Abstract
Moral foundations theory helps understand differences in morality across cultures. Web trending topics assemble diverse opinions on the matters covered in the community. Detecting moral foundations within trending topics-related opinions can be of crucial importance in preventing moral shock and outrage, and extreme actions. In this paper, we propose a model to predict moral foundations (MF) from social media trending topics. Moreover, we investigate whether differences in MF have a certain influence on emotional traits. Our findings show the ability to predict MF, with F-1 scores of over 0.65 and indicate strong evidence that potential signals relevant to emotional traits can be captured from each MF dimension. Our results are promising and leave room for future research avenues.
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Tshimula, J.M., Chikhaoui, B., Wang, S. (2022). Investigating Moral Foundations from Web Trending Topics. In: Barolli, L., Miwa, H., Enokido, T. (eds) Advances in Network-Based Information Systems. NBiS 2022. Lecture Notes in Networks and Systems, vol 526. Springer, Cham. https://doi.org/10.1007/978-3-031-14314-4_19
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DOI: https://doi.org/10.1007/978-3-031-14314-4_19
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