MOTIV: Visual Exploration of Moral Framing in Social Media

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 when, where and who behind each of these moral dimensions as expressed in microblog data. W...

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Veröffentlicht in:	Computer graphics forum 2024-09, Vol.43 (6), p.n/a
Hauptverfasser:	Wentzel, A., Levine, L., Dhariwal, V., Fatemi, Z., Bhattacharya, A., Eugenio, B. Di, Rojecki, A., Zheleva, E., Marai, G.E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Collaboration Digital media human–computer interfaces Hypotheses Hypothesis testing information visualization interaction Machine learning Microblogs Natural language processing Social networks Unsupervised learning user interface design visualization
Online-Zugang:	Volltext
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