This project aims to address the Covid “infodemic” by creating a computational framework to examine how Black and rural communities encounter online information about Covid vaccination on social media, seeking to uncover how race and location shape differing attitudes and responses. It “employs machine learning, predictive analytics, and natural language processing to pinpoint what makes specific messages convincing, while also using qualitative approaches to investigate reactions among four distinct groups: Black rural, White rural, Black urban, and White urban residents.”
Investigating and Identifying the Heterogeneity in Covid-19 Misinformation Exposure on Social Media Among Black and Rural Communities to Inform Precision Public Health Messaging
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Commentary:
This grant exemplifies one of the most disturbing trends of the past few years: that is, the weaponization of racial minorities for specific targeted censorship efforts, particularly related to Covid shots. The inherent skepticism of these various groups has made them a target for extreme governmental propaganda efforts from every angle, as this grant demonstrates. This award was terminated on March 20, 2025.
This grant exemplifies one of the most disturbing trends of the past few years: that is, the weaponization of racial minorities for specific targeted censorship efforts, particularly related to Covid shots. The inherent skepticism of these various groups has made them a target for extreme governmental propaganda efforts from every angle, as this grant demonstrates. This award was terminated on March 20, 2025.