CharMoral: A Character Morality Dataset for Morally Dynamic Character Analysis in Long-Form Narratives (2025.coling-main)
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| Challenge: | Existing studies on character analysis focus on character identification, social network analysis, and the exploration of characters' personas or personalities. |
| Approach: | They propose a four-stage framework to automatically classify actions as moral or immoral based on context. |
| Outcome: | The proposed framework is effective in moral reasoning tasks in multiple genres. |
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Text-based inference of moral sentiment change (D19-1)
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| Challenge: | Existing work in NLP treats moral sentiment as a flat classification problem, but our framework probes moral sentiment change at multiple levels and captures moral dynamics concerning relevance, polarity, and finegrained categories informed by Moral Foundations Theory. |
| Approach: | They propose a text-based framework that exploits implicit moral biases learned from diachronic word embeddings to probe moral sentiment change over a long historical period. |
| Outcome: | The proposed framework supports inferences of historical shifts in moral sentiment toward concepts such as slavery and democracy over centuries at three incremental levels: moral relevance, moral polarity, and fine-grained moral dimensions. |
A Corpus for Understanding and Generating Moral Stories (2022.naacl-main)
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| Challenge: | Existing tasks for evaluating story understanding and generation focus on reasoning plots from context, but they focus on bridging plots with implied morals. |
| Approach: | They propose two understanding tasks and two generation tasks to assess machines' ability to bridge story plots and implied morals. |
| Outcome: | The proposed tasks are based on a dataset of Chinese and English moral stories . they show that the proposed models can perform better than existing models . |
CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models (2024.findings-acl)
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Linhao Yu, Yongqi Leng, Yufei Huang, Shang Wu, Haixin Liu, Xinmeng Ji, Jiahui Zhao, Jinwang Song, Tingting Cui, Xiaoqing Cheng, Liutao Liutao, Deyi Xiong
| Challenge: | Recent years have witnessed remarkable progress achieved by large language models in both natural language understanding and generation. |
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| Outcome: | The proposed dataset is characterized by diversity and authenticity. |
Story Morals: Surfacing value-driven narrative schemas using large language models (2024.emnlp-main)
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| Challenge: | Using large language models, we extract and validate story morals across a diverse set of narrative genres. |
| Approach: | They propose a task of narrative schema labelling based on the concept of "story morals" they use large language models to extract and validate story morals across a diverse set of genres . |
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Probing Narrative Morals: A New Character-Focused MFT Framework for Use with Large Language Models (2025.emnlp-main)
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| Challenge: | Existing methods to categorize moral foundations in storytelling are limited. |
| Approach: | They propose a character-centric method to quantify moral foundations in storytelling using large language models and a novel Moral Foundations Character Action Questionnaire to validate their approach against human annotations. |
| Outcome: | The proposed method validates against human annotations and then applies to 2,697 folktales from 55 countries. |
HISTOIRESMORALES: A French Dataset for Assessing Moral Alignment (2025.naacl-long)
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Thibaud Leteno, Irina Proskurina, Antoine Gourru, Julien Velcin, Charlotte Laclau, Guillaume Metzler, Christophe Gravier
| Challenge: | HistoiresMorales is a dataset based on moralStories in French . it is based upon annotations of moral values within the dataset . |
| Approach: | They propose a dataset in French that aims to align language models with moral values . they use annotations to ensure their alignment with French norms . |
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Who Plays Which Role? Protagonist Detection and Classification in Moral Discourse (2026.eacl-srw)
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| Challenge: | a systematic study of phrase-level protagonist detection and classification in moral discourse focuses on moral values rather than the actors involved. |
| Approach: | They propose to decompose a task into identifying protagonist mentions and classifying them by what kind of actor they are and what function they serve in the moral argument. |
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A Survey on Modelling Morality for Text Analysis (2024.findings-acl)
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| Challenge: | Recent work on modelling morality in text has garnered increasing attention due to its complexity and complexity. |
| Approach: | They provide a systematic review of recent work on modelling morality in text . they discuss challenges and research gaps in the area of NLP . |
| Outcome: | The authors present their work on the modelling of morality in text, which has garnered increasing attention in recent years. |
Tales of Morality: Comparing Human- and LLM-Generated Moral Stories from Visual Cues (2025.findings-emnlp)
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| Challenge: | a recent study has found that stories are central to how humans communicate moral values . |
| Approach: | They compare human- and LLM-generated moral narratives based on images annotated by humans for moral content . authors propose a framework for evaluating moral storytelling in vision-language models . |
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Identifying Morality Frames in Political Tweets using Relational Learning (2021.emnlp-main)
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| Challenge: | Moral sentiment is often motivated by its targets, which can correspond to individuals or collective entities. |
| Approach: | They propose a model to predict moral attitudes towards entities and moral foundations jointly using tweets written by US politicians. |
| Outcome: | The proposed model predicts moral attitudes towards entities and moral foundations jointly from tweets written by US politicians. |