17 pages., Via online journal., Food waste has emerged as a major issue in the United States as the nation collectively sends more than 133 billion pounds of food to its landfills every year. In September 2015, the USDA and EPA announced an initiative to cut U.S. food waste in half by 2030. Between 2015 and 2016, nearly 100,000 posts about food waste have been published on Twitter, a microblogging platform that has been a hub of “slacktivism” since its inception in 2006. Using a conceptual framework of social cognitive theory, online activism, and crowdsourcing, we analyzed food waste conversation participants’ demographics, online communities, and proposed solutions. Data analysis was conducted with listening software Sysomos MAP and a qualitative content analysis of conversation content. The analysis revealed that more than 2,000 U.S. users engaged in the conversation, forming four discrete conversation communities led by influencers from government, news media, and environmental organizations. Proposed solutions to the food waste crisis included domestic or household behavior change, food-waste diversion and donation, recycling and upcycling, consumer education, and governmental action and policy. We recommend using Twitter to mine, test, and deploy solutions for combating food waste; engage with influential users; and disseminate materials for further research into the behavioral implications of online activism related to food waste.
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.
Baranowski, Dariusz B. (author), Flatau, Maria K. (author), Flatau, Piotr J. (author), Karnawati, Dwikorita (author), Barabasz, Katarzyna (author), Lubaz, Michal (author), Latos, Beata (author), Schmidt, Jerome M. (author), Paski, Jaka A.I. (author), and Marzuki (author)
Format:
Journal article
Publication Date:
2020-05-19
Published:
UK: Nature Portfolio
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 207 Document Number: D13091
10 pages, Floods are a major contributor to natural disasters in Sumatra. However, atmospheric conditions leading to floods are not well understood due, among other factors, to the lack of a complete record of floods. Here, the 5 year flood record for Sumatra derived from governmental reports, as well as from crowd-sourcing data, based on Twitter messages and local newspapers’ reports, is created and used to analyze atmospheric phenomena responsible for floods. It is shown, that for the majority of analyzed floods, convectively coupled Kelvin waves, large scale precipitation systems propagating at ∼12 m/s along the equator, play the critical role. While seasonal and intraseasonal variability can also create conditions favorable for flooding, the enhanced precipitation related to Kelvin waves was found in over 90% of flood events. In 30% of these events precipitation anomalies were attributed to Kelvin waves only. These results indicate the potential for increased predictability of flood risk.
