LibertyMFD: A Lexicon to Assess the Moral Foundation of Liberty
Not on the map. Why?
Abstract (arXiv)
Quantifying the moral narratives expressed in the user-generated text, news, or public discourses is fundamental for understanding individuals' concerns and viewpoints and preventing violent protests and social polarisation. The Moral Foundation Theory (MFT) was developed to operationalise morality in a five-dimensional scale system. Recent developments of the theory urged for the introduction of a new foundation, the Liberty Foundation. Being only recently added to the theory, there are no available linguistic resources to assess whether liberty is present in text corpora. Given its importance to current social issues such as the vaccination debate, we propose two data-driven approaches, deriving two candidate lexicons generated based on aligned documents from online news sources with different worldviews. After extensive experimentation, we contribute to the research community a novel lexicon that assesses the liberty moral foundation in the way individuals with contrasting viewpoints express themselves through written text. The LibertyMFD dictionary can be a valuable tool for policymakers to understand diverse viewpoints on controversial social issues such as vaccination, abortion, or even uprisings, as they happen and on a large scale.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 7 of its 34 references that are in the map. First posted on arXiv 14 Sep 2022.
Builds on
7 of 34 references.
References · 7
- 2014Distributed Representations of Sentences and Documentscited by 677
- 2019MoralStrength: Exploiting a Moral Lexicon and Embedding Similarity for Moral Foundations Predictioncited by 31
- 2020Generalized Word Shift Graphs: A Method for Visualizing and Explaining Pairwise Comparisons Between Textscited by 21
- 2014DepecheMood: a Lexicon for Emotion Analysis from Crowd-Annotated Newscited by 13
- 2018DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniquescited by 11
- 2019Human Values and Attitudes towards Vaccination in Social Mediacited by 6
- 2020Political Partisanship and Anti-Science Attitudes in Online Discussions about Covid-19cited by 3
Built on by
Citing papers per year: 2023: 1; 2024: 3; 2025: 0; 2026: 1.
5 papers.
- 2024MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in Social Discussionscited by 23
- 2024A Survey on Moral Foundation Theory and Pre-Trained Language Models: Current Advances and Challengescited by 3
- 2023Constructing Vec-tionaries to Extract Message Features from Texts: A Case Study of Moral Appealscited by 0
- 2024LML: A Novel Lexicon for the Moral Foundation of Libertycited by 0
- 2026Less Is Moral: A CHARMing Framework for Moral Foundations Detection in Endorsement Behaviourcited by 0
- 2026Less Is Moral: A CHARMing Framework for Moral Foundations Detection in Endorsement Behaviour3 Sep 2026
- 2024A Survey on Moral Foundation Theory and Pre-Trained Language Models: Current Advances and Challenges20 Sep 2024
- 2024LML: A Novel Lexicon for the Moral Foundation of Liberty16 Jul 2024
- 2024MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in Social Discussions12 Mar 2024
- 2023Constructing Vec-tionaries to Extract Message Features from Texts: A Case Study of Moral Appeals10 Dec 2023