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.
13 pages, Agricultural fairs provide one of the last frontiers, and largest stages, for showcasing livestock agriculture to the public. However, public funding, attendance revenue, animal biosecurity, and public health concerns are all aspects worthy of conversation and increased research attention given the interaction between livestock animals and the general public in fair and festival settings. A prominent social media listening and data analytics platform was used to quantify online and social media chatter concerning agricultural fairs during a 27-mo period. A general search for online media referencing agricultural fair keywords was designed; social and online media mentions of agricultural fairs (n = 2,091,350 mentions) were further queried according to their reference to livestock, fair food, or the major agricultural product producing species of dairy and beef cattle (n = 68,900), poultry (n = 39,600), and swine (n = 31,250). Numbers of search results were found to be seasonal and Twitter was the single largest domain for all fair-related results; in contrast, the majority of livestock-related media was generated by news sources rather than from Twitter. On a weekly basis, the percentage of fair livestock mentions with species-specific reference was highly variable ranging from 0% to 86.8% for cattle, 0% to 85.7% for poultry, and 0% to 76.9% for swine. In addition to quantifying total search hits or mentions, the positivity/negativity of the search results was analyzed using natural language processing capabilities. The net sentiment quantified is the total percentage of positive posts minus the percentage of negative posts, which results in a necessarily bounded net sentiment between −100% and +100%. Overall net sentiment associated with mentions of agricultural fairs was positive; the topics garnering the highest positive sentiments were fair food and cattle (both 98% positive). Online discussion pertaining to agricultural fairs and swine was overall positive despite references to swine flu outbreaks. In conclusion, livestock and animal products had positive net sentiment over the time period studied, but there are multiple aspects of agricultural fairs worthy of further investigation and continued vigilance, including zoonotic disease risk and public perceptions of livestock industries.
28 pages, This study investigates how the emotional tone of food safety risk communication messages predicts message virality on social media. Through a professional Internet content tracking service, we gathered news articles written about the 2018 romaine lettuce recall published online between October 30th and November 29th, 2018. We retrieved the number of times each article was shared on Twitter and Pinterest, and the number of engagements (shares, likes, and comments) for each article on Facebook and Reddit. We randomly selected 10% of the articles (n = 377) and characterized the emotional tone of each article using machine learning, including emotional characteristics such as discrete emotions, emotional valence, arousal, and dominance. Conveying negative valence, low arousal, and high dominance, as well as anger and sadness emotions were associated with greater virality of articles on social media. Implications of these findings for risk communication in the age of social media are discussed.
7 Pages, Despite the outreach-building benefits of social media for Extension, it is time for Extension professionals to find new innovative ways to reach out that do not involve social media. An increasing body of research has demonstrated the harms social media use imparts on the health and well-being of those in our communities. Our future use of social media as a primary method of outreach may perpetuate these harms, requiring our best efforts to develop new methods of outreach that do not negatively affect those we serve.
4 pages, Social media use in public health and other health related research applications has seen a rapid increase in recent years. However, there has been very limited utilization of this growing digital sector in agricultural injury research. Social media offers immense potential in gathering informal data, both text and images, converting them into knowledge, which can open up avenues for research, policy, and practice. There are a number of ways social media data can be utilized in agricultural injury research. This paper touches on the adoption of these data sources in health research and discusses the use of social media as an exploratory research tool that can peer into and identify the edges of potential health and safety problems.
15 pages, The post-war Western world has seen a gradual shift from government to governance, a process that also concerned the issues related to agro-food sustainability, such as food quality, environmental impact, social justice, and farm animal welfare. Scholars believe that social media are a new site that reconfigures relations between various actors involved in the governance of these problems. However, empirical research on this matter remains scarce. This paper fills this gap by examining the case of Februdairy, a Twitter hashtag campaign to promote the British dairy industry, hijacked by animal protection activists. For this case, I employ the relational perspective on technology affordances—as operationalised by Faraj and Azad (in: Leonard et al. (eds), Materiality and organizing. Social interaction in a technological world, Oxford University Press, Oxford, 2012)—to highlight two distinct strategic modes of embracement of social media functionalities by the opposing groups: hashtag hijacking and crowdsourcing transparency. The analysis reveals also that a pre-existing social structure of the agro-food system conditions reconfiguration of social relations by technology in a way that actually strengthens the tendency to govern the issue of farm animal protection with market mechanisms.
16 pages, Food policy increasingly attempts to accommodate a wider and more diverse range of stakeholder interests. However, the emerging influence of different communities and networks of actors with localized concerns and interests around how food should be produced and traded, can challenge attempts to achieving more open, sustainable and globally-integrated food chains. This article analyses how cultural factors internal to a developed country can disrupt the export of food to a developing country. A framing analysis is applied to examine how activists using social media to interact with the traditional news media in Australia were able to inflame public opinion and provoke outrage to disrupt the policy agenda. The paper contains a case study analysis of the media controversy in 2011 around the slaughter of beef cattle in Indonesian abattoirs and the subsequent banning of live cattle exports to Indonesia by Australia. The analysis draws on the theory of binary cultural oppositions to examine how practices in relation to the slaughter of beef cattle in Indonesia were reframed, through extensive media coverage of moral outrage into a critique of the values and cultural practices of Indonesian society.
8 pages, The conjunction of citizen science and social media through the mediation of the smartphone is investigated in this Scientific Communication, following on from the last issue of the Moravian Geographical Reports (2019, Vol. 27, No. 4). Through a reconsideration of three previously published articles, in part written by the author, this paper reflects on these topics with regard to farmer innovation, local food networks and citizen-informed ecology. Each of these papers has used Twitter to gather data about practices of innovation and observation that have revealed new insights about innovation networks amongst farmers, urban-rural connections and insect behaviours. The reflections reported here are embedded in a discussion of the rise of the term 'Citizen Science'. Recent experiences in areas as diverse as fisheries management and combating Ebola, have informed societal needs for greater engagement in finding inclusive, comprehensive solutions to urgent socio-ecological problems. This paper suggests a compositional approach to studies using citizen scientists and their data as a new avenue of practice and investigation.
9 pages, Social media has been recognized as a powerful tool supporting communication of many topics in the agriculture industry. We explored the use of social media platforms among farmers market managers and specialty crop growers in Illinois through an online survey. Facebook, Instagram, and Twitter were platforms used by the majority of respondents. We found that social media was used primarily for communicating with consumers for marketing purposes. We identified major training needs of farmers market stakeholders related to using social media to promote business and convey food safety information.
10 pages, Abstract— Smart agriculture involves the use of technology such as drones, GPS, robotics, IoT, AI, big data, and solar energy to improve farming practices. As with any disruptive innovation, however, stakeholder expectations can be misaligned from what the innovation can actually deliver. There can also be varying perspectives on what the innovation entails, related topics of interest, and impediments to large scale adoption. This study examines public perception of smart agriculture and its perceived drivers and challenges as present in social media discourse. We collected online posts from Twitter, Reddit, forums, online news and blogs between January 2010 and December 2018 for analysis. Results show that 38% of social media posts contained emotion with 52% joy, 21% anger and 12% sadness. Through topic analysis, we discovered seven key drivers and challenges for smart agriculture which included: enabling technologies, data ownership and privacy, accountability and trust, energy and infrastructure, investment, job security, and climate change.
