The links between fear of missing out, status-seeking, intrasexual competition, sociosexuality, and social support
Bibliographic record
Abstract
With the surge of social media use in contemporary society, scholars have focused on how feelings of apprehension that one is missing out on important social activities (i.e., fear of missing out [FoMO]) might influence mental health. However, worry surrounding social inclusion is not a contemporary problem, and successfully participating in social events is an important aspect of human evolutionary history. To our knowledge, researchers have yet to frame the phenomenon of FoMO in an evolutionary perspective. In a sample of N = 327 heterosexual American adults (Mage = 36.94, SD = 10.24), we found that FoMO correlated positively with status-striving and intrasexual competitiveness, as well as unrestricted sociosexual behavior and desires. Among females, but not males, FoMO was negatively linked to received social support. Results highlight how adults higher in FoMO express a greater inclination to compete for evolutionarily salient social and reproductive resources and devote more effort toward short-term mating. FoMO may also alert females to the absence of desired social support. Findings provide insight into the utility of an evolutionary approach to studying individual differences in the experience of FoMO, which can aid in gathering a more comprehensive understanding of the construct.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".