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Record W4288077462 · doi:10.1111/joca.12476

Social media and mindfulness: From the fear of missing out (<scp>FOMO</scp>) to the joy of missing out (<scp>JOMO</scp>)

2022· article· en· W4288077462 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Consumer Affairs · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsOntario Tech UniversityToronto Metropolitan UniversityTed Rogers Centre for Heart Research
Fundersnot available
KeywordsMindfulnessSocial mediaPsychologyHabitSocial psychologyAdvertisingComputer sciencePsychotherapistBusiness

Abstract

fetched live from OpenAlex

Abstract Mindless use of social media may lead to negative mental health outcomes for consumers. In this research, the authors focus on the fear of missing out (FOMO) as a key determinant of those negative outcomes by illustrating how repeated social media use forms a habit loop termed “social media FOMO.” The authors introduce a “Social Media FOMO to JOMO” framework, where they describe how mindless use can lead to social media FOMO and propose a novel Social Media Mindfulness Practice (SMMP) as a remedy to help consumers reduce FOMO and adopt a path called the joy of missing out (JOMO) that provides greater well‐being. Based on the “Social Media FOMO to JOMO” framework and the SMMP, the authors suggest future research and highlight implications for consumers, marketers, and policy makers to promote more mindful social media use.

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.

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)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.248
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.304
Teacher spread0.273 · 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