Pith. sign in

REVIEW 1 cited by

Explainable Patterns for Distinction and Prediction of Moral Judgement on Reddit

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2201.11155 v1 pith:MFOZ6MO6 submitted 2022-01-26 cs.CL cs.AI

classification cs.CLcs.AI
keywords commentsmoralforumpostsjudgementpatternsredditamitheasshole
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

The forum r/AmITheAsshole in Reddit hosts discussion on moral issues based on concrete narratives presented by users. Existing analysis of the forum focuses on its comments, and does not make the underlying data publicly available. In this paper we build a new dataset of comments and also investigate the classification of the posts in the forum. Further, we identify textual patterns associated with the provocation of moral judgement by posts, with the expression of moral stance in comments, and with the decisions of trained classifiers of posts and comments.

Discussion (0). Sign in to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. The Pluralistic Moral Gap: Understanding Judgment and Value Differences between Humans and Large Language Models

    cs.CL 2025-07 conditional novelty 6.0 of 10

    LLMs align with human moral judgments only under high consensus, concentrate on a narrow set of moral values, and the profile-based prompting method's reported improvement is evaluated in-sample.

Pith tools