The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Classical and Vignette Television Advertising Dramas: Structural Models, Formal Analysis, and Consumer Effects
Abstract
This article identifies and analyzes two types of television advertising dramas: classical and vignette. Drama criticism in theater, film, and television is the source used to identify the elements of advertising dramas—narration, plot, story, and character—and to propose models of the two different types. The two models are employed in an empirical analysis of an advertising sample. Consumer effects of classical and vignette dramas are proposed in terms of the attribution theory of persuasion and the elicitation of empathy versus sympathy responses.
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
The processes of causal attribution.
Kelley, H. H. (1973) · American Psychologist · doi:10.1037/h0034225 · Cited by 4,025
Cited by
How advertising works: what do we really know?
Vakratsas, D., & Ambler, T. (1999) · Journal of Marketing · doi:10.1177/002224299906300103 · Cited by 1,436
Goulding, C. (2005) · European Journal of Marketing · doi:10.1108/03090560510581782 · Cited by 944
When consumers and brands talk: Storytelling theory and research in psychology and marketing
Woodside, A. G., Sood, S., & Miller, K. E. (2008) · Psychology & Marketing · doi:10.1002/mar.20203 · Cited by 641
Keen, S. (2006) · Narrative · doi:10.1353/nar.2006.0015 · Cited by 605
Narrative and Persuasion in Fashion Advertising
Phillips, B. J., & McQuarrie, E. F. (2010) · Journal of Consumer Research · doi:10.1086/653087 · Cited by 350
Metadata
- Authors
- Stern, B. B.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1994-03
- Volume
- 20
- Issue
- 4
- Pages
- 601
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2171401743
- Cited by
- 190
- References
- 1
- FWCI
- 33.99
- 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: Classical and Vignette Television Advertising Dramas: Structural Models, Formal Analysis, and Consumer Effects. https://app.cochat.ai/papers/10.1086/209373
- The paper
- Stern, B. B. (1994). Classical and Vignette Television Advertising Dramas: Structural Models, Formal Analysis, and Consumer Effects. Journal of Consumer Research. https://doi.org/10.1086/209373
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.
