WiseDex: Misinformation Judgments with Public Legitimacy

NSF Convergence Accelerator Track F: The University of Michigan (UM) helped develop WiseDex for “Fast, Comprehensive Misinformation Enforcement,” helping online platforms push “difficult judgments to someone outside the company … by externalizing the difficult responsibility of censorship,” per notes from UM’s first pitch to the NSF, according to the House Judiciary Committee.

“WiseDex harnesses the wisdom of crowds and AI techniques to help identify more misinformation posts. The result is more comprehensive, equitable, and consistent enforcement, significantly reducing the spread of misinformation. The core WiseDex innovation is to expand high- level, abstract policies into a large database of claims that violate the policies. Each claim profile will include keywords in multiple languages, making it easy for platform trust and safety teams to search for matching posts and flag them for human review. Claim profiles will also include instructive examples that help reviewers decide quickly and consistently.”

Commentary:
This research focused on psycho-social factors in human decisionmaking, focused on 'misinformation' and the 'subjective ground truth.' One can only speculate as to how these insights might be deployed on the population.

About the award

October 1, 2021 - September 30, 2023

Project information

Academia

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