Content selection algorithms need you!
The project came out of informal conversations between an independent researcher and a Meta product manager more than two years ago. We then assembled the academic team, as well as researchers from nonprofits and advocacy groups to help keep the focus on public benefit. Perhaps we were naive, but we were taken aback by rejections from people who nevertheless agreed that we were asking valuable questions.
Some of the pushback comes from the fact that Meta is putting money toward the project. Although no external researchers are being paid, the University of Toronto has contracted with Meta to manage the university-based parts of the collaboration. This project has significant administrative and engineering costs, in part because we decided to ensure research integrity by externally writing key parts of the code that Meta will run.
platforms to make data available to qualified researchers, and a number of similar policy proposals have been introduced to the US Congress. Yet our work necessarily goes far beyond “data access.”that involves intervening on a live platform can test the hypothesis that recommender systems can be oriented to long-term positive outcomes, and develop sharable technology to do so.
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