24 pgs., In order to stay relevant in an online world, Extension must properly use social networking platforms to effectively reach diverse audiences regarding agricultural and natural resource issues. However, few studies have focused on how Extension uses Facebook to effectively accomplish its goal. This study’s purpose was to explore how Utah State University Extension Sustainability uses Facebook to engage followers. The researchers conducted a quantitative content analysis of 504 messages posted to the USU Extension Sustainability Facebook page. Graphics and links were the most common post characteristics used by the organization. Text-only posts and posts containing videos were utilized the least. Food was the most common area of sustainability discussed on the page. Posts containing videos, shared content, or that tagged other Facebook pages in messages experienced statistically significantly higher user engagement than posts without those characteristics. Posts containing hashtags experienced statistically significantly lower engagement. Neutral sentiment appeared in the majority of posts. Additionally, information seeking was the most dominant communicative function among the posts. Neither the type of sentiment nor communicative functions were significantly connected to engagement. Future research should determine changes in knowledge, attitudes, intentions, and behavior as a result of exposure to, and engagement with, the Facebook page. Additionally, a qualitative study determining consumers’ attitudes toward Facebook content can provide a deeper understanding of the audience’s thought processes and content preferences. Page administrators should craft engaging content that builds community among followers.
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.
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.
5 pages, via Online journal, The social media service Instagram is a popular public platform, but often underused tool to reach new demographics, reduce barriers, and perpetuate science-based information in extension. In the U.S. Intermountain West, Instagram was the top-rated platform for sharing information by predominantly new and female farmers. This article provides recommendations on key behaviors, goal setting, and quantifying impact on Instagram for extension programming. Accounts should target one niche or market, a consistent and personal voice, and regular communication (new content at least three times weekly). Unique and productive connections between extension personnel, community leaders, farmers, students, and public influencers expands programming. Tracking program accounts, including the number of followers and engagement rates, can assess program impacts and target market needs.
Littlefield, Joanne (author / Abraham Baldwin Agricultural College)
Format:
Presentation
Publication Date:
2020-10-26
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 202 Document Number: D11942
Notes:
PowerPoint visuals from webinar presented to the Society of Agricultural Communication Scholars on October 26, 2020. 16 pages., Presentation featuring techniques and principles of incorporating visual communication into agricultural communication teaching and research efforts.
23 pgs., Online Journal, Communication networks and knowledge sharing are important for the persistence of small farms that operate outside of industrial agriculture. In past years, internet platforms have been promoted as a tool for farm businesses to connect with customers and other farmers. Social media in particular has gained attention as a user friendly and accessible tool for small business viability. Drawing on Uses and Gratifications Theory, this study uses examines interviews with women farmers' in the United States to explore how they view the role of social media for their agricultural practice. Results demonstrate that women farmers report using social media to reach consumers, seek agricultural information, and maintain emotional connections with other farmers. Though important, women farmers are often overlooked in agricultural research and training programs. Theoretical and practical implications highlight how social media and agricultural trainings can promote media literacy and promote women farmers' success in agriculture.
Social Networks like Facebook, Twitter, YouTube and WhatsApp are now becoming very popular tools that are used for sharing the latest and important farming based information in different part of India. These tools are now widely used by Agricultural Extension and Advisory services to interact with the farmers for exchanging agricultural related information in India. The most influential farmers in a network can disseminate the information to the less central farmers of the network. The extension functionaries that promote the agricultural innovation will share the information with the most central members which in turn will share it with maximum number of the members of a social network. Social Network Analysis (SNA) acts as an efficient analytical tool that helps us to understand the relationship between farmer stakeholders and the importance of a farmer's position in the entire network. In this paper, a structural analysis of the Social Network is performed over two datasets, namely, Facebook-like dataset and Twitter Lists dataset. Here, we have studied the importance of individual nodes in the network through various centrality measures. SNA properties like centralities are used to represent the most central nodes that can act as a good influence spreader in the network. In this paper, initially the k-core decomposition method is used to find a set of influential nodes among all the nodes in the network. It is done to reduce the computational time. Our simulation shows that the nodes with higher Page Rank centrality can activate more members in a network as compared to other centrality measures. For Information diffusion, we have used Linear Threshold (LT) Model to understand the influence spread of the central farmers in the network.
24 pages, The central research question that guided this study was: how does the framing of written content on Facebook influence public perception of information regarding the management of wild horses and burros? This research was conducted using content analysis to examine 136 Facebook posts of six organizations communicating about the wild horse and burro controversy and 8,295 comments made by individuals to the organization’s posts. There were eight major themes that emerged from the data, organized by the interaction of three frames: organization frame, audience frame, and organization-audience interaction frame. Organization frame themes included: organization positionality and its influence on framing posts for emotional appeal and audience action, and organization post style, post frequency, and response frequency and its influence on audience reception of the issued. Audience frame themes included: action-oriented responses, emotional responses, government responses, and management-related responses. Organization-audience interaction frame themes included: the influence of organization comments on audience’s perception of the issue, and misinformation concerns.. These themes provide insight into how organizations and individuals are communicating about the wild horse and burro controversy using social media and illuminate opportunities for further research into social media communications to positively impact agricultural literacy. Recommendations for practice include: supplying necessary information to social media instead of relying on the audience to click links, keeping the perceived-cost and investment of requested audience participation low to encourage activism, and strategic planning regarding the frequency and types of post to maximize audience engagement.
