  Diversity Searcher is a tool originally developed to help analyse diversity
in news media texts. It relies on a form of automated content analysis and thus
rests on prior assumptions and depends on certain design choices related to
diversity and fairness. One such design choice is the external knowledge
source(s) used. In this article, we discuss implications that these sources can
have on the results of content analysis. We compare two data sources that
Diversity Searcher has worked with - DBpedia and Wikidata - with respect to
their ontological coverage and diversity, and describe implications for the
resulting analyses of text corpora. We describe a case study of the relative
over- or under-representation of Belgian political parties between 1990 and
2020 in the English-language DBpedia, the Dutch-language DBpedia, and Wikidata,
and highlight the many decisions needed with regard to the design of this data
analysis and the assumptions behind it, as well as implications from the
results. In particular, we came across a staggering over-representation of the
political right in the English-language DBpedia.
