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.
Using two samples of U.S. adults (Study 1: N = 336; Study 2: N = 2329), this study features a messaging experiment utilizing a between-subjects design, with a no-message control group, to explore the impact of a narrative video, in comparison to an infographic video, on support for sustainable aquaculture. Results indicate that the infographic video type is more transporting than the narrative video, and that transportation influences support for aquaculture indirectly through emotional response, as well as risk and benefit perceptions; however, importantly, we also note that video content may have contributed to the observed differences. For an emerging issue like aquaculture with environmental and human health implications, strategic messaging, especially when accompanied by vivid images, may allow audiences to better engage with a complex and contentious topic.
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.
27 pages., The provision of information through mobile phone-enabled agricultural information services (m-Agri services) has the potential to revolutionise agriculture and significantly improve smallholder farmers’ livelihoods in Africa. Globally, the benefits of m-Agri services include facilitating farmers’ access to financial services and sourcing agricultural information about input use, practices, and market prices. There are very few published literature sources that focus on the potential benefits of m-Agri services in Africa and none of which explore their sustainability. This study, therefore, explores the evolution, provision, and sustainability of these m-Agri services in Africa. An overview of the current landscape of m-Agri services in Africa is provided and this illustrates how varied these services are in design, content, and quality. Key findings from the exploratory literature review reveal that services are highly likely to fail to achieve their intended purpose or be abandoned when implementers ignore the literacy, skills, culture, and demands of the target users. This study recommends that, to enhance the sustainability of m-Agri services, the implementers need to design the services with the users involved, carefully analyse, and understand the target environment, and design for scale and a long-term purpose. While privacy and security of users need to be ensured, the reuse or improvement of existing initiatives should be explored, and projects need to be data-driven and maintained as open source. Thus, the study concludes that policymakers can support the long-term benefit of m-Agri services by ensuring favourable policies for both users and implementers.
