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.
Via online. 28 pages., Involves Facebook responses of local chapters of the National FFA Organization involving a 2017 wildfire devastation in Texas, Oklahoma, and Kansas. Author's analysis of 23 public posts led to an observation that the FFA chapter posts contained embedded traditional rural literacies and insular narrative. Observed failure to capitalize on Facebook's potential as an advocacy tool to inform and engage large public audiences.
2 pages., Online from publisher., Author identifies five apps/tools that help her be more efficient, organized and productive in her freelance operations.
Via online issue. 2 pages., Introduction and description of Golden ARC Award in social media for the Moo Lab entry submitted by Midwest Dairy and FLM Harvest.
