IDEAS home Printed from https://ideas.repec.org/a/wly/ijfiec/v29y2024i2p1745-1761.html
   My bibliography  Save this article

Corporate social responsibility disclosure on Twitter: Signalling or greenwashing? Evidence from the UK

Author

Listed:
  • Marian H. Amin
  • Heba Ali
  • Ehab K. A. Mohamed

Abstract

This study aims at exploring and investigating whether disclosure of corporate social responsibility (CSR) on Twitter signals true CSR performance or merely is a greenwashing tool to conceal and compensate for inferior CSR performance. Based on a sample of 167,908 tweets posted by the constituents of the FTSE 350 Index, topic modelling—a natural language processing technique based on unsupervised learning—is utilized to identify CSR disclosure on social media. Our empirical evidence based on several regression models shows association between firms' CSR performance and disclosure, which supports the signalling story, and hence, casts doubt on the greenwashing behaviour among UK firms on social media. Our findings suggest several implications for researchers, shareholders, and practitioners as the relation between CSR disclosure on influential, widely reached platforms such as social media and CSR performance carries important indications about the credibility of the content of such disclosure, the extent to which it reflects actual CSR performance, and hence its usefulness for all stakeholders interested in CSR. The true motive behind CSR disclosures can greatly influence how stakeholders perceive such information and the extent to which they can rely on it for decision making purposes.

Suggested Citation

  • Marian H. Amin & Heba Ali & Ehab K. A. Mohamed, 2024. "Corporate social responsibility disclosure on Twitter: Signalling or greenwashing? Evidence from the UK," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1745-1761, April.
  • Handle: RePEc:wly:ijfiec:v:29:y:2024:i:2:p:1745-1761
    DOI: 10.1002/ijfe.2762
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/ijfe.2762
    Download Restriction: no

    File URL: https://libkey.io/10.1002/ijfe.2762?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    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:wly:ijfiec:v:29:y:2024:i:2:p:1745-1761. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/1076-9307/ .

    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.