Why Are People Duped by Healthcare Disinformation Campaigns?

Simple item page
dc.contributor.authorGeorge, Joey F.
dc.contributor.authorMannina, Sophia
dc.date.accessioned2023-12-26T18:35:52Z
dc.date.available2023-12-26T18:35:52Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2024.017
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.other141f2fdd-9cdc-4025-b7cc-2c903d550774
dc.identifier.urihttps://hdl.handle.net/10125/106392
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAdversarial Behavior in Collaboration and Social Media Systems
dc.subjectdeception detection
dc.subjectdisinformation
dc.subjecthealthcare
dc.subjectsocial media
dc.titleWhy Are People Duped by Healthcare Disinformation Campaigns?
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractHealth 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.
dcterms.extent10 pages
prism.startingpage136

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
0014.pdf
Size:
412.09 KB
Format:
Adobe Portable Document Format
Download

Collections

Adversarial Behavior in Collaboration and Social Media Systems