How Large-Scale Identification and Intervention Can Empower Professional Fact-Checkers to Improve Democracy and Public Health

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University of Wisconsin
School of Journalism and Mass Communication; Center for Communication and Civic Renewal (CCCR)
Federal Award Identifier: 

NSF Convergence Accelerator Track F: Claiming that “skepticism regarding the integrity of U.S. elections and hesitancy related to COVID-19 vaccines are two consequences of a decline in confidence in basic political processes and core medical institutions” and that “social media serve as a major source of delegitimizing information about elections and vaccines, with networks of users actively sowing doubts about election integrity and vaccine efficacy, fueling the spread of misinformation,” this project aimed to “support and empower efforts by journalists, developers, and citizens to fact-check such misinformation” by developing tools to “enable testing of fact-checking stories on topics like elections and vaccines as they move across social media platforms like Twitter, Reddit, and Facebook, and deliver feedback on how well the corrections worked in real time and with full performance transparency.”

This was work to “develop an interactive system that enables fact-checkers to perform rapid-cycle testing of fact-checking messages and monitor their real-time performance among online communities at-risk of misinformation exposure.” It committed to sharing “all of the underlying code, surveys, and data” with the social science and computer science communities, and “all evidence-based messages of immediate utility to public health professionals and electoral administrators will be made publicly accessible.”

Commentary:
Seeking to offset skepticism about U.S. election integrity and Covid vaccines, this major project will create software systems to bolster and systematically monitor 'fact-checking' of online information, particularly on social media. This is emblematic of dozens, if not hundreds of similar projects funded by the U.S. government during this period.

About the award

October 1, 2021 - August 31, 2023

Project information

Academia

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