An Exploration of Social Media Users’ Desires to Become Social Media Influencers
Bibliographic record
Abstract
With increased social media (SM) use, users are becoming frequently more exposed to SM influencers. This study aimed to explore SM influencer aspirations among young adults, specifically investigating the desire and rationale to become a SM influencer. Moreover, aspirations of becoming a SM influencer were explored by perceptions of SM influencers and SM use. The sample included 769 young Canadians (aged 16–30) who were mainly women ( n = 599, 79%). Overall, 29 (4%) participants considered themselves to be SM influencers, whereas 579 (75%) participants reported that they wanted to ( maybe or yes) become a SM influencer. The top three reasons for wanting to be an influencer were money, the opportunity to try new products or services, and it’s fun work. In addition, having certain perceptions of SM influencers (e.g., knowing an influencer, or having been influenced) significantly predicted the desire to be a SM influencer ( p < 0.001). Moreover, certain SM usage patterns (e.g., time spent on SM) significantly predicted the desire to be a SM influencer ( p < 0.001). These findings could help researchers understand the impact of SM influencers on their followers and the potential reasons why SM users aspire to become SM influencers themselves.
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How this classification was reachedexpand
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".