The dual impact of social media on Asian Americans’ racial identity and resilience during the COVID-19 pandemic
Bibliographic record
Abstract
Based on social identity theory and the resilience literature, this study explored the ways social media impacted Asian Americans’ emotional well-being, racial identity negotiation, and coping strategies amid the surge in anti-Asian discourses during the Covid-19 pandemic. We interviewed 32 Asian Americans aged 18–59 ( M = 26.63, SD = 7.66; 28% = Ethnic Chinese) who had experienced anti-Asian sentiment on social media during the pandemic. Our study shows that social media played a contradictory role in how Asian Americans experience and cope with the surge in anti-Asian sentiment. Findings from our thematic analysis demonstrate that (1) the negative experiences of social media in conjunction with racial identity that influences Asian Americans’ psychological well-being, (2) the positive role of social media offering a space for collective solidarity, and (3) the positive role of social media activism as a means of collective coping and resilience.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".