The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Low-Involvement Learning: Memory without Evaluation
Abstract
In three learning experiments we examined how subjects' level of involvement during initial exposure to consumer trivia influences what they learn and what they subsequently come to believe. Subjects rated consumer trivia statements as more true when they had been exposed to those statements earlier in the experiment. Simple repetition increased subsequent truth ratings. Moreover, when subjects processed the information during initial exposure in a less involving fashion, the effect of repetition on truth became more pronounced. Familiarity emerged as a key mediator of the truth effect. When subjects experienced an “it rings a bell” reaction, they judged the information to be more true. Finally, under low-involvement processing, the truth effect increased when subjects engaged in a processing task (rote rehearsal) that increased familiarity without increasing evaluative processing of the information.
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Implicit social cognition: Attitudes, self-esteem, and stereotypes
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Prior exposure increases perceived accuracy of fake news
Pennycook, G., Cannon, T. D., & Rand, D. G. (2018) · Journal of Experimental Psychology General · doi:10.1037/xge0000465 · Cited by 1,268
MEDIA LEGITIMATION EFFECTS IN THE MARKET FOR INITIAL PUBLIC OFFERINGS.
Pollock, T. G., & Rindova, V. P. (2003) · Academy of Management Journal · doi:10.2307/30040654 · Cited by 1,122
Development of a Scale to Measure Consumer Skepticism Toward Advertising
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Metadata
- Authors
- Hawkins, S. A., & Hoch, S. J.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1992-09
- Volume
- 19
- Issue
- 2
- Pages
- 212
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2138347732
- Cited by
- 378
- References
- 11
- FWCI
- 1.01
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
