IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/28110.html
   My bibliography  Save this paper

Why Is All COVID-19 News Bad News?

Author

Listed:
  • Bruce Sacerdote
  • Ranjan Sehgal
  • Molly Cook

Abstract

We analyze the tone of COVID-19 related English-language news articles written since January 1, 2020. Ninety one percent of stories by U.S. major media outlets are negative in tone versus fifty four percent for non-U.S. major sources and sixty five percent for scientific journals. The negativity of the U.S. major media is notable even in areas with positive scientific developments including school re-openings and vaccine trials. Media negativity is unresponsive to changing trends in new COVID-19 cases or the political leanings of the audience. U.S. major media readers strongly prefer negative stories about COVID-19, and negative stories in general. Stories of increasing COVID-19 cases outnumber stories of decreasing cases by a factor of 5.5 even during periods when new cases are declining. Among U.S. major media outlets, stories discussing President Donald Trump and hydroxychloroquine are more numerous than all stories combined that cover companies and individual researchers working on COVID-19 vaccines.

Suggested Citation

  • Bruce Sacerdote & Ranjan Sehgal & Molly Cook, 2020. "Why Is All COVID-19 News Bad News?," NBER Working Papers 28110, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:28110
    Note: EH LS POL
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w28110.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Puglisi Riccardo, 2011. "Being The New York Times: the Political Behaviour of a Newspaper," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-34, April.
    2. 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.
    3. Thiemo Fetzer & Lukas Hensel & Johannes Hermle & Christopher Roth, 2021. "Coronavirus Perceptions and Economic Anxiety," The Review of Economics and Statistics, MIT Press, vol. 103(5), pages 968–978-9, December.
    4. Edward L. Glaeser & Claudia Goldin, 2006. "Corruption and Reform: Lessons from America's Economic History," NBER Books, National Bureau of Economic Research, Inc, number glae06-1, May.
    5. Gregory J. Martin & Ali Yurukoglu, 2017. "Bias in Cable News: Persuasion and Polarization," American Economic Review, American Economic Association, vol. 107(9), pages 2565-2599, September.
    6. Matthew Gentzkow & Bryan Kelly & Matt Taddy, 2019. "Text as Data," Journal of Economic Literature, American Economic Association, vol. 57(3), pages 535-574, September.
    7. Stefano DellaVigna & Eliana La Ferrara, 2015. "Economic and Social Impacts of the Media," NBER Working Papers 21360, National Bureau of Economic Research, Inc.
    8. 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.
    9. Matthew Gentzkow & Jesse M. Shapiro, 2010. "What Drives Media Slant? Evidence From U.S. Daily Newspapers," Econometrica, Econometric Society, vol. 78(1), pages 35-71, January.
    10. Bursztyn, Leonardo & Rao, Akaash & Roth, Christopher & Yanagizawa-Drott, David, 2020. "Misinformation during a Pandemic," The Warwick Economics Research Paper Series (TWERPS) 1274, University of Warwick, Department of Economics.
    11. Grimmer, Justin & Stewart, Brandon M., 2013. "Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts," Political Analysis, Cambridge University Press, vol. 21(3), pages 267-297, July.
    12. Matthew Gentzkow & Edward L. Glaeser & Claudia Goldin, 2006. "The Rise of the Fourth Estate. How Newspapers Became Informative and Why It Mattered," NBER Chapters, in: Corruption and Reform: Lessons from America's Economic History, pages 187-230, National Bureau of Economic Research, Inc.
    13. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    14. Werner Antweiler & Murray Z. Frank, 2004. "Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards," Journal of Finance, American Finance Association, vol. 59(3), pages 1259-1294, June.
    15. Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
    16. Ash, Elliott & Galletta, Sergio & Hangartner, Dominik & Margalit, Yotam & Pinna, Matteo, 2020. "The Effect of Fox News on Health Behavior During COVID-19," SocArXiv abqe5, Center for Open Science.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Philipp Bagus & José Antonio Peña-Ramos & Antonio Sánchez-Bayón, 2021. "COVID-19 and the Political Economy of Mass Hysteria," IJERPH, MDPI, vol. 18(4), pages 1-15, February.
    2. Gabriella Y. Meltzer & Virginia W. Chang & Sarah A. Lieff & Margaux M. Grivel & Lawrence H. Yang & Don C. Des Jarlais, 2021. "Behavioral Correlates of COVID-19 Worry: Stigma, Knowledge, and News Source," IJERPH, MDPI, vol. 18(21), pages 1-15, October.
    3. Cao, Andy & Lindo, Jason M. & Zhong, Jiee, 2023. "Can social media rhetoric incite hate incidents? Evidence from Trump's “Chinese Virus” tweets," Journal of Urban Economics, Elsevier, vol. 137(C).
