The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Temporal Effects of Story and Statistical Evidence on Belief Change
Abstract
An experiment investigated characteristics of evidence that influenced beliefs across multiple time periods. Respondents, after reading one of four written messages that crossed evidence type (story or statistical) with vividness (vivid or nonvivid), completed belief measures at one of three time intervals (immediate, 48-hour delay, or 1-week delay). Statistical evidence was found to be more persuasive than story evidence. Vivid and nonvivid statistical evidence were persuasive relative to the control at 48 hours, and vivid statistical evidence remained persuasive through 1 week. Neither form of story evidence was persuasive relative to the control at delayed time intervals.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
On the psychology of prediction.
Kahneman, D., & Tversky, A. (1973) · Psychological Review · doi:10.1037/h0034747 · Cited by 6,202
Belief in the law of small numbers.
Tversky, A., & Kahneman, D. (1971) · Psychological Bulletin · doi:10.1037/h0031322 · Cited by 3,246
Stalking the elusive “vividness” effect
Taylor, S. E., & Thompson, S. C. (1982) · Psychological Review · doi:10.1037/0033-295x.89.2.155 · Cited by 913
Cited by
Narratives and cancer communication
Green, M. C. (2006) · Journal of Communication · doi:10.1111/j.1460-2466.2006.00288.x · Cited by 682
The Role of Causality in Information Acceptance in Narratives: An Example From Science Communication
Dahlstrom, M. F. (2010) · Communication Research · doi:10.1177/0093650210362683 · Cited by 135
On the interpretation of digital trace data in communication and social computing research
Freelon, D. (2014) · Journal of Broadcasting & Electronic Media · doi:10.1080/08838151.2013.875018 · Cited by 132
Carpenter, J. M., Green, M. C., & Fitzgerald, K. (2018) · Scientific Study of Literature · doi:10.1075/ssol.18011.car · Cited by 33
Metadata
- Authors
- BAESLER, E. J., & BURGOON, J. K.
- Venue
- Communication Research
- Publisher
- SAGE Publications
- Published
- 1994-10
- Volume
- 21
- Issue
- 5
- Pages
- 582-602
- ISSN
- 0093-6502 (ISSN-L)
- 1552-3810
- OpenAlex
- W2088105208
- Cited by
- 267
- References
- 3
- FWCI
- 42.49
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Temporal Effects of Story and Statistical Evidence on Belief Change. https://app.cochat.ai/papers/10.1177/009365094021005002
- The paper
- BAESLER, E. J., & BURGOON, J. K. (1994). The Temporal Effects of Story and Statistical Evidence on Belief Change. Communication Research. https://doi.org/10.1177/009365094021005002
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.