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2. Crowdsourcing change: An analysis of Twitter discourse on food waste and reduction strategies
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Specht, Annie R. (author), Buck, Emily R. (author), and Ohio State University The Ohio State University Association for Communication Excellence
- Format:
- Journal article
- Publication Date:
- 2019
- Published:
- United States: New Prairie Press
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 15 Document Number: D10432
- Journal Title:
- Journal of Applied Communications
- Journal Title Details:
- 103(2)
- Notes:
- 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.
3. Scientific citizens, smartphones and social media – reshaping the socio-spatial networks of participation: Insects, soil and food
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Reed, Matt (author)
- Format:
- journal article
- Publication Date:
- 2020-03
- Published:
- United States: Sciendo
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 203 Document Number: D12232
- Journal Title:
- MORAVIAN GEOGRAPHICAL REPORTS
- Journal Title Details:
- Vol. 28 Issue 1
- Notes:
- 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.
4. Short food supply chains from a social media marketing perspective: a consumer-oriented study in Spain
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Elghannam, Ahmed (author) and Mesias, Francisco (author)
- Format:
- Online journal article
- Publication Date:
- 2019-03
- Published:
- Bononia University Press
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 121 Document Number: D11092
- Journal Title:
- New medit: Mediterranean journal of economics, agriculture and environment
- Journal Title Details:
- 18(1): 79-90
- Notes:
- 12 pages., via online journal., The increasing use of internet, especially the proliferation of social networks has offered companies of all sectors the opportunity to keep in contact with their consumers; getting their feedbacks and complains on a daily basis and even to create short online chains enabling consumers to buy their products. This trend is found to be rather limited in the case of food products. The main objective of this article is to deal with consumer’s perceptions towards the potential use of social media to create online short supply chains for food. Projective techniques (Sentence completion tasks) have been used in this study. As, they allow researchers to uncover motivations, emotions and beliefs that drive consumer’s perception and behavior which may not be detected by straightforward questioning. The findings of this study have allowed to obtain insight into those aspects that consumers regard as opportunities or barriers of such potential short food chains. The main aspect is to put food enterprises in the picture about what is going on in consumer’s mind. This might open new possibilities for food businesses to develop a new short food chain.
5. The State and Future of Smart Agriculture: Insights from mining social media
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Ofori, Martinson (author) and El-Gayar, Omar (author)
- Format:
- Conference paper
- Publication Date:
- 2019-12
- Published:
- United States: IEEE
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 203 Document Number: D12222
- Journal Title:
- 2019 IEEE International Conference on Big Data (Big Data)
- Notes:
- 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.
6. Utilization of text mining as a big data analysis tool for food science and nutrition
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Tao, Dandan (author), Yang, Pengkun (author), and Feng, Hao (author)
- Format:
- Journal article
- Publication Date:
- 2020
- Published:
- International
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 166 Document Number: D11679
- Journal Title:
- Comprehensive Reviews of Food Science and Food Safety
- Journal Title Details:
- 19 : 875-894
- Notes:
- 20 pages., Via online from the University of Illinois website., Authors' review provided an overview of the data sources, computational methods, and applications of text data in the food industry. Applications of text data analysis were illustrated with respect to food safety and food fraud surveillance, dietary pattern characterization, consumer-opinion mining, new-product development, food knowledge discovery, food supply-chain management, and online food systems.