20 pages., Online via UI e-subscription, This article centered on the representation of food additives as a matter of key importance to the public's conceptualization of them. Findings from a systematic qualitative study of the magazines of two Belgian consumer organizations revealed that additives were seen as providing no benefits to consumers, for they could be used to reduce the quality of both the ingredients and the production process. They were perceived as a means of deceiving the public, with portrayal of consumers as powerless in the struggle for control over the types and amounts of additives they ingested. In turn, the limitations were seen as a failure of government and scientific institutions to provide the necessary protection.
Online from publications. 3 pages., Report of thoughts about dealing with foodservice staffing and labor challenges from the chief operating officer of DNO Produce, Columbus, Ohio.
Available online at www.centmapress.org, Results indicated that both corporate firms involved in a food fraud case lacked an immediate mandate to address the legitimate stakeholders' claim. "This study adds the action perspective to stakeholder salience theory, providing practical guidelines for marketers in the food sector who face wicked contexts, attempting to achieve transparency and common goals along with their stakeholders."
Online via UI electronic subscription, Researchers used weekly meat production and sales data to assess how media depictions of LFTB affected consumer demand during and after the scare in 2012.
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.