What is Newsworthy? Theory and Evidence
We introduce a model in which a benevolent news outlet decides whether to report the realization of a state to a consumer, who pays a cost to receive it. A simple statistical rule, called a proper scoring rule, describes when the outlet should be more likely to report the realization. Using data from the US television news, we show that a particular scoring rule successfully predicts many salient features of news reporting. We show how to use this rule as a control variable to discipline tests of reporting bias, and we show that controlling for it matters in our applications.
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Copy CitationLuis Armona, Matthew Gentzkow, Emir Kamenica, and Jesse M. Shapiro, "What is Newsworthy? Theory and Evidence," NBER Working Paper 32512 (2024), https://doi.org/10.3386/w32512.Download Citation
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Published Versions
Luis Armona & Matthew Gentzkow & Emir Kamenica & Jesse M. Shapiro, 2026. "What Is Newsworthy? Theory and Evidence," American Economic Review: Insights, vol 8(3), pages 354-373.