Understanding underlying moral values and language use of COVID-19 vaccine attitudes on twitter.

ABSTRACT: Public sentiment toward the COVID-19 vaccine as expressed on social media can interfere with communication by public health agencies on the importance of getting vaccinated. We investigated Twitter data to understand differences in sentiment, moral values, and language use between political ideologies on the COVID-19 vaccine. We estimated political ideology, conducted a sentiment analysis, and guided by the tenets of moral foundations theory (MFT), we analyzed 262,267 English language tweets from the United States containing COVID-19 vaccine-related keywords between May 2020 and October 2021. We applied the Moral Foundations Dictionary and used topic modeling and Word2Vec to understand moral values and the context of words central to the discussion of the vaccine debate. A quadratic trend

SUBMITTER: Borghouts J 

PROVIDER: S-EPMC9991494 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature