IDEAS home Printed from https://ideas.repec.org/p/ecl/stabus/3490.html
   My bibliography  Save this paper

Capital Market Effects of Media Synthesis and Dissemination: Evidence from Robo-Journalism

Author

Listed:
  • Blankespoor, Elizabeth

    (Stanford University)

  • deHaan, Ed

    (University of WA)

  • Zhu, Christina

    (Stanford University)

Abstract

In 2014, the Associated Press (AP) began using algorithms to write media articles about firms' earnings announcements. These "robo-journalism" articles synthesize information from firms' press releases, analyst reports, and stock performance, and are widely disseminated by major news outlets a few hours after the earnings release. The articles are available for thousands of firms on a quarterly basis, many of which previously received little or no media attention. We use AP's staggered implementation of robo-journalism to examine the effects of media synthesis and dissemination, in a setting where the articles are devoid of private information and are largely exogenous to the firm's earnings news and disclosure choices. We find compelling evidence that automated articles increase firms' trading volume and liquidity. We find no evidence that the articles improve or impede the speed of price discovery. Our study provides novel evidence on the impact of pure synthesis and dissemination of public information in capital markets, and initial insights on the implications of automated journalism for market efficiency.

Suggested Citation

  • Blankespoor, Elizabeth & deHaan, Ed & Zhu, Christina, 2017. "Capital Market Effects of Media Synthesis and Dissemination: Evidence from Robo-Journalism," Research Papers 3490, Stanford University, Graduate School of Business.
  • Handle: RePEc:ecl:stabus:3490
    as

    Download full text from publisher

    File URL: https://www.gsb.stanford.edu/gsb-cmis/gsb-cmis-download-auth/428566
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Frank D. Hodge & Kim I. Mendoza & Roshan K. Sinha, 2021. "The Effect of Humanizing Robo‐Advisors on Investor Judgments," Contemporary Accounting Research, John Wiley & Sons, vol. 38(1), pages 770-792, March.
    2. Lawrence, Alastair & Ryans, James & Sun, Estelle & Laptev, Nikolay, 2018. "Earnings announcement promotions: A Yahoo Finance field experiment," Journal of Accounting and Economics, Elsevier, vol. 66(2), pages 399-414.
    3. Bhardwaj, Arti & Imam, Shahed, 2019. "The tone and readability of the media during the financial crisis: Evidence from pre-IPO media coverage," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 40-48.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ecl:stabus:3490. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/gsstaus.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.