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Too hot to play it cool? Temperature and media bias

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  • Stadelmann, David
  • Thomas, Tobias
  • Zakharov, Nikita

Abstract

This paper examines the impact of outdoor temperature on media bias. We use 12 years of daily hand-coded data on the tonality of news broadcast by the three major US news networks, ABC News, CBS News, and NBC News, all headquartered in New York City, and merge it with granular, geospatial weather data. Our identification strategy exploits detailed variations in local daily high temperatures to estimate the effect of heat on media bias in news reporting about the Republican and Democratic parties, controlling for time and network-month fixed effects. We find a positive effect of a substantial magnitude: a 1êC increment in daily maximum temperature on a hot day (>25êC) leads to a 20% increase in the media bias measured as the difference in the share of negative news about the Republicans and the Democrats. This effect exists only for maximum temperatures, as opposed to minimum or average temperatures. The results are robust to placebo tests using past or future temperatures. Our findings extend the previously established link - from hot temperatures to negative affect and a decline in cognitive ability - to the determinants of media bias.

Suggested Citation

  • Stadelmann, David & Thomas, Tobias & Zakharov, Nikita, 2023. "Too hot to play it cool? Temperature and media bias," DICE Discussion Papers 408, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    • Handle: RePEc:zbw:dicedp:279887
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    References listed on IDEAS

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    1. Larcinese, Valentino & Puglisi, Riccardo & Snyder Jr., James M., 2011. "Partisan bias in economic news: Evidence on the agenda-setting behavior of U.S. newspapers," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1178-1189, October.
    2. Bernhardt, Dan & Krasa, Stefan & Polborn, Mattias, 2008. "Political polarization and the electoral effects of media bias," Journal of Public Economics, Elsevier, vol. 92(5-6), pages 1092-1104, June.
    3. Gehlbach, Scott & Sonin, Konstantin, 2014. "Government control of the media," Journal of Public Economics, Elsevier, vol. 118(C), pages 163-171.
    4. Heilmann, Kilian & Kahn, Matthew E. & Tang, Cheng Keat, 2021. "The urban crime and heat gradient in high and low poverty areas," Journal of Public Economics, Elsevier, vol. 197(C).
    5. Anthony Heyes & Soodeh Saberian, 2019. "Temperature and Decisions: Evidence from 207,000 Court Cases," American Economic Journal: Applied Economics, American Economic Association, vol. 11(2), pages 238-265, April.
    6. Tim Groseclose & Jeffrey Milyo, 2005. "A Measure of Media Bias," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(4), pages 1191-1237.
    7. Clemens Noelke & Mark E. McGovern & Daniel J. Corsi & Marcia Pescador-Jimenez & Ari Stern & Ian Sue Wing & Lisa Berkman, 2016. "Increasing Ambient Temperature Reduces Emotional Well-Being," CHaRMS Working Papers 16-01, Centre for HeAlth Research at the Management School (CHaRMS).
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    More about this item

    Keywords

    media bias; tonality; temperature; U.S. newscasts;
    All these keywords.

    JEL classification:

    • L8 - Industrial Organization - - Industry Studies: Services
    • D7 - Microeconomics - - Analysis of Collective Decision-Making

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