The Moderating Role of Social Media Platforms on Self-Esteem and Life Satisfaction: A Case Study of YouTube and Instagram
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.
Bibliographic record
Abstract
Social media use has become increasingly prolific in modern society, and, as a by-product, so too have the negative implications of excessive social media use. Although there exists a robust body of research on social media use and its subsequent association with social media addiction, life satisfaction and selfesteem, few studies have examined how the social media medium (i.e., the social media platform itself) may influence users distinctively. This study explores how medium differences on the social media platforms, Instagram and YouTube, may result in different media effects for social media users. It is expected that engaging with YouTube may increase users’ self-esteem and life satisfaction or that preexposure and post-exposure measures will remain constant. However, it is predicted that engaging with Instagram will decrease self-esteem and measures of life-satisfaction post-exposure. Findings of this study can be widely applied in modern business practice.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it