Like-minded, like-bodied: How users (18-26) trust online eating and health information
Clicks: 95
ID: 282366
2024
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
28.2
/100
95 views
34 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #175 of 803 articles by views in arXiv
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 803 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
This paper investigates the relationship between social media and eating
practices amongst 42 internet users aged 18-26. We conducted an ethnography in
the US and India to observe how they navigated eating and health information
online. We found that participants portrayed themselves online through a
vocabulary we have labeled "the good life": performing holistic health by
displaying a socially-ideal body. In doing so, participants unconsciously
engaged in behaviors of disordered eating while actively eschewing them. They
also valued personal testimonies, and readily tested tips from content creators
who shared similar beliefs and bodies to them. In doing so, they discarded
probabilistic thinking and opened themselves to harm. Our study found that
their social media feeds did not unidirectionally influence participants - they
also reflected participants' internalized views of health, in an intertwined,
non-linear journey. Reducing the online spread of disordered eating practices
requires addressing it within young people's social context.
| Reference Key |
murray2024likeminded
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Rachel Xu; Nhu Le; Rebekah Park; Laura Murray |
| Journal | arXiv |
| Year | 2024 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.