Like-minded, like-bodied: How users (18-26) trust online eating and
health information
- URL: http://arxiv.org/abs/2402.18753v1
- Date: Wed, 28 Feb 2024 23:27:15 GMT
- Title: Like-minded, like-bodied: How users (18-26) trust online eating and
health information
- Authors: Rachel Xu, Nhu Le, Rebekah Park, Laura Murray
- Abstract summary: 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.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- 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.
Related papers
- TikTok Engagement Traces Over Time and Health Risky Behaviors: Combining Data Linkage and Computational Methods [13.061341132181097]
This study investigates how individuals' liked TikTok videos on various health-risk topics are associated with their vaping and drinking behaviors.
A computational analysis of 13,724 health-related videos liked by these respondents from 2020 to 2023 was conducted.
Our findings indicate that users who initially liked drinking-related content on TikTok are inclined to favor more of such videos over time.
arXiv Detail & Related papers (2024-06-23T02:58:30Z) - The Role of Likes: How Online Feedback Impacts Users' Mental Health [1.0156836684627544]
We analyse the impact of receiving online feedback on users' emotional experience, social connectedness and self-esteem.
We find that experiencing little to no reaction from others does not only elicit negative emotions amongst users, but also induces low levels of self-esteem.
In contrast, receiving much positive online feedback, evokes feelings of social connectedness and reduces overall loneliness.
arXiv Detail & Related papers (2023-12-19T07:48:10Z) - Who can help me? Reconstructing users' psychological journeys in
depression-related social media interactions [0.13194391758295113]
We investigate several popular mental health-related Reddit boards about depression.
We reconstruct users' psychological/linguistic profiles together with their social interactions.
Our approach opens the way to data-informed understandings of psychological coping with mental health issues through social media.
arXiv Detail & Related papers (2023-11-29T14:45:11Z) - Understanding How People with Binge Eating Disorder and Bulimia Interact
with Digital Food Content [4.896060424238131]
We conducted two studies with individuals with binge eating disorder (BED) or bulimia nervosa (BN)
Our study reveals that individuals with BED and BN anticipate positive effects from food media to overcome their condition, but in practice, it often exacerbates their disorder.
We articulate design implications for digital food content and multimedia platforms to support vulnerable individuals in everyday online platform interactions.
arXiv Detail & Related papers (2023-11-10T08:09:42Z) - A Comprehensive Picture of Factors Affecting User Willingness to Use
Mobile Health Applications [62.60524178293434]
The aim of this paper is to investigate the factors that influence user acceptance of mHealth apps.
Users' digital literacy has the strongest impact on their willingness to use them, followed by their online habit of sharing personal information.
Users' demographic background, such as their country of residence, age, ethnicity, and education, has a significant moderating effect.
arXiv Detail & Related papers (2023-05-10T08:11:21Z) - Cultural Differences in Friendship Network Behaviors: A Snapchat Case
Study [0.0]
We analyzed the friendship networks and dyadic relations between content producers and consumers across 73 countries.
We studied three theoretical frameworks of culture - individualism, relational mobility, and tightness.
Our work has implications for content recommendations and can improve content engagement.
arXiv Detail & Related papers (2023-01-29T22:44:54Z) - Adherence to Misinformation on Social Media Through Socio-Cognitive and
Group-Based Processes [79.79659145328856]
We argue that when misinformation proliferates, this happens because the social media environment enables adherence to misinformation.
We make the case that polarization and misinformation adherence are closely tied.
arXiv Detail & Related papers (2022-06-30T12:34:24Z) - "COVID-19 was a FIFA conspiracy #curropt": An Investigation into the
Viral Spread of COVID-19 Misinformation [60.268682953952506]
We estimate the extent to which misinformation has influenced the course of the COVID-19 pandemic using natural language processing models.
We provide a strategy to combat social media posts that are likely to cause widespread harm.
arXiv Detail & Related papers (2022-06-12T19:41:01Z) - News consumption and social media regulations policy [70.31753171707005]
We analyze two social media that enforced opposite moderation methods, Twitter and Gab, to assess the interplay between news consumption and content regulation.
Our results show that the presence of moderation pursued by Twitter produces a significant reduction of questionable content.
The lack of clear regulation on Gab results in the tendency of the user to engage with both types of content, showing a slight preference for the questionable ones which may account for a dissing/endorsement behavior.
arXiv Detail & Related papers (2021-06-07T19:26:32Z) - Causal Understanding of Fake News Dissemination on Social Media [50.4854427067898]
We argue that it is critical to understand what user attributes potentially cause users to share fake news.
In fake news dissemination, confounders can be characterized by fake news sharing behavior that inherently relates to user attributes and online activities.
We propose a principled approach to alleviating selection bias in fake news dissemination.
arXiv Detail & Related papers (2020-10-20T19:37:04Z) - Assessing the Severity of Health States based on Social Media Posts [62.52087340582502]
We propose a multiview learning framework that models both the textual content as well as contextual-information to assess the severity of the user's health state.
The diverse NLU views demonstrate its effectiveness on both the tasks and as well as on the individual disease to assess a user's health.
arXiv Detail & Related papers (2020-09-21T03:45:14Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.