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.
10 pages., This study examined the edu-communication strategies that agriculture extension service agencies use in the dissemination and promotion of innovation adoption among cashew farmers in the Kpandai district agricultural zones in Northern Ghana. A total of 140 cashew farmers were sampled using simple random sampling technique. Three District Agricultural Officers (DAO) and twenty-one satellite Agriculture Extension Officers (AEO) were also drawn into the sample. The results of the study show that, face to face interaction, field demonstration, entertainment- education through community radio broadcasting and Farmer Group Discussions (FGDs) were extensively and efficiently used by the AEOs to promote adoption of improved production technologies among cashew farmers. The study discovered that EduCom strategies contribute to higher rates of adoption and partly accounts for increased cashew yields in the study area. The indigenisation of agriculture extension services approaches using local language in the design and dissemination of adoption process is, highly recommended as a core tenet of technology dissemination if higher adoption rates are expected.
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.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: Byrnes9 Document Number: D09071
Notes:
Includes Documents B00239, B01341, B02044, B02311, C08798, C12642, C12643, C12644, C12645, C12646. In four folders in the box., Francis C. Byrnes Collection
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.
27 pages, Extension programs must constantly evaluate communication plans and platforms to determine if they are worth the investment of time, money, and resources. Podcasts are growing in popularity as a communication platform for education and entertainment. With the VARK model of learning styles and core plant pathology concepts as a guide, researchers evaluated the prevalence and type of plant pathology information in podcasts to better understand how podcasts could benefit Extension plant pathology programs. Using keywords related to plant pathology, researchers searched popular mobile podcast listening applications and evaluated relevant podcast episodes using content analysis methods. Results indicated few podcast shows discuss plant pathology topics. The podcast shows identified, however, covered eight fundamental units of plant pathology knowledge: basics of plant pathology, plant pathology techniques, biology of plant diseases, biology of plant pathogens, management of plant diseases, influence of the environment, other causes of plant disease symptoms, and importance of fungi. Results suggested that podcasts can effectively communicate different types of plant pathology information to audiences. Plant pathology Extension programs can utilize the findings of this study to create new plant pathology podcasts that meet the changing needs of plant pathology Extension clientele. It is worthwhile to further explore the use of podcasts in plant pathology Extension programs.
