Abstract
The rising challenges of health misinformation on social media pose a critical concern, as the persistence and proliferation of inaccurate health news make it difficult for individuals to distinguish between true and false information. This research examines the alignment of perspectives between individuals and health issues, focusing on how this alignment affects the diagnosticity of health information. Two moderators, platform types and health threat impacts, are explored to deepen understanding of their effects. This research underscores the impact of information evaluations when dealing with multi-platform confirmation. Additionally, it addresses the effect of health threats on perspective alignment and their influences. Two experimental studies are proposed to enhance healthcare evaluations, recommending incorporating multiple platforms and deeper reflection on higher-risk health issues to overcome confirmation bias. The guidelines strive to contribute to a more informed and health-conscious society, mitigating the impact of misinformation and enabling informed evaluations based on accurate health information.
| Original language | English |
|---|---|
| Title of host publication | PACIS 2024 Proceedings |
| Publisher | Association for Information Systems |
| Number of pages | 9 |
| ISBN (Print) | 978-1-958200-12-4 |
| Publication status | Published - 2024 |
| Event | 2024 Pacific Asia Conference on Information Systems (PACIS 2024): Preparing The Next Generation For The IT-Driven Future - Ho Chi Minh City, Viet Nam Duration: 1 Jul 2024 → 5 Jul 2024 https://pacis2024.aisconferences.org/ https://aisel.aisnet.org/pacis2024/ |
Conference
| Conference | 2024 Pacific Asia Conference on Information Systems (PACIS 2024) |
|---|---|
| Place | Viet Nam |
| City | Ho Chi Minh City |
| Period | 1/07/24 → 5/07/24 |
| Internet address |
Funding
This research is partially supported by the NSTC grant 110-2410-H-002-006-MY3, NSTC grant 110-2628- H-002 -010 -MY2, NSTC grant 111-2423-H-002 -010 -MY4, NSTC grant 113-2811-H-002 -014, and Hong Kong Research Grants Council and City University of Hong Kong (Project No. CityU 11509223).
Research Keywords
- IS healthcare
- confirmation bias
- perspective alignment
- information diagnosticity
- health threat
RGC Funding Information
- RGC-funded
Fingerprint
Dive into the research topics of 'Breaking Bias: Enhancing Healthcare Information Diagnosticity'. Together they form a unique fingerprint.Projects
- 1 Active
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GRF: Enhancing Diagnosticity and Credibility of Healthcare Information in Websites through Integrating Multiple Information Sources: Impact of Prior Beliefs and Consistency of Different Information Sources
SIA, C. L. (Principal Investigator / Project Coordinator), NAH, F. H. (Co-Investigator), Peng, C.-H. (Co-Investigator) & SIAU, K. L. (Co-Investigator)
1/01/24 → …
Project: Research
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