The Impact of Censorship of LGBTQ Content on Xiaohongshu on Queer Expression
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 essay delves into the impact that the censorship of LGBTQ content on Xiaohongshu can have on the expression of queer individuals. This research conducted an analysis of the censorship mechanism of Xiaohongshu, collected tags commonly used by LGBTQ users, and proceeded to analyze the data. Subsequently, the examination of the connection between the causes and effects of the adjustments made at the societal level is done, as well as the stereotypes surrounding the LGBTQ community. Tumblr is being used as an example of how it can help LGBTQ members to find their identity, find peers and friends, and locate communities. All in all, it is concluded that LGBTQ members’ attempts to pass censorship can facilitate engagement with the public, which may dispel stereotypes. However, it is essential to acknowledge that these adjustments may also inadvertently create new stereotypes.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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 it