Abstract
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
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