23 pages., via online journal, Cultured meat has yet to reach store shelves but is nonetheless a growing issue for consumers, producers, and government regulators, many of whom have taken to social media to discuss it. Using a conceptual framework of social cognitive theory and issues management, this qualitative content analysis investigated social-media discourse surrounding the topic of cultured meat in the United States by describing the content of the discussion in late 2018 and identifying individual influencers and communities of influencers engaged in the discussion. Data were collected from Twitter using listening platform Sysomos MAP. The thematic analysis revealed eight themes: legality and marketing, sustainability, acceptance, business, animal concerns, science and technology, health concerns, and timeline, and indicated that conflicting views and questions about cultured meat exist among conversation participants. Top influencers included philanthropists, government officials, journalists and writers, and animal-welfare advocates. These influencers were grouped into four distinct communities based on interactions with each other and other users. The topics identified in the analysis provide insight into ways in which communicators can enter these conversations, and influencer communities represent groups of users whose broad reach could more easily transmit pro-agriculture messages.
10 pages, Enormous quantities of data are generated through social and online media in the era of Web 2.0. Understanding consumer perceptions or demand efficiently and cost effectively remains a focus for economists, retailer/consumer sciences, and production industries. Most of the efforts to understand demand for food products rely on reports of past market performance along with survey data. Given the movement of content-generation online to lay users via social media, the potential to capture market-influencing shifts in sentiment exists in online data. This analysis presents a novel approach to studying consumer perceptions of production system attributes using eggs and laying hen housing, which have received significant attention in recent years. The housing systems cage-free and free-range had the greatest number of online hits in the searches conducted, compared with the other laying hen housing types. Less online discussion surrounded enriched cages, which were found by other methods/researchers to meet many key consumer preferences. These results, in conjunction with insights into net sentiment and words associated with different laying hen housing in online and social media, exemplify how social media listening may complement traditional methods to inform decision-makers regarding agribusiness marketing, food systems, management, and regulation. Employing web-derived data for decision-making within agrifood firms offers the opportunity for actionable insights tailored to individual businesses or products.
4 pages, via Online journal, Since late Mar. 2020, many universities halted normal operations due to the Coronavirus Disease 2019 (COVID-19) pandemic. Although extension uses many different techniques to educate consumers, it has been slow to grasp the power of social media. Faced with a dilemma of using digital methods instead of in-person field days, short courses, and workshops, Twitter was a viable alternative, especially for broad audience engagement. Tweet threads were posted on Twitter every Monday morning from 6 Apr. to 8 June 2020. Each thread consisted of 10 tweets. A hashtag #YardFruits was used to start the thread and for later reference. For the first nine threads only one fruit species was discussed per thread. The final thread consisted of single tweets of several species. Engagement percentage did not differ over time but did differ among the crop species. Tweets that did not include a photo received less engagement (2.7%) than those that did include a photo (4.7%). My Twitter account saw a 6.5% increase in followers during the series. Grape (Vitis sp.), passion fruit (Passiflora sp.), fig (Ficus carica), and pear (Pyrus communis) threads had the least engagement and were different from the Other Fruits thread. All other threads were similar. Extension educators can grow their influence by using well-targeted, focused tweets and tweet threads, especially those that use hashtags and photos.
3 pages, Figure 1 above appeared on July 31, 2018, in Bloomberg. Bloomberg tweeted this graphic on August 13, and twenty-four hours later it had been retweeted by 84 twitter accounts and “liked” 118 times. Chances are you have seen this graphic on your social media newsfeed (e.g., Facebook, Twitter) by now. It is a novel idea to portray how U.S. land use could be represented across the United States. However, to the casual observer, which is most everyone viewing a graphic on social media, this graphic is misleading.
