27 pages., Research in agricultural communications is not guided by a national research agenda. Therefore, the substantial body of research produced from scholars working in the discipline represents scattered efforts. We conducted a content analysis of journal articles published in the Journal of Applied Communications between 2000 and 2019 to identify the research themes that establish the discipline’s scholarly base. Through an examination of n = 259 journal articles, we identified N = 27 research themes, the most prevalent of which included agriculture and media relations/practices (f = 30; % = 11.58), public perceptions/understanding of agriculture and natural resources (f = 25; % = 9.65), and agricultural communications academic programs and curricula (f = 21; % = 8.11). Then, we used Q methodology to identify viewpoints of agricultural communications scholars (e.g., faculty, graduate students; n = 45) as they relate to perceptions about the importance of research. We identified four dominant viewpoints of scholars in agricultural communications: Message Framing Influencers, Extension-Focused Scholars and Practitioners, Discipline-Conscious Researchers, and Tech-Savvy Scholars. Together, these viewpoints explained 59.43% of the study variance. Although participants who represented each of these groups had unique perspectives, participants generally agreed that public perceptions/understanding of agriculture and natural resources and crisis communications in agricultural communications were important research themes. Likewise, they generally agreed that the role of agricultural communications professional organizations, agricultural communications efforts during historical events, and agritourism were not important research themes.
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.
13 pages., While work on agricultural messaging is abundant, the way that audiences form perceptions of messages is not well understood and little research has examined the cognitive effects of image and word associations in an agricultural context. Previous knowledge gap research has shown that socioeconomic status and access to information could be one contributor of perception formation. We propose that these variables could also impact cognitive processing. Therefore, the purpose of this exploratory study was to examine how components of cognitive dissonance and knowledge gap theory apply in the context of a contentious agricultural issue. Data were collected from 1,049 United States’ residents through an online survey with an embedded experimental design. Respondents randomly received one of two image and word association pairings. After viewing the treatment, measures of cognitive conflict, demographics, and desire to learn more were collected. The results showed that the cognitive conflict instrument performed differently in the context of a complex agricultural issue than in prior research. Additionally, the message pairings had a stronger influence on cognitive conflict components than demographic characteristics. Finally, the desire to learn more was impacted by the message treatments. Future research on cognitive conflict and advanced modeling is recommended.
