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Cited by 787

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Exploring Consumer Motivations for Creating User-Generated Content

Daugherty, Terry, Eastin, Matthew S., Bright, Laura·2008·Journal of Interactive Advertising

Abstract

The advent of Web 2.0 technologies has enabled the efficient creation and distribution of user-generated content (UGC), resulting in vast changes in the online media landscape. For instance, the proliferation of UGC has made a strong impact on consumers, media suppliers, and marketing professionals while necessitating research in order to understand both the short and long-term implications of this media content. This exploratory study (n = 325) seeks to investigate consumer consumption and creation of UGC and the attitudinal factors that contribute to these actions. The data confirm the established relationship between attitude and behavior and indicate attitude serves as a mediating factor between the use and creation of UGC. With regard to the creation of UGC, the ego-defensive and social functions of attitude were found to have the most explanatory power.

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Crossref · 10.1080/15252019.2008.10722139

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Metadata

Authors
Daugherty, T., Eastin, M. S., & Bright, L.
Venue
Journal of Interactive Advertising
Published
2008-03
Volume
8
Issue
2
Pages
16-25
ISSN
1525-2019 (ISSN-L)
OpenAlex
W2047333734
Cited by
787
References
3
FWCI
49.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Exploring Consumer Motivations for Creating User-Generated Content. https://app.cochat.ai/papers/10.1080/15252019.2008.10722139
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Daugherty, T., Eastin, M. S., & Bright, L. (2008). Exploring Consumer Motivations for Creating User-Generated Content. Journal of Interactive Advertising. https://doi.org/10.1080/15252019.2008.10722139

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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.