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Cited by 285

The DOI matches its Crossref record; 115 of the 115 references it cites were found in a registry or an index.

Introducing the PCMC Model: An Investigative Framework for Young People's Processing of Commercialized Media Content

Buijzen, Moniek, Van Reijmersdal, Eva A., Owen, Laura H.·2010·Communication Theory

Abstract

There is a vital need for an updated evaluation of children's and adolescents' changing commercial media environment. In this article, we introduce an investigative framework for young people's processing of commercial media content (PCMC) that can deal with current and future developments in the media landscape. To develop this framework, we (a) introduce an integrated model of young people's persuasion processing, adopting a developmental perspective on adult persuasion models; (b) theorize how communication can predict persuasion processing, based on a limited capacity information processing approach; (c) identify specific message characteristics that affect persuasion processing (e.g., prominence, interactivity, integration). Thus, the PCMC model provides a theoretical framework as well as specific guidelines for future research investigating young people's commercialized media environment.

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Metadata

Authors
Buijzen, M., Van Reijmersdal, E. A., & Owen, L. H.
Venue
Communication Theory
Published
2010-10-01
Volume
20
Issue
4
Pages
427-450
ISSN
1050-3293 (ISSN-L)
OpenAlex
W2148443380
Cited by
285
References
115
FWCI
203.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Introducing the PCMC Model: An Investigative Framework for Young People's Processing of Commercialized Media Content. https://app.cochat.ai/papers/10.1111/j.1468-2885.2010.01370.x
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Buijzen, M., Van Reijmersdal, E. A., & Owen, L. H. (2010). Introducing the PCMC Model: An Investigative Framework for Young People's Processing of Commercialized Media Content. Communication Theory. https://doi.org/10.1111/j.1468-2885.2010.01370.x

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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.