Is Social Media Use Changing Who We Are? Examining the Bidirectional Relationship Between Personality and Social Media Use
Bibliographic record
Abstract
Social media has changed the way we live. It is now so integral to daily life that it is one of the top activities that people spend their time on each day. Given its ubiquity, it is important to understand what kinds of personality traits draw people toward social media and whether social media changes personality. The present study utilizes a longitudinal design with a large nationally representative sample ( N = 11,629) to examine the bidirectional relationship between personality and social media use (SMU). First, cross-lagged analyses revealed a bidirectional relationship between SMU and neuroticism such that neuroticism predicted increased SMU, but SMU also predicted increased neuroticism. However, while increased SMU predicted reduced honesty/humility, honesty/humility did not predict SMU. No other relationships emerged between personality and SMU. This study is the first to examine the extent to which personality both predicts SMU, and is in turn reciprocally shaped by social media exposure in a large-scale national probability panel study.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".