Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 12 Document Number: D10405
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4 pages., Online from Australian Broadcasting Corporation website., During a severe drought, a Queensland grazier decided to share her story on a social media post that included distressing images of livestock. Unintended consequences included accusations of animal abuse and investigation by Biosecurity Queensland.
19pgs, New communication methods and technology continue to emerge and evolve – as do societal trends – making it paramount that Extension professionals stay abreast with the preferred communication channels of potential clientele. By being aware of clients’ preferred communication channels, Extension professionals can increase the number of participants who benefit from their work while also improving the quality of the message being delivered. The present study examined the preferred communication channels of potential Extension clientele specifically when gathering information regarding their community. Specifically, a non-probability opt-in sampling procedure was employed whereby respondent (N = 3,347) communication channel preferences were analyzed from an audience segmentation and uses and gratifications perspective. Overall, the results indicated the most effective channels through which to reach potential Extension clientele under 50 years of age is through the internet and social media, while word of mouth and newspaper are preferred channels for those 50 and over. However, the results of the study indicate there are a variety of potential communication channels with varying degrees of preference among different audiences. Using study results as a starting point to inform communication channel strategy may help to Extension professionals ensure the correct message is provided to the correct audience via the correct channel.
18 pages, The purpose of this study was to assess the knowledge level of farmers on basic computer literacy, social media use, and to explore which social and demographic factors affected their knowledge capacity. The study had a final sample of 176 participants from the northern, southern and central regions of Trinidad and Tobago. A survey instrument comprising of 14 multiple-choice questions with one accurate response was developed to decrease bias of farmers randomly selecting the accurate response. The questions addressed knowledge on basic computer and social media literacy. Analysis was conducted using one-way ANOVA with post-hoc testing. Results indicated that there were significant differences in farmers’ performance in the knowledge test based on characteristics such as age, education, and household use of social media and the internet. Based on the findings, minimal training in computer and social media literacy did not impede the farmers’ use of the computer or social media. These discoveries highlight the potential of extension programs using the internet and social media applications to improve communication efficiency among agricultural stakeholders within farming communities.
