Twitter, Artificial Intelligence Track People’s Physical Activities

New York: Using Artificial Intelligence (AI) and data from various social media sites, researchers tracked people’s physical activities, from bowling to crossfit, in a bid to inform future efforts to tackle health disparities. The researchers used machine learning to find and comb through exercise-related tweets from across the US, unpacking regional and gender differences in exercise types and intensity levels. By analysing the language of the tweets, this method was also able to show how different populations feel about different kinds of exercise. “In most cases, lower-income communities tend to lack access to resources that encourage a healthy lifestyle,” said study author Elaine Nsoesie, Assistant Professor at the Boston University in the US. (IANS)

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