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Record W2782169429 · doi:10.5817/cp2017-4-2

Exploring how social networking sites impact youth with anxiety: A qualitative study of Facebook stressors among adolescents with an anxiety disorder diagnosis

2017· article· en· W2782169429 on OpenAlexaff
Olivia G. Calancie, Lexi Ewing, Laura D. Narducci, Salinda Horgan, Sarosh Khalid‐Khan

Bibliographic record

VenueCyberpsychology Journal of Psychosocial Research on Cyberspace · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsQueen's University
Fundersnot available
KeywordsPsychologyAnxietyFeelingStressorSocial anxietyRuminationNarrativeInterpersonal communicationSocial mediaSocial psychologyClinical psychologyPsychiatryCognition

Abstract

fetched live from OpenAlex

Adolescents with anxiety disorders often have low self-esteem, poor problem-solving, and a strong desire to be accepted. Combined, these qualities may predispose them to experience unique stressors when using social network sites (SNSs). Focus groups of adolescent Facebook users who have a primary anxiety diagnosis uncovered narratives describing individuals’ perspectives related to how Facebook can influence their anxiety. Qualitative analysis revealed six themes related to Facebook stressors: seeking approval, fearing judgment, escalating interpersonal issues, wanting privacy, negotiating self and social identity, and connecting & disconnecting. Many participants reported a fear of receiving negative comments online and discussed strategies to avoid them, such as posting less content (i.e., comments, photographs) than their peers. Some participants described feeling positive emotions when they received a “like” from a SNS user, however, they also tended to describe these positive emotions as “false”, “unreal” and “fleeting.” Notably, many participants reported comparing themselves to peers on Facebook, which increased feelings of anxiety, as well as compulsive checking behaviours, such as monitoring posted content and friend lists. These findings were coupled with discussions surrounding rumination, privacy, and elevated personal conflict due in part to the public nature of Facebook. The narratives from our exploratory study suggest there are various mechanisms through which Facebook may exacerbate anxiety in adolescents who have pre-existing anxiety disorders and thereby may make them vulnerable to negative online experiences. Understanding the underlying themes of this phenomenon can aid clinicians, school staff, and parents in identifying potential stressors for anxious adolescents who use SNSs, and provide strategies around social media use for this specific patient population. Future quantitative studies are recommended to further understand the relationships between Facebook stressors and expressed anxiety in clinical populations.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.255
GPT teacher head0.494
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations58
Published2017
Admission routes1
Has abstractyes

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