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Enabling fast, comprehensive misinformation enforcement

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About WiseDex

Social media companies have policies against harmful misinformation. Unfortunately, enforcement is uneven, especially for non-English content. WiseDex harnesses the wisdom of crowds and AI techniques to help flag more posts. The result is more comprehensive, equitable, and consistent enforcement, significantly reducing the spread of misinformation.
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The Team

Experts in crowdsourcing, fact-checking, natural language processing, political psychology, trust & safety, and beyond have all come together to create WiseDex.
Paul Resnick
Project Director
Paul Resnick
Benji Loney
Trust & Safety
Benji Loney
Scott Hale
Fact-Checking
Scott Hale
Amy Zhang
Crowdsourcing
Amy Zhang
Adam Berinsky
Political Psychology
Adam Berinsky
Dave Rand
Political Psychology
Dave Rand
Rada Mihalcea
NLP
Rada Mihalcea
David Jurgens
NLP
David Jurgens
Veronica Perez-Rosas
NLP
Veronica Perez-Rosas
James Park
Project Manager
James Park
Have any questions or want to collaborate? Please contact us.
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Current Status

Our proposal for Phase II of the NSF Convergence Accelerator was, sadly, not funded. We are completing some of the
Phase I work on the conditions of public legitimacy for juries adjudicating misinformation content moderation actions.
We are also continuing development of the process for generating search keywords in multiple languages for specific misinformation claims and looking for opportunities to develop and deploy other elements of the WiseDex vision.
We continue to welcome inquiries from potential clients, partners, and funders.

In addition to the video above, we are sharing a public executive summary and a slightly revised version of the full
Phase II proposal
that we submitted.

Our Partners

WiseDex is a 2021 Cohort Member of the National Science Foundation’s Convergence Accelerator.

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