A content analysis of EPPM’s threat and efficacy information in environmental news: The impact of a community of practice and topic

A content analysis of EPPM’s threat and efficacy information in environmental news: The impact of a community of practice and topic. Heo, R. J., Miller, S., Takahashi, B., & Corttrell, J. Newspaper Research Journal, May, 2024.

Paper doi abstract bibtex

The extended parallel process model summarizes the positive impact of threat and efficacy messages on behavioral intentions. In news contexts, research to date shows national journalists emphasize threat information and neglect efficacious information. Findings show U.S. university student journalists emphasized efficacy rather than threats countering past content analysis research. We also found environmental and sustainability communities of practice did not predict threat and efficacy information, but topics did.

@article{heo_content_2024,
	title = {A content analysis of {EPPM}’s threat and efficacy information in environmental news: {The} impact of a community of practice and topic},
	issn = {0739-5329, 2376-4791},
	shorttitle = {A content analysis of {EPPM}’s threat and efficacy information in environmental news},
	url = {https://journals.sagepub.com/doi/10.1177/07395329241248756},
	doi = {10.1177/07395329241248756},
	abstract = {The extended parallel process model summarizes the positive impact of threat and efficacy messages on behavioral intentions. In news contexts, research to date shows national journalists emphasize threat information and neglect efficacious information. Findings show U.S. university student journalists emphasized efficacy rather than threats countering past content analysis research. We also found environmental and sustainability communities of practice did not predict threat and efficacy information, but topics did.},
	language = {en},
	urldate = {2024-07-22},
	journal = {Newspaper Research Journal},
	author = {Heo, Ruth J. and Miller, Serena and Takahashi, Bruno and Corttrell, Jonus},
	month = may,
	year = {2024},
	pages = {07395329241248756},
}

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