Journalism and Media (Apr 2023)
What Makes for Robust Local News Provision? Structural Correlates of Local News Coverage for an Entire U.S. State, and Mapping Local News Using a New Method
Abstract
This research addresses current gaps in knowledge about local news provision: it considers the method for best understanding the robustness of a local news ecosystem, and it identifies the structural features of a community that are correlated with its level of local news provision. Most local news assessments to date have used the geographic location of the news provider as a proxy for coverage; here, I use (self-reported) coverage area as the marker of local news provision, allowing a more accurate representation of the communities being served. I find that median household income, population density, and the percentage of the population that is Hispanic are positively correlated with the number of outlets that cover a municipality, and are therefore significant indicators of local news provision. I further identify certain local news providers as “local news originators,” and map the number of LNOs for the 565 municipalities that make up the state of New Jersey, making this the first study to map local news provision at this level of detail for an entire state.
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