IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/yp2jv_v1.html
   My bibliography  Save this paper

When Face Masks Signal Social Identity: Explaining the Deep Face-Mask Divide During the COVID-19 Pandemic

Author

Listed:
  • Powdthavee, Nattavudh
  • Riyanto, Yohanes Eko
  • Wong, Erwin C. L.
  • Xiong-Wei, Jonathan Yeo

    (Nanyang Technological University)

  • Qi-Yu, Chan

Abstract

With the COVID-19 pandemic still raging and the vaccination program still rolling out, there continues to be an immediate need for public health officials to better understand the mechanisms behind the deep and perpetual divide over face masks in America. Using a random sample of Americans (N=615), following a pre-registered experimental design and analytic plan, we first demonstrated that mask wearers were not innately more cooperative as individuals than non-mask wearers in the Prisoners’ Dilemma (PD) game when information about their own and the other person’s mask usage was not salient. However, we found strong, revealed preference evidence of in-group favoritism among both mask and non-mask wearers when information about the other partner’s mask usage was known. Holding other things constant, non-mask wearers were 23 percentage points less likely to cooperate than mask wearers when facing a mask-wearing partner, and 26 percentage points more likely to cooperate than mask wearers when facing a non-mask wearing partner. Our analysis suggests social identity effects to be one of the main drivers of people’s decision whether to wear or shun face masks during the pandemic. Policy makers should therefore take social perception of face masks into account when designing not only what public messages to deliver, but also who to deliver these messages.

Suggested Citation

  • Powdthavee, Nattavudh & Riyanto, Yohanes Eko & Wong, Erwin C. L. & Xiong-Wei, Jonathan Yeo & Qi-Yu, Chan, 2021. "When Face Masks Signal Social Identity: Explaining the Deep Face-Mask Divide During the COVID-19 Pandemic," OSF Preprints yp2jv_v1, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:yp2jv_v1
    DOI: 10.31219/osf.io/yp2jv_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/6071c23951f7ae0410f52e81/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/yp2jv_v1?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:osf:osfxxx:yp2jv_v1. 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.