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Cited by 207

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Attributions of Responsibility for Obesity: Narrative Communication Reduces Reactive Counterarguing Among Liberals

Niederdeppe, Jeff, Shapiro, Michael A., Porticella, Norman·2011·Human Communication Research
DOI 10.1111/j.1468-2958.2011.01409.x
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Abstract

Informed by theory and research on attributions and narrative persuasion, we compared the effectiveness of narrative and nonnarrative messages in changing attributions of responsibility for causes and solutions related to obesity in the United States. We randomly assigned 500 adults to view one of three messages (narrative, evidence, and a hybrid of the two) emphasizing environmental causes of obesity, or a no-exposure control condition. The narrative condition increased the belief that societal actors (government, employers) are responsible for addressing obesity, but only among liberals. This pattern of results was partially explained by the success of the narrative condition in reducing reactive counterarguing, relative to the evidence condition, among liberals. We conclude with theoretical and practical implications.

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Metadata

Authors
Niederdeppe, J., Shapiro, M. A., & Porticella, N.
Venue
Human Communication Research
Publisher
Oxford University Press (OUP)
Published
2011-06-06
Volume
37
Issue
3
Pages
295-323
ISSN
0360-3989 (ISSN-L)
DOI
10.1111/j.1468-2958.2011.01409.x
OpenAlex
W2157284165
Cited by
207
References
10
FWCI
164.97
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Attributions of Responsibility for Obesity: Narrative Communication Reduces Reactive Counterarguing Among Liberals. https://app.cochat.ai/papers/10.1111/j.1468-2958.2011.01409.x
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Niederdeppe, J., Shapiro, M. A., & Porticella, N. (2011). Attributions of Responsibility for Obesity: Narrative Communication Reduces Reactive Counterarguing Among Liberals. Human Communication Research. https://doi.org/10.1111/j.1468-2958.2011.01409.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.