Breaking Bias: Enhancing Healthcare Information Diagnosticity
Part Of
Pacific Asia Conference on Information Systems 2024 Proceedings
ISBN (of the container)
9781958200124
Date Issued
2024
Author(s)
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.
Event(s)
2024 Pacific Asia Conference on Information Systems (PACIS 2024), Ho Chi Minh City, Viet Nam
Subjects
confirmation bias
health threat
information diagnosticity
IS healthcare
perspective alignment
Description
2024 Pacific Asia Conference on Information Systems (PACIS 2024): Preparing The Next Generation For The IT-Driven Future - Ho Chi Minh City, Viet Nam
Type
conference paper