22 pages., via online journal., In 2015, Blue Bell Creameries had its first recall in the company’s history. Blue Bell issued a voluntary recall of all of its ice cream products after Listeria was detected and was linked to 10 illnesses that resulted in three deaths. With the theoretical framework of framing and Situational Crisis Communication Theory, the purpose of this study was to explore how this recall was presented in company press releases and news media coverage to determine what crisis communication strategies Blue Bell implemented and how the media presented that information. This study was a content analysis of 23 press releases from Blue Bell and 68 articles from newspapers. The four crisis response strategies, or postures, used as frames were deny, diminish, rebuild, and bolster. This study also examined sources identified in the articles and the topic areas they discussed. The results indicated Blue Bell’s communication efforts were properly and effectively disseminated through the news media to the public. Blue Bell used accommodative crisis communication postures to restore its reputation. Blue Bell was also commonly found as a source in the news stories, which benefitted the company when communicating about the recall to the public. This study provided an examination of crisis communication strategies and reputation management for organizations related to one specific food recall, which should encourage additional studies of these strategies in food and agricultural industries.
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.