ArticleJournal of adolescent and young adult oncology2018
Acquisition of Social Support and Linguistic Characteristics of Social Media Posts About Young Adult Cancer.
Article in Journal of adolescent and young adult oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Understanding Social Media Strategies to Improve Engagement in and Equitable Dissemination of Online Cancer Nutrition Information: Cross-Sectional Study.JMIR cancer · 2026Article
- Misalignment of social support in the social media posts of young adult cancer caregivers.Cancer reports (Hoboken, N.J.) · 2024Article
- Technology-Mediated Support Among Siblings of Children with Cancer.Journal of adolescent and young adult oncology · 2023Article
- Covid-19 and beyond: Broadening horizons about social media use in oncology. A survey study with healthcare professionals caring for youth with cancer.Health policy and technology · 2022Article
- Social support enactments on social media during the first 6 months of young adult cancer caregiving.Journal of cancer survivorship : research and practice · 2022Article
- Public Health Implications of Image-Based Social Media: A Systematic Review of Instagram, Pinterest, Tumblr, and Flickr.The Permanente journal · 2020Review
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Authors and funding
4 authors.
Funding
Abstract
purposeSocial media (SM) is a burgeoning source of social support for young adults (YAs). We explored the language used to communicate about YA cancer on Instagram and for indicators of social support (i.e., number of likes and comments).
methodsInstagram posts using #youngadultcancer were randomly selected (N = 50). Text and hashtags were collected, and posts were coded for gender (female and male), treatment status (active treatment and survivorship), type of user (individual and organization), and caregiver status (yes and no). Indicators of social support, valence (e.g., positive vs. negative terms), and lexical content (e.g., emotional terms and pronouns) were measured using Yoshikoder and Linguistic Inquiry Word Count and compared by gender, treatment status, type of user, and caregiver status.
resultsSurvivors' posts had more likes compared to those in active treatment (mean: 54.5 vs. 32.3, p = 0.03). Individuals' posts had more comments than those of organizations (mean: 5.3 vs. 1.2, p = 0.01). More positive (30%) than negative (13%) terms were used by survivors (p < 0.01) and those in active treatment (20% vs. 9%, p = 0.04). Individuals' used more positive than negative language (p < 0.01), whereas organizations used equally positive and negative terms. Survivors used more emotional terms (79.6% vs. 34.9%, p < 0.01) and fewer pronouns (mean: 39.5 vs. 71.7, p = 0.01) than those in active treatment. Organizations (71.0%) used more emotional terms than individuals (55.9%, p = 0.03).
conclusionsWe describe how Instagram users communicate about YA cancer and whether the language they use garners social support. Studying online language use may help YA patients, caregivers, and organizations use SM to gain social support.
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