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Cited by 888

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

A Social Cognitive Theory of Internet Uses and Gratifications: Toward a New Model of Media Attendance

LaRose, Robert, Eastin, Matthew S.·2004·Journal of Broadcasting & Electronic Media

Abstract

Recent research explaining Internet usage has both extended and challenged the uses and gratifications approach to understanding media attendance by discovering "new" gratifications and introducing powerful new explanatory variables. The present research integrates these developments into a theory of media attendance within the framework of Bandura's (1 986) Social Cognitive Theory. Respondents from 2 Midwestern states were recruited by mail to complete an online questionnaire. Structural equation modeling techniques were used to test a.new model of media attendance in which active consideration of Internet uses and gratifications, moderated by Internet self-efficacy, joins habitual behavior and deficient self-regulation as determinants of media behavior. The model explained 42% of the variance in Internet usage. ,

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Metadata

Authors
LaRose, R., & Eastin, M. S.
Venue
Journal of Broadcasting & Electronic Media
Published
2004-10
Volume
48
Issue
3
Pages
358-377
ISSN
  • 0883-8151 (ISSN-L)
  • 1550-6878
OpenAlex
W2000161159
Cited by
888
References
12
FWCI
8.64
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Social Cognitive Theory of Internet Uses and Gratifications: Toward a New Model of Media Attendance. https://app.cochat.ai/papers/10.1207/s15506878jobem4803_2
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LaRose, R., & Eastin, M. S. (2004). A Social Cognitive Theory of Internet Uses and Gratifications: Toward a New Model of Media Attendance. Journal of Broadcasting & Electronic Media. https://doi.org/10.1207/s15506878jobem4803_2

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.