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.
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.
6 pages., Online via Directory of Open Access Journals (DOAJ)., Author analyzed case studies of corruption reported in 24/7 "convergent" media and concluded: "As the mainstream media is failing in exposing the enormous corruption in the government, there is a need to use the 'convergence' and 'blogging' to expose the corruption from the people side."
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.
Garrett M. Steede (author), Courtney Meyers (author), Nan Li (author), Erica Irlbeck (author), Sherice Gearhart (author), and Texas Tech University; University of Minnesota - Twin Cities
Format:
Journal article
Publication Date:
2018
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 149 Document Number: D10103
Article 4; pgs. 1-16, On January 1, 2017, the final rule of the Veterinary Feed Directive (VFD) was put into place requiring
antibiotics approved for both humans and animals to be discontinued for growth promotion. This change was
brought on by the role growth promoters in livestock production play in the development of antibiotic
resistance. Antibiotic resistance increases the costs associated with human health care by increasing the length
of stays in the hospital and requiring more intensive medical care for patients. The purpose of this study was to
explore sentiment and characteristics of social media content and the characteristics of the key influencers
whose opinions had the greatest amount of reach on social media in regard to antibiotic use in livestock and
antibiotic resistance. Nuvi, a social media monitoring program, provided sentiment for each tweet and coded
64.8% of the content (n = 129) as negative compared to 38.2% (n = 76) humans coded as negative. The
contrast between human coders and Nuvi indicates there could be discrepancies between how Nuvi codes
content and the way a human might interpret the content. No key influencer discussed antibiotic use in
livestock positively. Findings suggest agricultural communicators should not rely completely on the output
from sentiment analysis programs to evaluate how the public discusses issues related to agriculture,
particularly controversial issues. Further, agricultural communications practitioners should prioritize
monitoring the content shared by key influencers in an effort to better understand the content being shared by
the most influential users. Recommendations for future research are provided.
14 pages., via online journal., Issue arenas, as places for societal discussions, have recently been studied as an important aspect of organizational environments. While a fundamental part of any issue arena is the distinction between active and passive actors, empirical analyses have mainly focused on active stakeholders. We approach issue arenas as communication networks in which active stakeholders discuss topics and involve passive stakeholders. Based on network theory, we introduce an automated method for mapping these issue arenas on Twitter. In particular, we combine manual coding of active stakeholders, and automated semantic network analysis of addressed, passive stakeholders and their topics of discussion. Empirically, we focus on the issue of bird flu affecting poultry farming in the Netherlands from 2015 to 2017 with a sample of 704 Twitter messages. Instead of pre-defining a set of stakeholders for the analysis, our approach to study communication networks in online settings allows for mapping issue arenas based on the stakeholders that communicate about the topic.
