Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 197 Document Number: D09484
Notes:
Truffle Media Networks LLC, Indianapolis, Indiana. 29 pages., Survey among participants in the agriculture industry in media, ag product companies, agencies, associations, or other.
Wandersee, Cassie (author) and Baker, Lauri (author)
Format:
Paper abstract
Publication Date:
2018-02
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 199 Document Number: D10018
Notes:
Abstract of paper presented at the National Agricultural Communications Symposium, Southern Association of Agricultural Scientists (SAAS) Agricultural Communications Section, Jacksonville, Florida, February 4-5, 2018.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 191 Document Number: D02911
Notes:
Truffle Media Networks, Indianapolis, Indiana. 24 pages., Survey responses from persons associated with ag media, ag product companies, advertising agencies, agricultural associations.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 191 Document Number: D02912
Notes:
Truffle Media Networks, Indianapolis, Indiana. 24 pages., Survey responses from persons associated with ag media, ag product companies, advertising agencies, agricultural associations.
The article reports findings of a media-use survey conducted among agricultural communicators attending a meeting of the National Association of Farm Broadcasting. A majority of respondents reported using a variety of social media for work, with smartphones being the most common device used. Among other recommendations, authors suggested that respondents should continue to use Facebook and Twitter to engage their stakeholder groups in conversations about agriculture. The survey identified stakeholder groups of the communicator respondents.
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.
