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Measuring Media’s Ecological Effects

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  • QIN, Abby Youran

Abstract

While media effects on individuals have been extensively studied, media effects on places are mainly examined by research on global media systems. We still lack a nuanced understanding of media’s ecological functions in more fine-grained geographical units. Answering such questions requires a shift in focus from individuals to ecologies/places, and accordingly, a methodological transition from traditional analyses to spatial analyses. In this chapter, I provide an example of spatial analysis in journalism research by studying whether local news ecologies influence non-institutional political engagement in the U.S. First, I explain and demonstrate the differences of three spatial autoregressive models – Spatial Lag of X, Spatial Lag of Y, and Spatial Durbin – in estimating the general relationships between ecological factors and political engagement. Then, I use geographically weighted regression to reveal how these relationships differ from place to place. Overall, news-rich places tend to see a higher volume of non-institutional political engagement, and the pattern applies to most parts of the U.S. except the Great Plains.

Suggested Citation

  • QIN, Abby Youran, 2024. "Measuring Media’s Ecological Effects," OSF Preprints karxm_v1, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:karxm_v1
    DOI: 10.31219/osf.io/karxm_v1
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    References listed on IDEAS

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    1. Paul Voss, 2007. "Demography as a Spatial Social Science," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(5), pages 457-476, December.
    2. Gao, Pengjie & Lee, Chang & Murphy, Dermot, 2020. "Financing dies in darkness? The impact of newspaper closures on public finance," Journal of Financial Economics, Elsevier, vol. 135(2), pages 445-467.
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