    4. Aassve,Arnstein & Capezzone,Tommaso & Cavalli,Nicolo’ & Conzo,Pierluigi & Peng,Chen, 2022. "Trust in the time of coronavirus: longitudinal evidence from the United States," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202203, University of Turin.
    5. Andersson, Ola & Campos-Mercade, Pol & Meier, Armando N. & Wengström, Erik, 2021. "Anticipation of COVID-19 vaccines reduces willingness to socially distance," Journal of Health Economics, Elsevier, vol. 80(C).
    6. Peter Boettke & Benjamin Powell, 2021. "The political economy of the COVID‐19 pandemic," Southern Economic Journal, John Wiley & Sons, vol. 87(4), pages 1090-1106, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jacopo Perego & Sevgi Yuksel, 2022. "Media Competition and Social Disagreement," Econometrica, Econometric Society, vol. 90(1), pages 223-265, January.
    2. Riccardo Puglisi & James M. Snyder, Jr., 2008. "Media Coverage of Political Scandals," NBER Working Papers 14598, National Bureau of Economic Research, Inc.
    3. Matthew Gentzkow & Bryan T. Kelly & Matt Taddy, 2017. "Text as Data," NBER Working Papers 23276, National Bureau of Economic Research, Inc.
    4. Bernhardt, Lea & Dewenter, Ralf & Thomas, Tobias, 2020. "Measuring partisan media bias in US Newscasts from 2001-2012," Working Paper 183/2020, Helmut Schmidt University, Hamburg, revised 15 Nov 2022.
    5. Bernhardt, Lea & Dewenter, Ralf & Thomas, Tobias, 2023. "Measuring partisan media bias in US newscasts from 2001 to 2012," European Journal of Political Economy, Elsevier, vol. 78(C).
    6. Larcinese, Valentino & Puglisi, Riccardo & Snyder, 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), pages 1178-1189.
    7. Aprigliano, Valentina & Emiliozzi, Simone & Guaitoli, Gabriele & Luciani, Andrea & Marcucci, Juri & Monteforte, Libero, 2023. "The power of text-based indicators in forecasting Italian economic activity," International Journal of Forecasting, Elsevier, vol. 39(2), pages 791-808.
    8. Petrova, Maria, 2012. "Mass media and special interest groups," Journal of Economic Behavior & Organization, Elsevier, vol. 84(1), pages 17-38.
    9. Strömberg, David & Prat, Andrea, 2011. "The Political Economy of Mass Media," CEPR Discussion Papers 8246, C.E.P.R. Discussion Papers.
    10. Bernhardt, Lea & Dewenter, Ralf & Thomas, Tobias, 2020. "Watchdog or loyal servant? Political media bias in US newscasts," DICE Discussion Papers 348, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    11. Gambaro, Marco & Puglisi, Riccardo, 2015. "What do ads buy? Daily coverage of listed companies on the Italian press," European Journal of Political Economy, Elsevier, vol. 39(C), pages 41-57.
    12. Ralf Dewenter & Uwe Dulleck & Tobias Thomas, 2020. "Does the 4th estate deliver? The Political Coverage Index and its application to media capture," Constitutional Political Economy, Springer, vol. 31(3), pages 292-328, September.
    13. Andres Algaba & David Ardia & Keven Bluteau & Samuel Borms & Kris Boudt, 2020. "Econometrics Meets Sentiment: An Overview Of Methodology And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 34(3), pages 512-547, July.
    14. Bennani, Hamza, 2018. "Media coverage and ECB policy-making: Evidence from an augmented Taylor rule," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 26-38.
    15. Giovanni Facchini & Anna Maria Mayda & Riccardo Puglisi, 2017. "Illegal immigration and media exposure: evidence on individual attitudes," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-36, December.
    16. John Duggan & César Martinelli, 2008. "The Role of Media Slant in Elections and Economics," Wallis Working Papers WP54, University of Rochester - Wallis Institute of Political Economy.
    17. Gómez-Cram, Roberto & Grotteria, Marco, 2022. "Real-time price discovery via verbal communication: Method and application to Fedspeak," Journal of Financial Economics, Elsevier, vol. 143(3), pages 993-1025.
    18. Ruben Durante & Brian Knight, 2012. "Partisan Control, Media Bias, And Viewer Responses: Evidence From Berlusconi'S Italy," Journal of the European Economic Association, European Economic Association, vol. 10(3), pages 451-481, May.
    19. Rafael Di Tella & Ignacio Franceschelli, 2011. "Government Advertising and Media Coverage of Corruption Scandals," American Economic Journal: Applied Economics, American Economic Association, vol. 3(4), pages 119-151, October.
    20. Friebel, Guido & Heinz, Matthias, 2014. "Media slant against foreign owners: Downsizing," Journal of Public Economics, Elsevier, vol. 120(C), pages 97-106.

    More about this item

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:28110. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.