# Conceptual Mapping of Controversies

arXiv: https://arxiv.org/abs/2404.18940 · HTML: https://mlsanity.com/paper/2404.18940/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 39 references that are in the map.
- First posted on arXiv 25 Apr 2024.

## Builds on (most cited first, 4 of 4)

- [Quantifying the Conceptual Error in Dimensionality Reduction](https://mlsanity.com/paper/2106.06815/) (2021)
- [Greedy Discovery of Ordinal Factors](https://mlsanity.com/paper/2302.11554/) (2023)
- [Scaling Dimension](https://mlsanity.com/paper/2302.09101/) (2023)
- [Towards Ordinal Data Science](https://mlsanity.com/paper/2307.09477/) (2023)

## Abstract (arXiv)

With our work, we contribute towards a qualitative analysis of the discourse on controversies in online news media. For this, we employ Formal Concept Analysis and the economics of conventions to derive conceptual controversy maps. In our experiments, we analyze two maps from different news journals with methods from ordinal data science. We show how these methods can be used to assess the diversity, complexity and potential bias of controversies. In addition to that, we discuss how the diagrams of concept lattices can be used to navigate between news articles.