Complete Schedule
Rating Tweets from News Sources
Presentation Type
Poster Presentation
Abstract
Liberal and conservative participants rated the trustworthiness of several tweets that were created based on common misinformation techniques. Participants were more likely to rate misinformation as trustworthy if its source and content aligned with their political beliefs, but other individual differences (e.g., numeracy, cognitive flexibility) were unrelated to trustworthiness ratings.
Start Date
11-4-2022 10:00 AM
End Date
11-4-2022 10:50 AM
Faculty Advisor
Helen C. Harton
Department
Department of Psychology
Student Type
Graduate Student
Copyright
©2022 Ian Beatty and Taylor Simington
Recommended Citation
Beatty, Ian and Simington, Taylor, "Rating Tweets from News Sources" (2022). INSPIRE Student Research and Engagement Conference. 3.
https://scholarworks.uni.edu/csbsresearchconf/2022/all/3
Rating Tweets from News Sources
Liberal and conservative participants rated the trustworthiness of several tweets that were created based on common misinformation techniques. Participants were more likely to rate misinformation as trustworthy if its source and content aligned with their political beliefs, but other individual differences (e.g., numeracy, cognitive flexibility) were unrelated to trustworthiness ratings.
Comments
Award: Intercollegiate Academic Fund
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