Development of a Scale of Narcissism in Social Media and Investigation of Its Psychometric Characteristics
Bibliographic record
Abstract
Narcissism in social media reveals itself differently than in daily social interactions. Therefore, the present study aimed to develop a Scale of Narcissism in Social Media through the lens of the Narcissistic Admiration and Rivalry Model and to investigate its psychometric characteristics. The total sample of the study consisted of 740 participants between 18 and 65 years of age for exploratory and confirmatory factor analysis. The exploratory factor analysis resulted in a 16 item and two-factor structure. The structure of the scale was in accordance with the theoretical framework and therefore factors are named Narcissistic Admiration and Narcissistic Rivalry. The results of the confirmative analysis showed that the fit indices were acceptable. Correlations of the scale with other narcissism scales demonstrated concurrent validity and reliability analysis showed acceptable internal consistency. The results of the study show that the Scale of Narcissism in Social Media is a valid and reliable tool for measurement and data collection.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".