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Record W3153705816 · doi:10.2196/26207

Young Sexual Minority Adolescent Experiences of Self-expression and Isolation on Social Media: Cross-sectional Survey Study

2021· article· en· W3153705816 on OpenAlexvenueno aff
Linda Charmaraman, Rachel Hodes, Amanda M. Richer

Bibliographic record

VenueJMIR Mental Health · 2021
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Child Health and Human DevelopmentNational Institutes of HealthWellesley College
KeywordsLonelinessPsychologySexual minoritySexual orientationHuman sexualityDevelopmental psychologySocial mediaAffect (linguistics)Exploratory researchCross-sectional studySocial psychologyClinical psychologyMedicineGender studiesPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Early adolescent years are marked by pervasive self- and peer-regulation regarding gender and sexuality norms, which can affect the mental well-being of sexual minority youth. During this developmental period, social media use is also emerging as a dominant mode of communication with peers, allowing for both risk and resilient behaviors that can impact well-being. OBJECTIVE: This exploratory study aims to examine how sexual minorities in middle school use social media, who they are connected to and for what purposes, and the associations between these behaviors and mental well-being compared with their heterosexual peers. METHODS: In our cross-sectional survey study of 1033 early adolescents aged between 10 and 16 years (average age 12.7, SD 1.21 years) from 4 middle school sites in the Northeastern United States, we conducted an exploratory study comparing sexual minorities (212/873, 24.3% of sample with known sexual orientation) with their heterosexual peers (n=661), obtaining an 84.46% (1033/1223; total possible) response rate. RESULTS: Sexual minorities reported having smaller networks on their favorite social media website (β=-.57; P<.001), less often responded positively when friends shared good news (β=-.35; P=.002), and less often tried to make friends feel better when they shared bad news (β=-.30; P=.01). However, sexual minorities more often reported joining a group or web-based community to make themselves feel less alone (β=.28; P=.003), unlike heterosexual youth. Sexual minorities had higher averages of loneliness and social isolation (β=.19; P<.001) than heterosexual students. Sexual minorities were also twice as likely to have tried to harm themselves in the past (β=.81; odds ratio [OR] 2.24, 95% CI 1.64-3.06; P<.001) and were more likely to have symptoms that reached the Center for Epidemiological Studies-Depression definition of depression (β=.15; OR 1.16, 95% CI 1.08-1.25; P<.001). About 39.1% (83/212) of sexual minorities had no one to talk to about their sexual orientation. Sexual minorities were 1.5 times more likely to have joined a social media website their parents would disapprove (β=.41; OR 1.50, 95% CI 1.14-1.97; P=.004) and more likely to report seeing videos related to self-harm (β=.33; OR 1.39, 95% CI 1.06-1.83; P=.02) on the web than heterosexual youth. CONCLUSIONS: Given previous reports of supportive and safe web-based spaces for sexual minority youth, our findings demonstrated that sexual minority youth prefer to maintain small, close-knit web-based communities (apart from their families) to express themselves, particularly when reaching out to web-based communities to reduce loneliness. Future longitudinal studies could determine any bidirectional influences of mental well-being and social media use in sexual minorities during this difficult developmental period.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.665

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.078
GPT teacher head0.451
Teacher spread0.373 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations41
Published2021
Admission routes1
Has abstractyes

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