Online platforms offer forums with rich, real-world illustrations of moral reasoning. Among these, the r/AmITheAsshole (AITA) subreddit has become a prominent resource for computational research. In AITA, a user (author) describes an interpersonal moral scenario, and other users (commenters) provide moral judgments with reasons for who in the scenario is blameworthy. Prior work has focused on predicting moral judgments from AITA posts and comments. This study introduces the concept of moral sparks—key narrative excerpts that commenters highlight as pivotal to their judgments. Thus, sparks represent heightened moral attention, guiding readers to effective rationales. Through 24,676 posts and 175,988 comments, we demonstrate that research in social psychology on moral judgments extends to real-world scenarios. For example, negative traits (rude) amplify moral attention, whereas sympathetic traits (vulnerable) diminish it. Similarly, linguistic features, such as emotionally charged terms (e.g., anger), heighten moral attention, whereas positive or neutral terms (leisure and bio) attenuate it. Moreover, we find that incorporating moral sparks enhances pretrained language models’ performance on predicting moral judgment, achieving gains in F1 scores of up to 5.5%. These results demonstrate that moral sparks, derived directly from AITA narratives, capture key aspects of moral judgment and perform comparably to prior methods that depend on human annotation or large-scale generative modeling.
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The moral obligations of conflict and resistance
Abstract Morality has two key features: (1) moral judgments are not solely determined by what your group thinks, and (2) moral judgments are often applied to members of other groups as well as your own group. Cooperative motives do not explain how young children reject unfairness, and assert moral obligations, both inside and outside their groups. Resistance and experience with conflicts, alongside cooperation, is key to the emergence and development of moral obligation.
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- Award ID(s):
- 1728918
- PAR ID:
- 10285301
- Date Published:
- Journal Name:
- Behavioral and Brain Sciences
- Volume:
- 43
- ISSN:
- 0140-525X
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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