Core Concepts
Machine ethics and human moral judgments are examined through computational techniques on Reddit narratives, revealing the impact of character traits on moral values.
Abstract
The study explores real-life ethical scenarios and human moral judgments on Reddit's r/AmITheAsshole subreddit. Computational analysis reveals the influence of negative character traits on blame assignment and the role of linguistic signals in moral spark identification. The research delves into social commonsense causal reasoning and linguistic features to understand moral narratives.
- Introduction
- Machine ethics ensures ethical AI conduct.
- Real-life applications provide valuable data for understanding human ethics.
- Data Extraction
- Over 24,672 posts and 175,988 comments were analyzed.
- Findings
- Negative character traits amplify blameworthiness.
- Linguistic features influence moral spark identification.
- Human Evaluation
- Survey results show strong agreement on c-event alignments and cluster names.
- Associations
- C-events with negative character traits increase blameworthiness.
- Judgments
- Sympathetic character traits reduce blameworthiness.
Stats
"By examining over 24 672 posts and 175 988 comments, we find that event-related negative character traits (e.g., immature and rude) attract attention and stimulate blame."
"Our computational framework yields interesting findings, suggesting that there is an overall tendency in identifying moral sparks and assigning judgments in AITA."
Quotes
"Negative character traits amplify blame while sympathetic traits reduce it."
"Linguistic features play a crucial role in identifying moral sparks."