An unsupervised framework for tracing textual sources of moral change (2021.findings-emnlp)

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Challenge: Existing studies on moral sentiment classification and temporal inference of moral sentiment have not quantified the origins of these changes.
Approach: They propose an unsupervised framework for tracing textual sources of moral change toward entities through time.
Outcome: The proposed framework captures fine-grained human moral judgments and identifies coherent source topics of moral change triggered by historical events.

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Challenge: This tutorial will help researchers answer questions fundamental to the social sciences and humanities .
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Challenge: Recent studies have focused on detecting moral values in political communication, trying to identify moral frames used by political actors or parties to convey their messages.
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Challenge: Recent work on modelling morality in text has garnered increasing attention due to its complexity and complexity.
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