Description

This thesis will examine possible connection points between the health of a local environmental/climate news ecosystem and that local community’s belief in and vulnerability to the effects of climate change in Central Appalachia and Northern Virginia. The three counties that

This thesis will examine possible connection points between the health of a local environmental/climate news ecosystem and that local community’s belief in and vulnerability to the effects of climate change in Central Appalachia and Northern Virginia. The three counties that will be studied in Virginia are Arlington, Buchanan and Wise Counties. This research will be mainly a hypothesis-generating descriptive analysis of data, coupled with both interviews with researchers and local experts, in addition to observations from relevant literature about the possible connections between availability of environmental news with climate change, institutional belief and climate vulnerability data. The local history of resource extraction will also be explored. The point of this thesis is not to prove that a lack of access to strong, locally focused climate and environmental news increases vulnerability to the effects of climate change (although it does raise this as a possibility). Rather, it is to continue a conversation with journalists, media professionals and climate professionals about how to approach understanding and engaging groups left out of the climate conversation and groups who've been traditionally underserved by news media when it comes to climate information and appeals for institutional trust. This conversation is already happening, especially when it comes to the importance of the health of local, community focused news in general in Appalachia, but given the urgency and scale of the climate crisis, merits continuation and some inquiry into environmental news.

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    Details

    Title
    • Communities, News Deserts and Environmental News Ecosystem Health
    Contributors
    Date Created
    2022-12
    Resource Type
  • Text
  • Machine-readable links