MOTIV: Visual Exploration of Moral Framing in Social Media

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dc.contributor.authorWentzel, A.en_US
dc.contributor.authorLevine, L.en_US
dc.contributor.authorDhariwal, V.en_US
dc.contributor.authorFatemi, Z.en_US
dc.contributor.authorBhattacharya, A.en_US
dc.contributor.authorEugenio, B. Dien_US
dc.contributor.authorRojecki, A.en_US
dc.contributor.authorZheleva, E.en_US
dc.contributor.authorMarai, G.E.en_US
dc.contributor.editorAlliez, Pierreen_US
dc.contributor.editorWimmer, Michaelen_US
dc.date.accessioned2024-12-19T11:14:59Z
dc.date.available2024-12-19T11:14:59Z
dc.date.issued2024
dc.description.abstractWe 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:en_US
dc.description.number6
dc.description.sectionheadersORIGINAL ARTICLES
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume43
dc.identifier.doi10.1111/cgf.15072
dc.identifier.pages15 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.15072
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf15072
dc.publisher© 2024 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.en_US
dc.rightsAttribution-NonCommercial 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectinteraction
dc.subjecthuman–computer interfaces
dc.subjectuser interface design
dc.subjectvisualization
dc.subjectinformation visualization
dc.titleMOTIV: Visual Exploration of Moral Framing in Social Mediaen_US
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