Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
Health disinformation campaigns pose a serious threat to societal well-being. To better understand how these campaigns are propagated, this research evaluates how successful people are at identifying false health-related content. Using a survey methodology, a sample of 71 university students was asked to review 10 pairs of social media posts and determine their veracity. Mixed models were used to analyze successful detection of disinformation. Factors that affected participants’ judgements were qualitatively assessed. Participants demonstrated a 90% success rate when differentiating between true and false posts, indicating a high level of success when confronted with a choice between two posts. Commonly used indicators of honest and dishonest content were also identified. These insights offer a nuanced understanding of social media users’ evaluations of online content and can inform mitigation strategies designed to combat health disinformation campaigns.
Recommended Citation
George, Joey F. and Mannina, Sophia, "Why Are People Duped by Healthcare Disinformation Campaigns?" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 5.
https://aisel.aisnet.org/hicss-57/cl/social_media/5
Why Are People Duped by Healthcare Disinformation Campaigns?
Hilton Hawaiian Village, Honolulu, Hawaii
Health disinformation campaigns pose a serious threat to societal well-being. To better understand how these campaigns are propagated, this research evaluates how successful people are at identifying false health-related content. Using a survey methodology, a sample of 71 university students was asked to review 10 pairs of social media posts and determine their veracity. Mixed models were used to analyze successful detection of disinformation. Factors that affected participants’ judgements were qualitatively assessed. Participants demonstrated a 90% success rate when differentiating between true and false posts, indicating a high level of success when confronted with a choice between two posts. Commonly used indicators of honest and dishonest content were also identified. These insights offer a nuanced understanding of social media users’ evaluations of online content and can inform mitigation strategies designed to combat health disinformation campaigns.
https://aisel.aisnet.org/hicss-57/cl/social_media/5