22 pages., via online journal., Scientists are frequently asked to broadly share their expertise and research with a variety of audiences, beyond typical academic circles in their home disciplines. That could include developing community engagement programs, school outreach, leveraging online social networks, and other activities. The purpose of this study was to examine U.S. agricultural and natural resources (ANR) scientists’ typical science communication channels, their experiences utilizing Twitter for sharing their knowledge, research, and engaging in online public science discussion. Diffusion of Innovations theory and the model of science in-reach versus outreach guided this study. Researchers used a qualitative case study design. Data collection included ANR scientist interviews (n = 8) and application of Internet-based research methods for observing scientists’ Twitter activities. Four themes emerged from the data: 1) academic journals and conferences as scientists’ typical communication channels, yet Extension efforts help to broaden audiences, 2) scientists expected research to be peer-reviewed before public dissemination to combat misinformation and spreading of ‘junk science’, 3) scientists balanced professionalism, personalization, promotion, and Twitter hashtags for engagement, and 4) scientist-identified barriers to using Twitter included lack of time and avoiding heated discussions. Recommendations include revisiting scientists’ job descriptions and expectations for online science engagement. Also, there should be continual development and implementation of science communication training for scientists targeting best Twitter practices, growing followers for outreach beyond academic colleagues and groups, using visuals for online engagement, intentional scheduling for social media, and how to effectively navigate heated online discussions.
Moyo, Rachel (author), Salawu, Abiodun (author), and Department of Communication, North West University, Private Bag X2046, Mafikeng, 2735, South Africa
Format:
Online journal article
Publication Date:
2019-02
Published:
South Africa: Elsevier
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 151 Document Number: D10129
7 pages., Via online journal., This study is a quantitative survey of communication media preferred by smallholder farmers resettled under the Fast Track Land Reform Programme (FTLRP) in the Gweru district of Zimbabwe. Data were gathered using a questionnaire and simple random sampling. Communication is integral to agricultural development, particularly so in the context of the FTLRP characterized by a dearth of information, education and training, ensued by the discriminatory command agriculture (Murisa and Chikweche, 2015). Farmers' preferences of communicationmedia in receiving agricultural innovations should be prioritised to improve agricultural communication andsubsequently, productivity, which is dire in Zimbabwe in the light of the continuing food insecurity. Thefindingsindicated that farmers prefer media that are stimulating and engaging such as television and demonstrations;convenient such as mobile phones and detailed such as books probably because the majority of them do not have training in agriculture. Demographic variables of age-group and education were found to be associated with communication preferences of some media. The study has implications for agricultural communication media policy. Beyond prioritization of farmers’preferences, a model of a multi-media approach to agricultural communication has been developed, that could widen communication reach if implemented.
Austin, Lucinda L. (author / University of North Carolina at Chapel Hill), Schultz, MaryClaire (author / Elon University), and Gaither, Barbara Miller (author / Elon University)
Format:
Book chapter
Publication Date:
2019
Published:
International
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 102 Document Number: D10898
Notes:
See also D10895., Pages 95-103 in Brigitta R. Brunner and Corey A. Hickerson (editors), Cases in public relations: translating ethics into action. Oxford University Press, New York City, New York. 359 pages., Reports on goals of McDonald's to increase transparency with consumers. While their goals are clear, their actions fall short."
15 pages., via online journal., Organic agri-food products in Spain face major commercial problems in the home market as a result of consumers’ lack of information about this type of product and difficulties in accessing it, and the considerable price differential between organic products and their conventional equivalents. This study proposes that consideration should be given to social media as a factor for mitigating these commercial problems and improving the competitiveness of organic food companies. Specifically, the aim of this research was to examine the social media penetration and activity of olive oil sector companies and ascertain whether organic and non-organic operators present differences in this respect. To this end, a checklist was used to analyse the social media activity of 663 olive oil companies in total, comprising both organic and non-organic producers. The results reveal statistically significant differences in social media penetration and use by organic and non-organic operators, with the former being more active in these networks. Nevertheless, the social media efforts of organic operators are less effective, owing to the limited demand for their products.
