Cited by 116Misinformation and Its ImpactsEducational Strategies and EpistemologiesHealth Literacy and Information Accessibility

Making sense of credibility in complex information environments: the role of message sidedness, information source, and thinking styles in credibility evaluation online

Open access
Flanagin, Andrew J., Winter, Stephan, Metzger, Miriam J.·2020·Information, Communication & Society

Abstract

An experiment using a representative sample of US. Internet users in the context of online encyclopedias is conducted to understand how the type of information source (expert-generated, user-generated, or hybrid [both expert- and user-generated]) and message sidedness (one- versus two-sided) affect perceived information credibility. Additionally, individual differences in cognitive styles, including need for cognition and flexible thinking, are hypothesized to moderate these relationships. Results showed that expert-generated messages are regarded as most credible, whereas two-sided messages were only perceived as more credible than one-sided messages when originating from a hybrid source. Moreover, the effect of message sidedness is stronger among people with higher flexible thinking, but not among those with high need for cognition. This study extends knowledge of source type to include the diversity of possibilities available online today, clarifies how message sidedness and type of information source affect the perceived credibility of online information, and offers new insight into how individual psychological differences affect the evaluation of online information credibility, including the identification of flexible thinking as an important variable in this domain. Results of this study help to clarify how people navigate the wide diversity of information options available today in efforts to locate credible information to guide their attitudes and behaviors.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/1369118x.2018.1547411

Cites

64 of 64 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • This reliance on cognitive shortcuts aligns closely with what Flanagin et al. (3) described as heuristic credibility assessment.

    “This reliance on cognitive shortcuts aligns closely with what Flanagin et al. (3) described as heuristic credibility assessment: a mode of information appraisal characterized by rapid judgements based on perceived source reputation and surface-level cues, rather than systematic and structured verification.”
  • Health misinformation has documented effects on preventive, diagnostic, and therapeutic decision-making at both individual and population levels.

    “Health misinformation, the circulation of false, inaccurate, or misleading health-related information regardless of intent, as emerged as a structural threat to global Public Health, with documented effects on preventive, diagnostic, and therapeutic decision-making at both individual and population levels (3, 6).”

    From Health misinformation, digital health literacy, and attitudes toward science among university students: an exploratory cross-sectional survey (2026) · cites this paper as [3]

    The section on perceptions of credibility online discusses how people judge information, and the study’s experimental conditions include two health topics, but neither addresses effects of health misinformation on care decisions. Searches for preventive, diagnostic, and therapeutic decision-making and for health-misinformation consequences found no supporting passage in our copy; page numbers were not provided. (LLM, conf=0.73)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 3

  1. Braatz, L. A. (2017). Consumer responses towards promotional posts: The effects of message sidedness and product depiction (Master's thesis). University of Twente, Twente, The Netherlands.
  2. Del Giudice, K. V. (2010). Trust on the web: The impact of social consensus on information credi- bility (Unpublished doctoral dissertation). University of Central Florida, Orlando, Florida. Retrieved from http://purl.fcla.edu/fcla/etd/CFE0003240
  3. In S. S. Sundar (Ed.), Handbook of the psychology of communication technology (pp. 445-466).

Cited by

Sorted by citations

Authors
Flanagin, A. J., Winter, S., & Metzger, M. J.
Affiliations
  • University of California, Santa Barbara (US)
  • University of Koblenz and Landau (DE)
Corresponding author
Flanagin, Andrew J.
Venue
Information, Communication & Society
Published
2018-11-27
Volume
23
Issue
7
Pages
1038-1056
ISSN
  • 1369-118X (ISSN-L)
  • 1468-4462
OpenAlex
W2902695958
Cited by
116
References
64
Citations by year
2026: 25 · 2025: 19 · 2024: 16 · 2023: 14 · 2022: 21 · 2021: 11 · 2020: 9 · 2019: 1
FWCI
11.92
Type
journal article
Language
en
Open access
Locations
  • Information Communication & Society (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Social Sciences › Psychology › Developmental and Educational Psychology › Educational Strategies and Epistemologies
  • Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
Keywords
information credibility, message sidedness, user-generated content, need for cognition, flexible thinking, cognitive style, online encyclopedias, credibility assessment, individual differences, online information seeking

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review