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Truth decay, disinformation, AI, COVID-19, conspiracy theories | Homeland Security Newswire


Published 4 May 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 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,” said Courtney Shelley, a postdoctoral researcher in the Information Systems and Modeling Group at Los Alamos National Laboratory and co-author of the study that was published in the  ....

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Tweet analysis uncovers how COVID conspiracy theories evolved -- GCN


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 lab. “Because people tend to believe the first message they encounter, public health officials could someday monitor which conspiracy theories are gaining traction on social media and craft factual public information campaigns to preempt widespread acceptance of falsehoods.” ....

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New AI tool tracks evolution of COVID-19 conspiracy theories on social media – TodayHeadline


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-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. ....

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New Algorithm Could Help Public Health Officials Combat Misinformation Online


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 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). Image Credit: Los Alamos National Laboratory. ....

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