MOTIV: Visual Exploration of Moral Framing in Social Media
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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
© 2024 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.
Abstract
We present a visual computing framework for analysing moral rhetoric on social media around controversial topics. Using Moral Foundation Theory, we propose a methodology for deconstructing and visualizing the , and behind each of these moral dimensions as expressed in microblog data. We characterize the design of this framework, developed in collaboration with experts from language processing, communications and causal inference. Our approach integrates microblog data with multiple sources of geospatial and temporal data, and leverages unsupervised machine learning (generalized additive models) to support collaborative hypothesis discovery and testing. We implement this approach in a system named MOTIV. We illustrate this approach on two problems, one related to Stay‐at‐home policies during the COVID‐19 pandemic, and the other related to the Black Lives Matter movement. Through detailed case studies and discussions with collaborators, we identify several insights discovered regarding the different drivers of moral sentiment in social media. Our results indicate that this visual approach supports rapid, collaborative hypothesis testing, and can help give insights into the underlying moral values behind controversial political issues.Supplemental Material:
Description
@article{10.1111:cgf.15072,
journal = {Computer Graphics Forum},
title = {{MOTIV: Visual Exploration of Moral Framing in Social Media}},
author = {Wentzel, A. and Levine, L. and Dhariwal, V. and Fatemi, Z. and Bhattacharya, A. and Eugenio, B. Di and Rojecki, A. and Zheleva, E. and Marai, G.E.},
year = {2024},
publisher = {© 2024 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.},
DOI = {10.1111/cgf.15072}
}