18 pages, via online journal, Consumers are concerned about the quality and safety of their food at all times during the food supply chain, but sensationalized media coverage, lack of knowledge, and recent recalls have made it difficult for consumers to trust the agricultural industry. Because trust drives risk perceptions and acceptance, it is important for agricultural communicators to understand how personal characteristics influence trust in the food supply chain. To fulfill the purpose of this study, a national quota sample of 847 responses to an online questionnaire were collected in March 2019. The results indicated respondents held a moderate level of trust toward production agriculture, food processing, food retail, and food safety regulation, with the greatest level of trust assigned to production agriculture. Trust in these sectors of the food supply chain were also positively correlated to one another. Regression models for trust in each agricultural sector were significant but only accounted for 9% of the variance in the dependent variable at most. Direct engagement in agriculture was a positive predictor in trust across all four areas, and use of social media was a negative predictor for trust. Income and gender were also found to be predictors of trust in production agriculture, food processing, food retail, and food safety regulation. The findings from this study can be used to guide future communication to increase the level of trust in the food supply chain, which would also increase consumers’ purchasing intent.
28 pages., This study investigates how the emotional tone of food safety risk communication messages predicts message virality on social media. Through a professional Internet content tracking service, we gathered news articles written about the 2018 romaine lettuce recall published online between October 30th and November 29th, 2018. We retrieved the number of times each article was shared on Twitter and Pinterest, and the number of engagements (shares, likes, and comments) for each article on Facebook and Reddit. We randomly selected 10% of the articles (n = 377) and characterized the emotional tone of each article using machine learning, including emotional characteristics such as discrete emotions, emotional valence, arousal, and dominance. Conveying negative valence, low arousal, and high dominance, as well as anger and sadness emotions were associated with greater virality of articles on social media. Implications of these findings for risk communication in the age of social media are discussed.
28 pages, This study investigates how the emotional tone of food safety risk communication messages predicts message virality on social media. Through a professional Internet content tracking service, we gathered news articles written about the 2018 romaine lettuce recall published online between October 30th and November 29th, 2018. We retrieved the number of times each article was shared on Twitter and Pinterest, and the number of engagements (shares, likes, and comments) for each article on Facebook and Reddit. We randomly selected 10% of the articles (n = 377) and characterized the emotional tone of each article using machine learning, including emotional characteristics such as discrete emotions, emotional valence, arousal, and dominance. Conveying negative valence, low arousal, and high dominance, as well as anger and sadness emotions were associated with greater virality of articles on social media. Implications of these findings for risk communication in the age of social media are discussed.
James F. Evans Collection, Research directors at American land-grant universities are optimistic regarding the future of agricultural biotechnology and expect the ongoing "biotechnology revolution" to benefit the public, including consumers and farmers. Unresolved public policy questions involving biotechnology do concern many of the research administrators who responded to an opinion poll, but the prevailing attitude appears to be on of confident expectation that solutions will in time emerge for all outstanding biotech problems. Asked about "biotechnology's ethical questions," a majority of the respondents that U.S. land-grant institutions are well equipped to deal with such questions. The respondents said biotechnology may pose environmental risks, but they did not expect biological catastrophes to occur. They said biotechnology could be used to foster low-input methods of agricultural production, and they were in favor of pursuing biotech research that might improve agriculture's sustainability. (original)
Brown, J. Lynne (author), Epp, Donald J. (author), Fisher, Ann (author), King, Robert (author), Maretzki, Audrey N. (author), and Department of Agricultural Economics, Penn State University
Format:
Journal article
Publication Date:
1994
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 97 Document Number: C08020
James F. Evans Collection, This article describes the development and preliminary evaluation of model materials designed as one step in helping consumers understand how scientists assess food risks, how that information is used in food safety policy decisions, and what individuals can do to protect themselves from residual risks. Focus groups provided feedback on draft materials, and experts reviewed the simplified descriptions of specific food risks to assure consistency with current scientific knowledge. We used pilot tests to examine (1) whether initial factual questions would prompt more learning, and (2) the relative effectiveness of two formats: a paper version similar to typical government pamphlets and an interactive computer version. People learned about food safety from either version. There was little evidence that the "prompting" questions led to more learning, nor did subjects learn more from the computer version. Results suggest that the materials made respondents more comfortable about their own ability to choose and prepare safe food and increased their confidence in actions taken by government and industry. (original)