants such as international students have received limited support from host country governments throughout the COVID-19 pandemic. An increase in misinformation, resulting in poor health outcomes for individuals, may impact an already vulnerable group. Objective Existing research examines the spread of misinformation. Similarly, there is extensive literature on the health information behavior of international students. However, there is a gap in the literature focusing on international students’ interaction with health misinformation. This exploratory research aims to address this gap by examining international students’ interaction with health misinformation during the COVID-19 pandemic. Methods A total of 11 participants took part in semistructured interviews and a health misinformation-identification exercise via Zoom. The data collected were subjected to qualitative thematic analysis. Multiple rounds of coding, checked by other coders, revealed 2 themes and 6 subthemes. Results The 2 main themes that emerged were (1) approaches to dealing with health misinformation and (2) how international students navigate across multiple digital ecologies. Results show that international students who draw on multiple digital ecologies for information reliably identify misinformation, suggesting that the use of multiple digital ecologies may have a protective effect against health misinformation. Conclusions Findings show that international students encounter health misinformation across multiple digital ecologies, and they also compare information across multiple ecologies. This comparison may support them in identifying health misinformation. Thus, the findings of this study combat narratives of international students’ susceptibility to misinformation.

Publisher

JMIR Publications Inc.

Subject

Health Informatics

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Communication inequalities and incomplete data hinder understanding of how social media affect vaccine uptake;BMJ;2024-06-20

2. Rumours. Who believes them?;Journal of Information, Communication and Ethics in Society;2024-05-08

3. Data-Driven Regression Modeling for Measuring the Influence of Infodemic over Social Media;2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS);2023-09-22

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