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    2. Crowdsourcing change: An analysis of Twitter discourse on food waste and reduction strategies

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    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.

    4. Exploring the effect of chief executive social media engagement on agricultural commodity prices

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    Collection:
    Agricultural Communications Documentation Center (ACDC)
    Contributers:
    Benavidez, Justin R. (author), Ribera, Luis A. (author), and Thayer, Anastasia (author)
    Format:
    Paper
    Publication Date:
    2020
    Published:
    International
    Location:
    Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 201 Document Number: D11717
    Notes:
    Paper presented at the 2020 Agricultural and Applied Economics Association Annual Meeting, Kansas City, Missouri, July 26-28, 2020. 20 pages., Authors assessed the impact of tweets by U.S. President Donald Trump on agricultural commodity prices during the trade war with China. Results indicated tht days with high counts of tweets with keywords associated with the 2018-2019 trade war led to statistically significant structural breaks in the price series for hogs, corn, cotton, and soybeans.

    5. Following the tweets: what happened to the IPCC AR5 synthesis report on Twitter?

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    Collection:
    Agricultural Communications Documentation Center (ACDC)
    Contributers:
    Yagodin, Dmitry (author), Tegelberg, Matthew (author), Medeiros, Débora (author), and Russell, Adrienne (author)
    Format:
    Book chapter
    Publication Date:
    2017
    Location:
    Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: D08856
    Notes:
    Pages 193-211 in Kunelius, Risto Eide, Elisabeth Tegelberg, Matthew Yagodin, Dmitry (eds.), Media and global climate knowledge: journalism and the IPCC. United States: Palgrave Macmillan, New York City, New York. 309 pages.

    6. Networked learning for agricultural extension: a framework for analysis and two cases

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    Collection:
    Agricultural Communications Documentation Center (ACDC)
    Contributers:
    Bennett, M. John (author) and Starasts, Anna (author)
    Format:
    Online journal article
    Publication Date:
    2017-05-24
    Published:
    Australia: Taylor & Francis
    Location:
    Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 151 Document Number: D10131
    Journal Title:
    Journal of Agricultural Education and Extension
    Journal Title Details:
    23(7) : 399-414
    Notes:
    17 pages., Via online journal., Purpose: This paper presents economic and pedagogical motivations for adopting information and communications technology (ICT)-mediated learning networks in agricultural education and extension. It proposes a framework for networked learning in agricultural extension and contributes a theoretical and case-based rationale for adopting the networked learning paradigm. Design/methodology/approach: A review of the literature highlights the economic and pedagogical need for adopting a networked learning approach. Two examples are described to instantiate the language for learning networks: a small community of farmers in India and large Twitter community of Australian farmers. Findings: This paper reviews evidence that successful networked learning interventions are already occurring within agricultural extension. It provides a framework for describing these interventions and for helping future designers of learning networks in agricultural extension. Practical implication: Facilitation of learning networks can serve to achieve efficient agricultural extension that connects farmers across distances for constructivist learning. To realize these benefits, designers of learning networks need to consider set design, social design and epistemic design. Theoretical implication: This paper contributes a theoretical framework for designing, implementing and analysing learning networks in agriculture. It does this by integrating existing ideas from networked learning and applying them to the agricultural context through examples. Originality/value: This paper contributes an understanding of the value of networked learning for extension in terms of economic and pedagogical benefits. It provides a language for talking about learning networks that is useful for future researchers and for practitioners.

    10. Utilizing Twitter to communicate risk after a natural disaster

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    Collection:
    Agricultural Communications Documentation Center (ACDC)
    Contributers:
    Ruth, Taylor K. (author), Suits, Teresa (author), McLeod-Morin, Ashley (author), Telg, Ricky W. (author), and Association for Communication Excellence (ACE) University of Nebraska-Lincoln University of Florida
    Format:
    Online journal article
    Publication Date:
    2020-02
    Published:
    United States: New Prairie Press
    Location:
    Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 131 Document Number: D11304
    Journal Title:
    Journal of Applied Communications
    Journal Title Details:
    104(1)
    Notes:
    18 pages., via online journal, Hurricane Michael hit the Florida panhandle as a category five hurricane on October 10, 2018. One of the risks after a hurricane is the spread of mosquito-borne disease due to standing floodwaters, which provide perfect breeding grounds for mosquitoes. People often turn to social media during times of crisis to receive up-to-date information. Therefore, there is a need to understand how to use social media to communicate about risks after a natural disaster. The purpose of this study was to explore how Twitter was used to communicate about mosquito control before and after Hurricane Michael and was guided by the Centers for Disease Control’s crisis communication recommendations. Data were collected using Sysomos Media Analytics Platform (MAP). The search included tweets about mosquito control two weeks before and two weeks after Hurricane Michael made landfall and was limited to Florida residents. There were 198 tweets about mosquito control in this timeframe, and a sharp increase in tweets in the weeks following the hurricane. Users tweeting the most about mosquito control were public agencies like mosquito control districts, and common hashtags included #mosquito and #mosquitocontrol; #HurricaneMichael was rarely used. The largest number of tweets were identified with the frame Be First to warn people about mosquito spraying in their local areas. A minority of tweets promoted self-efficacy or promoted action related to mosquito control. None of the analyzed tweets expressed empathy. Extension can use the findings from this study to guide future risk communication on social media following a natural disaster.