https://www.selleckchem.com/pr....oducts/sb-204990.htm
This study examined public discourse and sentiment regarding older adults and COVID-19 on social media and assessed the extent of ageism in public discourse. Twitter data (N=82,893) related to both older adults and COVID-19 and dated from January 23 to May 20, 2020, were analyzed. We used a combination of data science methods (including LinguisticInquiry andWord Count, supervised machine learning, topic modeling, and sentiment analysis), qualitative thematic analysis, and conventional statistics. The most common category in the coded
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