Open Access Te Herenga Waka-Victoria University of Wellington
Browse

Persuasive bodies: Testimonies of deep brain stimulation and Parkinson's on YouTube

Download (245.15 kB)
journal contribution
posted on 2020-06-25, 01:33 authored by Courtney AddisonCourtney Addison, John Gardner, Narelle Warren, Gabby Samuel
© 2018 Elsevier Ltd Contemporary publics actively engage with diverse forms of media when seeking health-related information. The hugely popular digital media platform YouTube has become one means by which people share their experiences of healthcare. In this paper, we examine amateur YouTube videos featuring people receiving Deep Brain Stimulation (DBS) for the treatment of Parkinson's disease. DBS has become a widely implemented treatment, and it is surrounded by high expectations that can create difficulty for clinicians, patients and their families. We examine how DBS, Parkinson's disease, and DBS recipients themselves, are delineated within these YouTube videos. The videos, we demonstrate, contain common compositional and stylistic elements that collectively represent DBS as a technological fix, and which accentuate the autonomy of the DBS recipient. The relational, interpersonal dimensions of chronic illness, and the complex impact of DBS on family dynamics, are elided. We therefore shed light on the means by which high expectations regarding DBS are sustained and circulated, and more generally, we illustrate how potentially powerful representations of medical technologies can emerge from the intersection of social media platforms, afflicted bodies and patient narratives.

History

Preferred citation

Gardner, J., Warren, N., Addison, C. & Samuel, G. (2019). Persuasive bodies: Testimonies of deep brain stimulation and Parkinson's on YouTube. Social Science and Medicine, 222, 44-51. https://doi.org/10.1016/j.socscimed.2018.12.036

Journal title

Social Science and Medicine

Volume

222

Publication date

2019-02-01

Pagination

44-51

Publisher

Elsevier Ltd.

Publication status

Published

Contribution type

Article

Online publication date

2019-01-01

ISSN

0277-9536

eISSN

1873-5347

Language

en

Usage metrics

    Journal articles

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC