How does Information Spread? An Exploratory Study of True and Fake News
Files
Date
2020-01-07
Authors
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Narrator
Transcriber
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
Ending Page
Alternative Title
Abstract
The intentional and non-intentional use of social media platforms resulting in digital wildfires of misinformation has increased significantly over the last few years. However, the factors that influence this rapid spread in the online space remain largely unknown. We study how believability and intention to share information are influenced by multiple factors, in addition to confirmation bias. We conducted an experiment where a mix of true and false articles was evaluated by study participants. Using hierarchical linear modelling to analyze our data, we found that, in addition to confirmation bias, believability is influenced by source endorser credibility and argument quality, both of which are moderated by the type of information – true or false. Source likeability had a positive main effect on believability. After controlling for belief and confirmation bias, intention to share information was affected by source endorser credibility and information source likeability.
Description
Keywords
Social Impact Organizing and Collaborating, belief, confirmation bias, elaboration likelihood model, fake news, intention
Citation
Extent
10 pages
Format
Geographic Location
Time Period
Related To
Proceedings of the 53rd Hawaii International Conference on System Sciences
Related To (URI)
Table of Contents
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Local Contexts
Collections
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.