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Mediated Misinformation: Questions Answered, More Questions to Ask
Abstract
With the rampant increase of misinformation produced and distributed online at an alarming rate, it has become more imperative than ever to understand what makes people fall for misinformation. Drawing on the literature on persuasion, credibility of online information, and digital deception, we first review a list of factors associated with the source, message, channel, and receiver that may alter the extent to which people judge information as truthful and believable. Based on critical assessments of the gaps in the literature, suggestions are offered to shape future research agendas and develop an integrative conceptual framework.
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“As a further measure, firms can deploy professional fact-checking bodies or individuals to verify and detect fake news (or deepfakes) that might be propagated against their products, services, and brands (Lee & Shin, 2021; Nieminen & Rapeli, 2019; Zannettou et al., 2019).”
From Deepfakes: Deceptions, mitigations, and opportunities (2023) · cites this paper as Lee & Shin, 2021
In the citing paper
“Additionally, developing or gathering knowledge about products, brands, and services by customers will enhance their potential to identify and avoid misinformation (Lee & Shin, 2021).”
From Deepfakes: Deceptions, mitigations, and opportunities (2023) · cites this paper as Lee & Shin, 2021
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Metadata
- Authors
- Lee, E.-J., & Shin, S. Y.
- Affiliations
- Seoul National University (KR)
- University of Hawaiʻi at Mānoa (US)
- Corresponding author
- Lee, Eun-Ju
- Venue
- American Behavioral Scientist
- Publisher
- SAGE Publications
- Published
- 2019-08-23
- Volume
- 65
- Issue
- 2
- Pages
- 259-276
- ISSN
- 0002-7642 (ISSN-L)
- 1552-3381
- OpenAlex
- W2969897395
- Cited by
- 50
- References
- 76
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 8 · 2023: 16 · 2022: 9 · 2021: 6 · 2020: 4
- FWCI
- 9.57
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Behavioral Scientist (publishedVersion)
- Funders
- Institute of Communication Research at Seoul National University, the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2018S1A5B8070398)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Sociology and Political Science › Islamic Finance and Communication
- Social Sciences › Communication › Communication and COVID-19 Impact
- Keywords
- misinformation, persuasion, digital deception, source credibility, message characteristics, communication channels, truth judgments, belief formation, conceptual framework
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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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- CoChat. (2026). Citation check: Mediated Misinformation: Questions Answered, More Questions to Ask. https://app.cochat.ai/papers/10.1177/0002764219869403
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- Lee, E.-J., & Shin, S. Y. (2021). Mediated Misinformation: Questions Answered, More Questions to Ask. American Behavioral Scientist. https://doi.org/10.1177/0002764219869403