Napoli, Philip M. (author), Weber, Matthew (author), McCollough, Katie (author), and Wang, Qun (author)
Format:
Research report
Publication Date:
2018
Published:
USA: DeWitt Wallace Center for Media and Democracy, Stanford School of Public Policy, Duke University.
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 124 Document Number: D11221
Notes:
26 pages., Findings based on an analysis of more than 16,000 news stories gathered over seven days, across 100 randomly sampled U.S. communities with populations of 20,000 to 300,000. Among the findings: 20 communities contained no local news stories, only about 17% of the news stories provided to a community were truly local; less than half (43%) of the news stories to a community by local media outlets were produced by the local media outlet; and just over half (56% of the news stories provided to a community by local media outlets addressed what was defined as a "critical information need." Findings provided evidence of the "news deserts" problem confronting local communities.
USA: Donald W. Reynolds National Center for Business Journalism, Arizona State University, Phoenix, AZ
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 201 Document Number: D11700
Notes:
2 pages., Online from publisher website., Author discusses some business impacts of climate change and offers suggestions for coverage by business and science writers.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: D08852
Notes:
Pages 109-128 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.
12 pages., Authors presented an algorithm to analyze the behaviour of users of Twitter involving the environment and health care. To illustrate, they presented a concrete example of how the associated graph structure of the tweets related to World Environment Day 2019 was used to develop a heuristic analysis of the validity of the information.
