The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Causes of Irritation in Advertising
Abstract
Sixteen copy characteristics or advertising approaches that appear to either increase or decrease irritation emerge from a study of 524 television commercials. The results also show how irritation levels vary by product class and by socioeconomic level.
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
Feeling and thinking: Preferences need no inferences.
Zajonc, R. B. (1980) · American Psychologist · doi:10.1037/0003-066x.35.2.151 · Cited by 8,094
Bower, G. H. (1981) · American Psychologist · doi:10.1037/0003-066x.36.2.129 · Cited by 4,154
Cited by
Edwards, S. M., Li, H., & Lee, J.-H. (2002) · Journal of Advertising · doi:10.1080/00913367.2002.10673678 · Cited by 1,053
How consumers assess the value of advertising
Ducoffe, R. H. (1995) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.1995.10505022 · Cited by 774
Information Processing from Advertisements: Toward an Integrative Framework
MacInnis, D. J., & Jaworski, B. J. (1989) · Journal of Marketing · doi:10.1177/002224298905300401 · Cited by 653
Why smartphone advertising attracts customers: A model of Web advertising, flow, and personalization
Kim, Y. J., & Han, J. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.01.015 · Cited by 454
Perceived irritation in online shopping: the impact of website design characteristics.
Hasan, B. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.07.056 · Cited by 203
Metadata
- Authors
- Aaker, D. A., & Bruzzone, D. E.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 1985-03
- Volume
- 49
- Issue
- 2
- Pages
- 47-57
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W1999844349
- Cited by
- 400
- References
- 2
- FWCI
- 3.11
- 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: Causes of Irritation in Advertising. https://app.cochat.ai/papers/10.1177/002224298504900204
- The paper
- Aaker, D. A., & Bruzzone, D. E. (1985). Causes of Irritation in Advertising. Journal of Marketing. https://doi.org/10.1177/002224298504900204
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.
