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Gist Knowledge and Misinformation Acceptance: An Application of Fuzzy Trace Theory
- Hwang, Yoori;
- Jeong, Se-Hoon
Citations
WEB OF SCIENCE
4Citations
SCOPUS
4초록
Applying fuzzy trace theory to misinformation related to COVID-19, the present study (a) examines the roles of gist knowledge in predicting misinformation acceptance, and (b) further examines whether a gist cue in fact checking scales affects the level of gist knowledge. Study 1 (a survey) showed that categorical gist knowledge was negatively related to misinformation acceptance, whereas ordinal gist knowledge was not, when both types of knowledge were included in the model. In addition, Study 2 (an experiment) showed that fact checking scales containing a categorical gist cue resulted in greater categorical gist knowledge.
키워드
RISK PERCEPTION; FACT-CHECKING; NUMERACY; INFORMATION; DECISIONS; BEHAVIORS; CANCER; FORMAT
- 제목
- Gist Knowledge and Misinformation Acceptance: An Application of Fuzzy Trace Theory
- 저자
- Hwang, Yoori; Jeong, Se-Hoon
- 발행일
- 2023-04-13
- 유형
- Article; Early Access
- 권
- 39
- 호
- 5
- 페이지
- 937 ~ 944