Abstract
Effective public health messaging benefits from understanding antecedents to unstable attitudes that are more likely to be influenced. This work investigates the relationship between moral and emotional bases for attitudes towards COVID-19 vaccines and variance in stance. Evaluating nearly 1 million X users over a two month period, we find that emotional language in tweets about COVID-19 vaccines is largely associated with more variation in stance of the posting user, except anger and surprise. The strength of COVID-19 vaccine attitudes associated with moral values varies across foundations. Most notably, liberty is consistently used by users with no or less variation in stance, while fairness and sanctity are used by users with more variation. Our work has implications for designing constructive pro-vaccine messaging and identifying receptive audiences.
This work was supported in part by the Knight Foundation and the Office of Naval Research grant MURI: Persuasion, Identity, & Morality in Social-Cyber Environments, N00014-21-12749. Additional support was provided by the Center for Computational Analysis of Social and Organizational Systems (CASOS) at Carnegie Mellon University. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Knight Foundation, Office of Naval Research, or the U.S. Government.
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Phillips, S.C., Ng, L.H.X., Zhou, W., Carley, K.M. (2024). Moral and Emotional Influences on Attitude Stability Towards COVID-19 Vaccines on Social Media. In: Thomson, R., et al. Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2024. Lecture Notes in Computer Science, vol 14972. Springer, Cham. https://doi.org/10.1007/978-3-031-72241-7_21
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