Curious what patterns you find. Reply or re-post with what stands out, interested to revisit the data... new threads to tug on could help inform a blog post or paper. #SexWorkResearch #DataViz #AcademicSky
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I’ve created this starter pack of sex workers’ rights & anti-trafficking activists, researchers, & journalists! Please comment anyone else I should include.
go.bsky.app/U736K8k
Under the hood: bibliographic data from #OpenAlex, then an NLP pipeline cleans records, extracts studied populations and locations from abstracts, and tags clusters with topical labels.
Instead of searching in isolation: - trace co-authorship networks and topic clusters
- surface adjacent literatures you wouldn't think to search
- filter by population, country, document type
- access open versions where available
Each cluster is labeled, see the field at a glance.
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Most respondents buy locally (dashed rings). The city-to-city flows are where it gets interesting: regional clusters, asymmetric travel, patterns that don't track population.
Filter by venue, sexuality, age, buyer experience. For research and policy, not enforcement.
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This is a pilot. I'm building custom literature networks and NLP-driven research tools for academic, NGO, and policy contexts. DM me if you want one for your field, or have ideas to refine this one.
sociologix.ca/sex-lit-netw...
#SexWorkResearch #Sociology #AcademicSky
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In 2014–15, Chris Atchison's S3 study at UVic surveyed 1,133 people who buy sexual services in Canada — then the largest voluntary sample of its kind.
The mobility data stuck with me. Never became a paper. So I rebuilt it as an interactive map:
sociologix.ca/canada-clients
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Most literature search tools make you guess the right keyword. This one lets you follow the research.
The Sex Industry Research Network: a free, interactive map of global research on sex work, sex industries, and trafficking.
47,880 papers · 62,296 authors · 178,577 connections
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