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Understanding AI Advertising From the Consumer Perspective: What Factors Determine Consumer Appreciation of AI-Created Advertisements?
Abstract
In recent years, artificial intelligence (AI) technology has been used to create advertising messages. This study examined the factors that influence consumers’ overall appreciation of AI-created advertisements. The findings indicate that, in addition to its direct effect on consumer reactions to AI-created advertisements, consumers’ perceived objectivity of the general advertisement creation process positively influences machine heuristic—a rule of thumb that machines are more secure and trustworthy than humans. This effect boosted consumer appreciation of AI-created advertisements. Consumers’ perceived objectivity of advertisement creation negatively influenced perceived eeriness of AI advertising, which jeopardized consumer appreciation of AI-created advertisements. Consumers’ feelings of uneasiness with robots were found to have a positive influence on both machine heuristic and perceived eeriness of AI advertising.
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“In alignment with Wu and Wen (2021), the perceived novelty and creativity offered by AI-generated advertisements did not entirely offset concerns about reliability and authenticity, especially in high-involvement contexts.”
From AI-generated versus human-created advertising: Effects on consumer trust and purchase intent (2025) · cites this paper as Wu and Wen, 2021
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Metadata
- Authors
- Wu, L., & Jing Wen, T.
- Affiliations
- University of South Carolina (US)
- University of South Carolina
- ORCID
- Wu, Linwan
- Venue
- Journal of Advertising Research
- Publisher
- Informa UK Limited
- Published
- 2021-03-23
- Volume
- 61
- Issue
- 2
- Pages
- 133-146
- ISSN
- 0021-8499 (ISSN-L)
- 1740-1909
- OpenAlex
- W3138769209
- Semantic Scholar
- 9e11fdcc48b54eb29e60849ccb7529178250b8c9
- Cited by
- 127
- References
- 52
- Citations by year
- 2026: 55 · 2025: 47 · 2024: 13 · 2023: 7 · 2022: 4 · 2021: 1
- FWCI
- 2.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Advertising Research (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior in Brand Consumption and Identification
- Keywords
- AI-generated advertising, consumer perception, machine heuristic, perceived objectivity, trust in machines
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 ›
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