  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.
