Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 275

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Environmental Concern, Patterns of Television Viewing, and Pro-Environmental Behaviors: Integrating Models of Media Consumption and Effects

Holbert, R. Lance, Kwak, Nojin, Shah, Dhavan V.·2003·Journal of Broadcasting & Electronic Media

Abstract

This study merges insights from cultivation and uses and gratifications to examine the relationship between environmental concern, five forms of television viewing, and pro-environmental behaviors. This research considers both the direct effects of various forms of television viewing and their potential mediating roles in the relationship between environmental attitudes and behaviors. Analysis of 7999 and 2000 DDB Life Style Study data reveals that television news and nature documentary use are predicted by environmental concern and contribute to pro-environmental behaviors, whereas three forms o f entertainment television use are not consistently linked to these variables. Implications for future research are discussed.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1207/s15506878jobem4702_2

Cites

30 of 30 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 30 references

Cited by

See all 275

Metadata

Authors
Holbert, R. L., Kwak, N., & Shah, D. V.
Venue
Journal of Broadcasting & Electronic Media
Published
2003-06-01
Volume
47
Issue
2
Pages
177-196
ISSN
  • 0883-8151 (ISSN-L)
  • 1550-6878
OpenAlex
W1974294669
Cited by
275
References
30
FWCI
22.63
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Environmental Concern, Patterns of Television Viewing, and Pro-Environmental Behaviors: Integrating Models of Media Consumption and Effects. https://app.cochat.ai/papers/10.1207/s15506878jobem4702_2
The paper
Holbert, R. L., Kwak, N., & Shah, D. V. (2003). Environmental Concern, Patterns of Television Viewing, and Pro-Environmental Behaviors: Integrating Models of Media Consumption and Effects. Journal of Broadcasting & Electronic Media. https://doi.org/10.1207/s15506878jobem4702_2

Data sources

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.