Disabled content creators on OnlyFans: Empowerment, representation, and precarity
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
This paper explores the intersection of disability and digital content creation on OnlyFans, a subscription-based social media platform known for its diverse creator community. Through a content analysis of 10 news articles and 22 Reddit threads focused on disability and OnlyFans, we investigate the experiences of disabled content creators in this dynamic digital landscape. OnlyFans has emerged as a promising employment option for people with disabilities, offering financial stability, independence, and a newfound sense of career control. However, concerns persist regarding potential impacts on disability-related benefits, highlighting the need for clearer support mechanisms. Furthermore, the platform has redefined power dynamics, allowing creators to reclaim agency over their narratives, particularly during the pandemic. It has not only transformed financial prospects but also served as a tool for managing health conditions and boosting self-confidence. These findings underscore OnlyFans’ role in fostering inclusivity and financial empowerment for disabled individuals. Our analysis also unveils broader societal challenges linked to disability and sexuality, including the de-sexualization and hypersexualization of disabled individuals. This emphasizes the urgency of cultivating a more inclusive understanding of sexuality and consent. Additionally, the fetishization of disabled people, termed “devotees,” adds complexity to the conversation, underlining the importance of respecting autonomy. By shedding light on this underexplored intersection, our research seeks to contribute to a more informed discourse on disability, digital content creation, and online platforms. Ultimately, it highlights the imperative of ongoing exploration and support for disabled content creators within the evolving digital landscape.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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