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.
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.
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
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.
