Sex Work and Social Media: Online Advocacy Strategies
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
Online communication continues to provide opportunities to connect, mobilize and disseminate information amongst direct service organizations. While the use of social media among non-profits continues to expand, there is a paucity of research that documents the extent to which online channels – particularly social media – are adopted and used amongst organizations that support sex workers. Online advocacy efforts have grown over the last decade, with sex workers and non-profit organizations at the forefront. This article evaluates the presence and social media strategies amongst organizations providing direct services for sex workers in Canada. Eighty-seven organizations operating in Canada were examined to assess both the types of social media channels used, and the online strategies employed. Results indicate there is a propensity for agencies to engage in multiple social media platforms with spaces for service users to post information in lieu of static sites that predominantly support one-way communication. Recommendations and best practices include integrating postings across platforms for efficiency, developing and maintaining safe spaces online, and focusing on channels that support multilogue communication. Keywords: Sex work, social media, knowledge
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 | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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