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Cited by 211

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Normative Images of Communication Media Mass and Interpersonal Channels in the New Media Environment.

PERSE, ELIZABETH M., COURTRIGHT, JOHN A.·1993·Human Communication Research

Abstract

This study is an extension of earlier uses and gratifications research that identified normative images of mass media. The article considers how well 12 different mass and interpersonal communication channels fill 11 communication needs. A sample of 649 adults completed self-administered questionnaires, the responses of which were submitted to cluster analysis, which identified five channel clusters: Video, Interpersonal, Print, Computer, and Audio. In general, the Interpersonal cluster (conversation and telephone) was rated the most useful at filling various needs, with Computer rated the least useful. Consistent with previous research, clusters that were most useful at filling personal needs were rated highest in social presence. The discussion relates this study's findings to previous research and notes implications for research on the newer communication technologies.

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Crossref · 10.1111/j.1468-2958.1993.tb00310.x

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Metadata

Authors
PERSE, E. M., & COURTRIGHT, J. A.
Venue
Human Communication Research
Published
1993-06
Volume
19
Issue
4
Pages
485-503
ISSN
  • 0360-3989 (ISSN-L)
  • 1468-2958
OpenAlex
W1547809084
Cited by
211
References
4
FWCI
3.19
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Normative Images of Communication Media Mass and Interpersonal Channels in the New Media Environment. https://app.cochat.ai/papers/10.1111/j.1468-2958.1993.tb00310.x
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PERSE, E. M., & COURTRIGHT, J. A. (1993). Normative Images of Communication Media Mass and Interpersonal Channels in the New Media Environment. Human Communication Research. https://doi.org/10.1111/j.1468-2958.1993.tb00310.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.