4.5 Article

Language in popular American culture constructs the meaning of healthy and unhealthy eating: Narratives of craveability, excitement, and social connection in movies, television, social media, recipes, and food reviews

期刊

APPETITE
卷 172, 期 -, 页码 -

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.appet.2022.105949

关键词

Language; Food; Health; Culture; Social media

资金

  1. Robert Wood Johnson Foundation

向作者/读者索取更多资源

Many people struggle to eat healthier because of the perception that healthy foods are less appealing than unhealthy foods. This perception is reflected in popular entertainment media and social media, where healthy foods are often described with fewer appealing descriptions and more unappealing descriptions compared to unhealthy foods.
Many people want to eat healthier but struggle to do so, in part due to a dominant perception that healthy foods are at odds with hedonic goals. Is the perception that healthy foods are less appealing than unhealthy foods represented in language across popular entertainment media and social media? Six studies analyzed dialogue about food in six cultural products - creations of a culture that reflect its perspectives - including movies, television, social media posts, food recipes, and food reviews. In Study 1 (N = 617 movies) and Study 2 (N = 27 television shows), healthy foods were described with fewer appealing descriptions (e.g., couldn't stop eating; d = 0.59 and d = 0.37, respectively) and more unappealing descriptions (e.g., I hate peas; d = -.57 and d = -.63, respectively) than unhealthy foods in characters' speech from the film and television industries. Using sources with richer descriptive language, Studies 3-6 analyzed popular American restaurants' Facebook posts (Study 3, N = 2275), recipe descriptions from Allrecipes.com (Study 4, N = 1000), Yelp reviews from six U.S. cities (Study 5, N = 4403), and Twitter tweets (Study 6, N = 10,000) for seven specific themes. Meta-analytic results across Studies 3-6 showed that healthy foods were specifically described as less craveworthy (d = 0.51, 95% CI: 0.44-0.59), less exciting (d = 0.40, 95% CI: 0.31-0.49), and less social (d = 0.36, 95% CI: 0.04-0.68) than unhealthy foods. Machine learning methods further generalized patterns across 1.6 million tweets spanning 42 different foods representing a range of nutritional quality. These data suggest that strategies to encourage healthy choices must counteract pervasive narratives that dissociate healthy foods from craveability, excitement, and social connection in individuals' everyday lives.

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