The DOI matches its Crossref record.
Authenticity as authentication
Abstract
This article argues for the prematurity of any dismissal of the notion of authenticity as meaningful within popular music discourse. It synthesises a range of views as to how authenticity is constructed, and offers a tri-partite typology dependent on asking who, rather than what, is being authenticated. It focuses on rock and folk genres, but also argues that the generic nature of the typology makes it applicable to any other genre wherein listeners are concerned to ask whether a musical utterance can be construed as sincere.
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Citations
Cited by
Battisti, D. (2025) · Philosophy & Technology · doi:10.1007/s13347-025-00857-w · Cited by 25
Música y adolescencia: usos, funciones y consideraciones educativas.
Oriola Requena, S., & Gustems Carnicer, J. (2015) · Universitas Tarraconensis. Revista de Ciències de l'Educació · doi:10.17345/ute.2015.2.660 · Cited by 9
Region and identity in Dolly Parton’s songwriting
Watson, J. (2016) · The Cambridge Companion to the Singer-Songwriter · doi:10.1017/cco9781316569207.011 · Cited by 2
Barker, J. (2022) · Persona Studies · doi:10.21153/psj2022vol8no1art1541 · Cited by 1
“These narratives fit into many tropes needed to authenticate Parton within the genre of country music (Hamessley 2020, p. 59; Moore 2002; Peterson 1997; Wilson 1998, p. 109).”
Background
Metadata
- Authors
- Moore, A.
- Venue
- Popular Music
- Publisher
- Cambridge University Press (CUP)
- Published
- 2002-05
- Volume
- 21
- Issue
- 2
- Pages
- 209-223
- ISSN
- 0261-1430 (ISSN-L)
- 1474-0095
- OpenAlex
- W2160380483
- Cited by
- 482
- References
- 0
- FWCI
- 10.76
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Authenticity as authentication. https://app.cochat.ai/papers/10.1017/s0261143002002131
- The paper
- Moore, A. (2002). Authenticity as authentication. Popular Music. https://doi.org/10.1017/s0261143002002131
Data sources
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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.