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Journal of Health Communication
International Perspectives
Volume 24, 2019 - Issue 10
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Original Article

An Efficient Message Evaluation Protocol: Two Empirical Analyses on Positional Effects and Optimal Sample Size

Minji KimCenter for Tobacco Control Research and Education, University of California, San Francisco, San Francisco, California, USACorrespondence[email protected]
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Joseph N. CappellaAnnenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania, USAView further author information
Pages 761-769 | Published online: 21 Sep 2019

Citations (7)

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Read on this site (2)

Stella Juhyun Lee, Jiaying Liu, Laura A. Gibson & Robert C. Hornik. (2021) Rating the Valence of Media Content about Electronic Cigarettes Using Crowdsourcing: Testing Rater Instructions and Estimating the Optimal Number of Raters. Health Communication 36:4, pages 497-507.
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Ying Cheng & Yongseok Jang. Crowdfunding technology projects: investigating the moderating effect of product type on campaign success. Technology Analysis & Strategic Management 0:0, pages 1-15.
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Articles from other publishers (5)

Seth M Noar, Nisha Gottfredson, Rhyan N Vereen, Rachel Kurtzman, Jennifer Mendel Sheldon, Elizabeth Adams, Marissa G Hall & Noel T Brewer. (2023) Development of the UNC Perceived Message Effectiveness Scale for Youth. Tobacco Control 32:5, pages 553-558.
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Sue Lim & Ralf Schmälzle. (2023) Artificial intelligence for health message generation: an empirical study using a large language model (LLM) and prompt engineering. Frontiers in Communication 8.
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Minji Kim, Torsten B Neilands, Steven E Gregorich, Jeffrey W Jordan & Pamela M Ling. (2023) Young Adult Responses to Peer Crowd-Based Targeting in E-cigarette Advertisements: An Experimental Study. Nicotine and Tobacco Research 25:6, pages 1125-1134.
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Anna Gaysynsky, Kathryn Heley & Wen-Ying Sylvia Chou. (2022) An Overview of Innovative Approaches to Support Timely and Agile Health Communication Research and Practice. International Journal of Environmental Research and Public Health 19:22, pages 15073.
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Ralf Schmälzle & Shelby Wilcox. (2022) Harnessing Artificial Intelligence for Health Message Generation: The Folic Acid Message Engine. Journal of Medical Internet Research 24:1, pages e28858.
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