Research used data mining tools combat covid 19 misinformation

Computer scientists at UC Riverside are working on tools to assist track and monitor COVID-19 symptoms, as well as sort through disinformation about the condition on social media. Using Google Trends data, a team led by Vagelis Papalexakis, an associate professor in the Marlan and Rosemary Bourns College of Engineering, and Jia Chen, an assistant professor of teaching, created an algorithm that identified three COVID-19 symptoms that were distinct from the flu: Ageusia (loss of taste function of the tongue), shortness of breath, and anosmia (loss of smell) are all…

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