The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Paradox and the Consumption of Authenticity through Reality Television
Abstract
We position reality television within the broader category of consumer practices of authenticity seeking in a postmodern cultural context. The study draws on relevant perspectives from consumer research, literary criticism, sociology, and anthropology to argue that viewers of reality television encounter three elements of paradox in the process of constructing authenticity. The negotiation of each paradox exceeds the process of coping with or resolving their inherent contradictions to encompass the creation of new values. We argue that consumers blend fantastic elements of programming with indexical elements connected to their lived experiences to create a form of self-referential hyperauthenticity.
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Morhart, F., Malär, L., Guèvremont, A., Girardin, F., & Grohmann, B. (2015) · Journal of Consumer Psychology · doi:10.1016/j.jcps.2014.11.006 · Cited by 1,084
Beverland, M. B., & Farrelly, F. J. (2010) · Journal of Consumer Research · doi:10.1086/615047 · Cited by 990
The Megaphone Effect: Taste and Audience in Fashion Blogging
McQuarrie, E. F., Miller, J., & Phillips, B. J. (2013) · Journal of Consumer Research · doi:10.1086/669042 · Cited by 537
Projecting Authenticity Through Advertising: Consumer Judgments of Advertisers' Claims
Beverland, M. B., Lindgreen, A., & Vink, M. W. (2008) · Journal of Advertising · doi:10.2753/joa0091-3367370101 · Cited by 507
Experience Marketing: Concepts, Frameworks and Consumer Insights
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Metadata
- Authors
- Rose, R. L., & Wood, S. L.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2005-09
- Volume
- 32
- Issue
- 2
- Pages
- 284-296
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2259078277
- Cited by
- 477
- References
- 30
- FWCI
- 20.35
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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