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Cited by 356

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Vigilante Marketing and Consumer-Created Communications

Muñiz, Jr., Albert M., Schau, Hope Jensen·2007·Journal of Advertising

Abstract

Consumers, acting independently of marketers and advertisers, have started creating and disseminating documents that strongly resemble, in form and intent, ads for the brands that they love. Employing a netnographic method, this paper investigates consumer-generated, commercially relevant artifacts by examining the brand community centered on the Apple Newton, a brand that was (along with its supporting advertising) discontinued in 1998. The members of the Newton community create commercially relevant content to fill the void created by the lack of advertising for the brand. These artifacts reflect tensions with the marketer, the market, and the community itself, and imbue the brand with powerful meaning. These data reveal that consumers can be quite skilled in the creation of brand-relevant communications, applying the styles, logics, and grammar of advertising. The ascendancy of consumer-generated content prefigures revolutionary changes in how advertising is defined and practiced.

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Crossref · 10.2753/joa0091-3367360303

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Metadata

Authors
Muñiz, Jr., & Schau, H. J.
Venue
Journal of Advertising
Published
2007-10
Volume
36
Issue
3
Pages
35-50
ISSN
  • 0091-3367 (ISSN-L)
  • 1557-7805
OpenAlex
W2033161512
Cited by
356
References
1
FWCI
35.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Vigilante Marketing and Consumer-Created Communications. https://app.cochat.ai/papers/10.2753/joa0091-3367360303
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Muñiz, Jr., & Schau, H. J. (2007). Vigilante Marketing and Consumer-Created Communications. Journal of Advertising. https://doi.org/10.2753/joa0091-3367360303

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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.