Working Paper: CEPR ID: DP18383
Authors: Nicola Mastrorocco; Arianna Ornaghi; Matteo Pograxha; Stephane Wolton
Abstract: Every day, editors of media outlets decide what is news and what is not. In this paper, we unpack the process of news production by looking at the share of newscasts devoted to weather events--- deviations in temperatures from the historical mean---by local TV stations in the United States. We show that not all weather events receive the same attention. Large deviations receive substantially more coverage than typical temperatures, and the greater the deviation, the higher the coverage. We also document the presence of both publication and presentation bias. Even after controlling for station fixed effects, TV stations in Democratic-leaning media markets report more on extreme temperature deviations and are more likely to evoke climate change than outlets in markets with a large Republican audience. We propose a stylised model of news production and consumption with citizens valuing uncommon events and suffering from a form of confirmation bias to explain the empirical patterns we find.
Keywords: local news; climate change; publication bias; presentation bias; editorial strategies
JEL Codes: No JEL codes provided
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
Cause | Effect |
---|---|
extreme deviations from seasonal temperature norms (Q54) | increased news coverage (G14) |
weather event falling in the bottom 1 to 5 percent of deviations in winter (Q54) | increase in coverage (G52) |
events in the top 1 to 5 percent of deviations in summer (C46) | substantial increase in coverage (G52) |
media market ideology (P10) | editorial strategies of local TV stations (L82) |
democratic-leaning markets (D72) | higher propensity to report on extreme deviations (C46) |
large democratic audience (D72) | pronounced increase in coverage for extreme deviations (C46) |
republican audience (D72) | lower propensity to report on extreme deviations (C46) |