Online Prosocial Behaviour Predicts Well-Being in Different Cultures: A Daily Diary Study of Facebook Users
Bibliographic record
Abstract
Almost two billion people use Facebook every day, but relatively few studies have examined the ways that culture shapes its use, and in turn, its associations with well-being. Our 1-week daily diary study sought to extend this literature by comparing prosocial uses of Facebook in a collectivist culture, Thailand ( N = 169), and in an individualist culture, Canada ( N = 131). We found that, relative to Thais, Canadians more frequently engaged in knowledge-sharing prosocial Facebook behaviour (i.e., providing useful information to Facebook friends), which was mediated by their more independent self-construal, stronger motivation to use Facebook for spreading information, and weaker motivation to use it for belongingness. Only Canadians reported higher life satisfaction on days they engaged in more prosocial knowledge-sharing. However, Thais and Canadians were equally likely to engage in emotionally-supportive prosocial Facebook behavior, which was associated with higher positive affect and life satisfaction in both groups.
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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 | 0.002 | 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 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".