IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/gz7bw.html
   My bibliography  Save this paper

Communicating corporate LGBTQ advocacy: A computational comparison of the global CSR discourse

Author

Listed:
  • Zhou, Alvin

    (University of Pennsylvania)

Abstract

Corporations are increasingly engaging in political and social issues through corporate social responsibility (CSR) initiatives, in contentious areas such as lesbian, gay, bisexual, transgender, queer (LGBTQ) advocacy. This article systematically, comparatively, and computationally examines this intersection, and contributes to the literature by 1) examining the global LGBTQ CSR discourse constructed by Fortune Global 500 companies (136,820 words) with semantic network analysis and structural topic modeling, 2) surveying non-profit organizations’ guidelines and comparing corporate values with them, and 3) exploring how stakeholder expectations and institutional factors influence CSR communication. Results indicate 6 corporate topics and 9 non-profit topics, which were explicated by referencing organizations’ original writing. It is further shown that stakeholder expectations and institutional factors not only affect whether organizations report LGBTQ efforts, but also affect what topics these companies highlight in their CSR communication. Companies in democratic countries with substantial stakeholder expectations emphasize areas that need high investment and exceed legal obligations.

Suggested Citation

  • Zhou, Alvin, 2020. "Communicating corporate LGBTQ advocacy: A computational comparison of the global CSR discourse," OSF Preprints gz7bw, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:gz7bw
    DOI: 10.31219/osf.io/gz7bw
    as

    Download full text from publisher

    File URL: https://osf.io/download/5f98d1a5b1ea1702e2c97604/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/gz7bw?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

    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:osf:osfxxx:gz7bw. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.