Church, Sarah P. (author), Haigh, Tonya (author), Widhalm, Melissa (author), Garcia de Jalon, Silvestre (author), Babin, Nicholas (author), Carlton, J. Stuart (author), Dunn, Michael (author), Fagan, Katie (author), Knutson, Cody L. (author), and Prokopy, Linda S. (author)
Format:
Journal article
Publication Date:
unknown
Published:
Netherlands: Elsevier Science BV
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 7 Document Number: D10262
16 pages., Via online journal., The Midwestern United States experienced a devastating drought in 2012, leading to reduced corn and soybean yields and increased instances of pests and disease. Climate change induced weather variability and extremes are expected to increase in the future, and have and will continue to impact the agricultural sector. This study investigated how agricultural trade publications portrayed the 2012 U.S. Midwestern drought, whether climate change was associated with drought, and whether these publications laid out transformative adaptation measures farmers could undertake in order to increase their adaptive capacity for future climate uncertainty. We performed a content analysis of 1000 media reports between April 1, 2012 and March 31, 2014, sampled from ten agricultural trade publications. The results lead us to suggest that trade publications’ 2012 U.S. Midwestern drought discussion lacked information that would allow farmers and agricultural advisors to assess climate change risk and subsequent potential adaptive management strategies. Agricultural risk from climate change is very real, and farmers will need to adapt. The agricultural trade publications studied missed an opportunity to convey risk from climate change and the transformative adaptation practices necessary for a sustainable and resilient agricultural system.
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.
