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Apr 21, 2021 Building a machine learning model to filter analyze 120 million tweets showed researchers at Los Alamos National Laboratory how COVID-19 conspiracy theories evolved over time. The tool could someday help public health officials combat misinformation online, lab representatives said. “We wanted to create a more cohesive understanding of how misinformation changes as it spreads,” said Courtney Shelley, a postdoctoral researcher in the Information Systems and Modeling Group at the...

This image shows the change in word importance over time for tweets related to the Bill and Melinda Gates conspiracy theory. In the top panel, the x-axis represents time while the y-axis shows important words. Color represents the importance of words, with darker color indicating higher importance. In the bottom panel are word clouds for each topic. Word size corresponds to word weight (higher weighted words appear larger). Credit: Los Alamos National Laboratory A new machine-le...

New Algorithm Could Help Public Health Officials Combat Misinformation Online Written by AZoRoboticsApr 20 2021 Researchers have developed a new machine-learning program that precisely determines the COVID-19-linked conspiracy theories on social media and models how they developed with respect to time. This tool could someday assist public health officials to fight misinformation online. This image shows the change in word importance over time for tweets related to the Bill and Melinda Gates co...

Date Time New AI tool tracks evolution of COVID-19 conspiracy theories on social media LOS ALAMOS, N.M., April 19, 2021—A new machine-learning program accurately identifies COVID-19-related conspiracy theories on social media and models how they evolved over time—a tool that could someday help public health officials combat misinformation online. “A lot of machine-learning studies related to misinformation on social media focus on identifying different kinds of conspiracy theories,” sai...