More “likes” or no “likes”? An Online Experiment Evaluating the Effects of Secondary Cues on the Perceived Source Credibility of Corrective Messages

dc.contributor.authorChen, Li
dc.date.accessioned2021-04-07T19:06:53Z
dc.date.available2021-04-07T19:06:53Z
dc.date.issued2021-03-04
dc.description.abstractAdopting an experimental design, this study examined the combined effects of tweet popularity data, profile image type, and need for cognition (NFC) on individuals’ perceived source credibility (PSC) of corrective messages. Three major findings were identified. First, PSC is positively associated with perceived message effectiveness and intentions to retweet a corrective message. Second, NFC moderates the effects of popularity data on PSC, such that high NFC individuals perceived tweets without popularity data to be most credible while low NFC individuals considered tweets with high popularity data most credible. Finally, in the high NFC group, a combination of a medical logo profile image and no tweet popularity data resulted in the highest PSC, and in the low NFC group, a combination of a real person profile image and high popularity data condition resulted in the highest PSC.en_US
dc.description.sponsorshipThe project is supported by the WTAMU Foundation Development Grant (grant code: S20-10).en_US
dc.identifier.citationChen, L. (2021). Vaccine-related health misinformation correction: how to write the message and where to publish it? An online experiment evaluating the effects of humor and social media platform on the perceived effectiveness of corrective messages. Paper to be presented at the 2021 International Communication Association (ICA) annual conference (virtual conference).en_US
dc.identifier.urihttps://hdl.handle.net/11310/431
dc.language.isoen_USen_US
dc.titleMore “likes” or no “likes”? An Online Experiment Evaluating the Effects of Secondary Cues on the Perceived Source Credibility of Corrective Messagesen_US
dc.typePresentationen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Chen.pdf
Size:
504.75 KB
Format:
Adobe Portable Document Format
Description:
More likes, Chen, WTAMU 2021

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: