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.
National Pork Board (author) and Lessing-Flynn (author)
Format:
Online document
Publication Date:
2015
Published:
United States: Public Relations Society of America
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 8 Document Number: D10300
Notes:
3 pages., Via Silver Anvil Awards., Consumers have questions about how pigs are raised, and no one knows the answers better than pork producers themselves. Activist groups against pig farming have become increasingly active on social media, where the voices of pork producers were relatively silent. As the connection between pork producers and the food industry, the National Pork Board recognized the potential damage this could cause to the pork industry’s reputation. The #RealPigFarming campaign was born out of a need to engage producers in sharing stories from their farms, and contributing to online conversation about pork production. The results surpassed original goals by 2,730 percent.
18 pages, Universities must strategically communicate agricultural science to effectively reach millennials skeptical of agricultural innovations and constantly assessing the credibility of online information. Universities are trusted information sources and must maintain credibility on social media platforms such as Twitter, used by millennials to receive and share information. Source credibility seeks to understand message source and recipient characteristics that influence recipients’ perceptions of a source’s expertise and trustworthiness. The purpose of this study was to explore differences in engagement when specific factors affecting source credibility were emphasized when communicating with millennials about agricultural science on Twitter. The purpose was accomplished by describing the level of engagement and the differences in engagement observed between perceived gender, race, and age of university scientists. Over seven months, researchers wrote press releases about published journal articles authored by two or more diverse, university-affiliated scientists. They published multiple tweets about each release, with the only difference being the scientists’ headshots. Scientists were categorized as perceived male versus female, White versus Non-White, and older versus younger. Descriptive analysis of engagement metrics from 32 tweets found those with females performed better than those with males. Non-White scientist tweets performed better with the exception of engagement rate. Tweets featuring younger scientists received more engagement than older. The exploratory results implied tweets featuring young, Non-White females may elicit higher engagement. Future studies should examine if engagement metrics are correlated with source credibility dimensions. Strategically featuring diverse scientists in research communication may be utilized to build engagement in universities’ social media.
Benavidez, Justin R. (author), Ribera, Luis A. (author), and Thayer, Anastasia (author)
Format:
Paper
Publication Date:
2020
Published:
International
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 201 Document Number: D11717
Notes:
Paper presented at the 2020 Agricultural and Applied Economics Association Annual Meeting, Kansas City, Missouri, July 26-28, 2020. 20 pages., Authors assessed the impact of tweets by U.S. President Donald Trump on agricultural commodity prices during the trade war with China. Results indicated tht days with high counts of tweets with keywords associated with the 2018-2019 trade war led to statistically significant structural breaks in the price series for hogs, corn, cotton, and soybeans.
