Finding home in online community: exploring TikTok as a support for gender and sexual minority youth throughout COVID-19
Bibliographic record
Abstract
In March 2020, with the global number of COVID-19 cases on the rise, many people were advised to stay at home and leave only for necessities. Across the globe, people were on lockdown. Very little is known about how this period of quarantine due to the pandemic has impacted the lives of gender and sexual minority youth. Between February and June of 2020, TikTok—a short- video sharing platform—was the most downloaded social media app. The purpose of this study was to use a digital ethnographic approach on TikTok to explore the experiences of gender and sexual minority youth during COVID-19. Thematic analysis of the data collected resulted in an overarching theme of TikTok as a supportive community. Additionally, four sub themes were examined including support with family relationships, identity formation, community and belonging and sharing knowledge and information. This study demonstrates the need for further research into gender and sexual minority youth social media cultures and highlights the resilience and resourcefulness of gender and sexual minority youth when faced with unprecedented circumstances.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.007 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".