Muscles, Makeup, and Femboys: Analyzing TikTok’s “Radical” Masculinities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
News reports and online comments suggest that social media applications like TikTok play an important role in challenging traditional notions of masculinity. Male creators who don jewelry and engage in dance in their videos are emblematic of a broader shift in social and mainstream media toward gender non-conformity. Do these videos represent a movement away from hegemonic ideals? Based on a visual content analysis of 205 TikTok videos across the application’s 43 most followed male creators, we examine representations of masculinity on the platform. Drawing on the concept of hybrid masculinity, we find that TikTok creators both challenge and reinforce traditional notions of masculinity, subverting widely recognizable tropes, and gender norms while simultaneously reinforcing the importance of men’s muscularity, attractiveness, and sexual bravado. Taken together, our findings contribute to a broader discussion of the role that social media play in reproducing inequality along the lines of gender, race, and sexuality, including how beauty is rewarded symbolically and materially in online spaces.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it