18 pages, via online journal article, Blue Bell Creameries faced an unprecedented situation when it pulled all of its products during a Listeria outbreak in 2015. Despite a very public crisis that resulted in three deaths, Blue Bell survived the disaster and maintained a large and loyal customer base. A content analysis of the Blue Bell Ice Cream Facebook page was conducted to evaluate Blue Bell’s public communications, and its followers’ public reactions to the Facebook communication during the crisis. Results indicated that Blue Bell primarily posted messages that included recall and restocking information, thankfulness to stakeholders, and details about improvements to food safety during the crisis. These messages created a sense of transparency, which can increase customers’ trust and brand loyalty. Their consumers largely responded with comments containing overwhelming loyalty themes as well as questions and messages of thanks. Recommendations for agri-food companies include operating transparently before, during, and after a crisis. Organizations should follow Blue Bell’s example and avoid publishing messages that include attacks, denial, scapegoating, or excuses during a crisis.
Online via publication website., The purpose of this study was to determine how education and communication professionals involved in climate-change communication are framing their discussions about climate change with agricultural producers. Researchers used semi-structured telephone interviews to gather information. Findings touched on communications factors such as audience analysis, appropriate terminology, localization of information, framing messages, and information sources.
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.
Ruth, Taylor K. (author), Suits, Teresa (author), McLeod-Morin, Ashley (author), Telg, Ricky W. (author), and Association for Communication Excellence (ACE)
University of Nebraska-Lincoln
University of Florida
Format:
Online journal article
Publication Date:
2020-02
Published:
United States: New Prairie Press
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 131 Document Number: D11304
18 pages., via online journal, Hurricane Michael hit the Florida panhandle as a category five hurricane on October 10, 2018. One of the risks after a hurricane is the spread of mosquito-borne disease due to standing floodwaters, which provide perfect breeding grounds for mosquitoes. People often turn to social media during times of crisis to receive up-to-date information. Therefore, there is a need to understand how to use social media to communicate about risks after a natural disaster. The purpose of this study was to explore how Twitter was used to communicate about mosquito control before and after Hurricane Michael and was guided by the Centers for Disease Control’s crisis communication recommendations. Data were collected using Sysomos Media Analytics Platform (MAP). The search included tweets about mosquito control two weeks before and two weeks after Hurricane Michael made landfall and was limited to Florida residents. There were 198 tweets about mosquito control in this timeframe, and a sharp increase in tweets in the weeks following the hurricane. Users tweeting the most about mosquito control were public agencies like mosquito control districts, and common hashtags included #mosquito and #mosquitocontrol; #HurricaneMichael was rarely used. The largest number of tweets were identified with the frame Be First to warn people about mosquito spraying in their local areas. A minority of tweets promoted self-efficacy or promoted action related to mosquito control. None of the analyzed tweets expressed empathy. Extension can use the findings from this study to guide future risk communication on social media following a natural disaster.
