  Wikidata is a multi-language knowledge base that is being edited and
maintained by editors from different language communities. Due to the
structured nature of its content, the contributions are in various forms,
including manual edit, tool-assisted edits, automated edits, etc, with the
majority of edits being the import from wiki-internal or external datasets. Due
to the outstanding power of bots and tools reflecting from their large volume
of edits, knowledge contributions within Wikidata can easily cause epistemic
injustice due to internal and external reasons. In this case study, we compared
the coverage and edit history of human pages in two countries. By shedding
light on these disparities and offering actionable solutions, our study aims to
enhance the fairness and inclusivity of knowledge representation within
Wikidata, ultimately contributing to a more equitable and comprehensive global
knowledge base.
