12 pages, The use of information and communication technology (ICT) has become progressively widespread in various sectors including agriculture. This study investigated the barriers to the diffusion of ICT in agricultural extension. Further, the study examined the effect of barriers toward ICT acceptance in agricultural extension. A paper and pencil survey by mail was conducted to collect data from 355 respondents in the Greater Surakarta Region, Indonesia. The study discovered that individual barriers, cultural barriers, government policy barriers, support and technological barriers significantly influenced the acceptance of ICT. In line with the Technology Acceptance Model (TAM), these variables influenced perceived ease of use, perceived usefulness and perceived intention to use of ICT. The findings suggested the methods that could be adopted by governments and non-government bodies to overcome the barriers in ICT implementation.
18 pages., Interdisciplinary agricultural research centers are becoming more common at land-grant universities. These centers often use an interdisciplinary approach to address complex science issues. As these centers address agricultural issues that impact society, effective science communication is a necessary activity. However, these centers may face unique barriers or opportunities. This study utilized a qualitative approach to identify the barriers and motivations of interdisciplinary agricultural center directors when communicating about science. Participants identified common science communication challenges, such as time and lack of funding. Funding was also identified as a motivation, as well as factors related to the tenure and promotion process. Recommendations from this work include evaluating the public relations and the effectiveness of science communication from these centers. Future research should also examine the financial structure of interdisciplinary centers to better inform best practices.
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.
