We chose these cut-off points based on prior work, which found ideologies to become more extreme beyond -1 and 1 [ 37 ] as well as the distribution of sentiment scores in our dataset, which showed a trend of becoming more negative for users with ideology scores beyond −1.5 and 1.5 (see Fig.
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Understanding underlying moral values and language use of COVID-19 vaccine attitudes on twitter.
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