The DOI matches its Crossref record; 104 of the 114 references it cites were found in a registry or an index.
Metacognitive Experiences and the Intricacies of Setting People Straight: Implications for Debiasing and Public Information Campaigns
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“This is especially true because corrective strategies may appear effective immediately yet backfire even after a short delay, when the message they tried to convey gradually fades from memory, allowing common misconceptions to be more easily remembered and identified as true [25].”
From Misinformation lingers in memory: Failure of three pro-vaccination strategies (2017) · cites this paper as [25]
Citations
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“Because messages from high credibility sources are more influential, as known since Hovland and Weiss (1951), this will further enhance the acceptance of the false claim—including its acceptance by others, who are told that one learned it from a credible source.”
Background
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Metadata
- Authors
- Schwarz, N., Sanna, L. J., Skurnik, I., & Yoon, C.
- Venue
- Advances in Experimental Social Psychology
- Publisher
- Elsevier
- Published
- 2007
- Pages
- 127-161
- ISSN
- 0065-2601 (ISSN-L)
- OpenAlex
- W1531042714
- Cited by
- 441
- References
- 114
- Citations by year
- 2026: 16 · 2025: 17 · 2024: 28 · 2023: 26 · 2022: 32 · 2021: 53 · 2020: 52 · 2019: 25 · 2018: 22 · 2017: 24 · 2016: 18 · 2015: 26 · 2014: 7 · 2013: 19 · 2012: 12
- FWCI
- 32.12
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Advances in experimental social psychology (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
- Keywords
- metacognition, metacognitive experience, judgment and decision making, bias mitigation, information campaigns, fluency, experiential information
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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