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.
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.
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.
Hashem, Nesrein M. (author), Hassanein, Eman M. (author), Hocquette, Jean-François (author), Gonzalez-Bulnes, Antonio (author), Ahmed, Fayrouz A. (author), Attia, Youssef A. (author), and Asiry, Khalid A. (author)
Format:
Journal article
Publication Date:
2021-06-08
Published:
United States: MDPI
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 203 Document Number: D12277
24 pages, In the near future, the year 2050, agricultural production should expand to fulfill the needs of approximately 9.7 billion inhabitants. Such an objective should be harmonized with social, economic, and environmental sustainability aspects to maintain safe food production and food security worldwide. For more than a year, the COVID-19 pandemic has raised and is still strongly disrupting the agro-livestock production sector, similar to several other economic sectors. In this sector, the relationships between suppliers, producers, and consumers should always continue to maintain the activity of the production chain, which are impaired by social distancing decisions taken following the emergence of the COVID-19 pandemic. In this study, a global cross-sectional survey (translated into four languages: Arabic, English, French, and Spanish) was shared with people belonging to the agricultural sector to identify: (1) the role of the agricultural information and communication technologies (ICTs) in agro-livestock farming systems sustainability during the period of COVID-19 pandemic, (2) the need for such technologies in the agricultural sector, and (3) the factors that affect the use of such technologies. The results showed that the most frequently used agricultural ICTs were social media (Facebook and/or WhatsApp; 27.3%) and online platforms and Internet services (26.3%), whereas robotic vehicles and/or drones (6.6%) were less frequently used. During the emergence of the pandemic, the major reasons impacting agro-livestock farming systems' sustainability were social distancing (30.0%), shortage of labor (17.7%), maintaining precision farm management (14.8%), product marketing (14.2%), access production inputs (7.2%), and others (16.1%). Applying agricultural ICTs solved many obstacles related to the production process, such as maintaining precision farm management (25.6%), product marketing (23.6%), and access production inputs (16.1%). The subgroup analyses of the results considering the degree of country advancement, size of agribusinesses, and role/position of respondents in the farm highlighted the importance of supporting the use, availability, and awareness of agricultural ICTs at least for some groups of people such as those belong to developing countries, laborers, and small-scale agri-business holders. This cross-sectional study highlights the urgent need to turn to and to expand the use of new agricultural ICTs to meet the growing demand for food production in the world and to ensure the resilience and sustainability of farming systems, specifically under unexpected and extreme conditions.
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.
5 pages, via Online journal, The social media service Instagram is a popular public platform, but often underused tool to reach new demographics, reduce barriers, and perpetuate science-based information in extension. In the U.S. Intermountain West, Instagram was the top-rated platform for sharing information by predominantly new and female farmers. This article provides recommendations on key behaviors, goal setting, and quantifying impact on Instagram for extension programming. Accounts should target one niche or market, a consistent and personal voice, and regular communication (new content at least three times weekly). Unique and productive connections between extension personnel, community leaders, farmers, students, and public influencers expands programming. Tracking program accounts, including the number of followers and engagement rates, can assess program impacts and target market needs.
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.
Pilar, Ladislav (author), Kvasnickova, Lucie (author), Gresham, George (author), Polakova, Jana (author), Rojik, Stanislav (author), and Petkov, Rosen (author)
Format:
Journal article
Publication Date:
2018-09-30
Published:
International
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 7 Document Number: D10283
via online journal, The amount of European farm acreage devoted to organic foods has been increasing each year over the past three decades, as farmers strive to meet consumer demand for these products. To understand what factors drive this demand, researchers have focused on the end customers' perception of organic food and their motivations to purchase it. The standard research methods are questionnaires and literature review; however, these tend to be expensive, time consuming, or involve work with secondary data. This paper compares 14 studies carried out using standard research methods with the results of a social network analysis based on 344,231 posts by 73,380 Instagram users. The result of the comparison shows that in the case of organic food, the characteristic of "healthy" is the most important one to customers, both based on questionnaire surveys and the social network analysis. Moreover, based on these two analyses, 4 key areas can be identified as factors that are important to customers buying organic food: (1) health consciousness, (2) ecological motives, (3) tasty and (4) hedonism. As the results indicate, social network analysis can be considered a method with a high potential for gaining a greater insight into customers' perceptions.
13 pages, The Internet has undoubtedly had an impact on society and brought about considerable changes in the world economy. Social media are prominent among the applications hosted by the Internet. To organisations that make use of them, they present a series of challenges and opportunities that can lead to enhanced business performance and local and regional development. Given the foregoing, the Delphi method was used to assess the impact of social media on product marketing in the Spanish olive oil sector. The findings of this study, based on expert opinion, point to the potential of social media, which in turn makes it necessary to plan for their use.
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.
