Is Conspicuous Consumption Influenced by Cyber-Ostracism? A Moderated Mediation Model
Bibliographic record
Abstract
This study starts from the cyber-ostracism experience that often occurs during social media use. Based on compensatory control theory, we explore the mechanism by which cyber-ostracism affects consumers' conspicuous consumption through the sense of control and also explore the moderating role of social media use intensity and implicit personality. This study used a sample of 407 social media users in China to verify the relationship between variables. The findings show that: there is a significant positive effect of cyber-ostracism on conspicuous consumption; sense of control plays a mediating role in the relationship between cyber-ostracism and conspicuous consumption; social media use intensity negatively moderates the relationship between cyber-ostracism and sense of control, and implicit personality moderates the relationship between sense of control and conspicuous consumption. The findings of the study help to reveal the formation mechanism of social media users' conspicuous consumption, which has important theoretical significance and practical value for establishing correct consumption concepts in the social media context.
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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".