Full metadata
Title
Hostility Versus Benevolence: Evocative Language as a Moderator of Knowledge Revision on Twitter
Description
I studied how hostile and benevolent language influences one’s ability to change their misconceptions. Participants were less likely to revise their misconceptions when reading tweets with hostile language than those exposed to benevolent language, which stresses adopting a neutral or benevolent tone to increase the likelihood of successful revision. This may be due to a shift of memory resources from the less engaging Tweet information to the more engaging, evocative hostile language.
Date Created
2023-05
Contributors
- Oloughlin, Connor (Author)
- McNamara, Danielle (Thesis director)
- Doane, Leah (Committee member)
- Ha, Thao (Committee member)
- Barrett, The Honors College (Contributor)
- Department of Psychology (Contributor)
Topical Subject
Resource Type
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Series
Academic Year 2022-2023
Handle
https://hdl.handle.net/2286/R.2.N.186806
System Created
- 2023-05-22 11:37:43
System Modified
- 2023-05-22 11:42:16
- 1 year 6 months ago
Additional Formats