mlsanityData to 7 Oct 2026

Explainable Patterns for Distinction and Prediction of Moral Judgement on Reddit

arXiv 2201.11155 ↗First posted 26 Jan 2022cs.CL cs.AIcited by 6

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Abstract (arXiv)

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.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 10 of its 26 references that are in the map. First posted on arXiv 26 Jan 2022.

Builds on

10 of 26 references.

References · 10

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2020Learning from Noisy Labels with Deep Neural Networks: A Surveycited by 580
  3. 2020The Pushshift Reddit Datasetcited by 289
  4. 2021Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factorscited by 106
  5. 2020FIND: Human-in-the-Loop Debugging Deep Text Classifierscited by 40
  6. 2016MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detectioncited by 27
  7. 2020Stance Detection in Web and Social Media: A Comparative Studycited by 25
  8. 2018Stance Detection on Tweets: An SVM-based Approachcited by 8
  9. 2021Analysis of Moral Judgement on Redditcited by 8
  10. 2021GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patternscited by 6

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Cited by year

Citing papers per year: 2022: 2; 2023: 3; 2024: 0; 2025: 1.

6 papers.