Conceptual Mapping of Controversies

Fuente: arXiv
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Autores principales: Draude, Claude, Dürrschnabel, Dominik, Hirth, Johannes, Horn, Viktoria, Kropf, Jonathan, Lamla, Jörn, Stumme, Gerd, Uhlmann, Markus
Formato: Preprint
Publicado: 2024
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author Draude, Claude
Dürrschnabel, Dominik
Hirth, Johannes
Horn, Viktoria
Kropf, Jonathan
Lamla, Jörn
Stumme, Gerd
Uhlmann, Markus
author_facet Draude, Claude
Dürrschnabel, Dominik
Hirth, Johannes
Horn, Viktoria
Kropf, Jonathan
Lamla, Jörn
Stumme, Gerd
Uhlmann, Markus
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2404_18940
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Conceptual Mapping of Controversies
Draude, Claude
Dürrschnabel, Dominik
Hirth, Johannes
Horn, Viktoria
Kropf, Jonathan
Lamla, Jörn
Stumme, Gerd
Uhlmann, Markus
Social and Information Networks
Artificial Intelligence
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.
title Conceptual Mapping of Controversies
topic Social and Information Networks
Artificial Intelligence
url https://arxiv.org/abs/2404.18940