Using AI for both Wikidata/Wikipedia quality assurance

When people consider the relation between Wikipedia and Wikidata, it is typically seen from the perspective of creating new information either in a Wikipedia or in Wikidata. However what can we do for the quality of both Wikipedia and Wikidata when we consider the existing data in all Wikipedias and compare it to the Wikidata information.

All Wikipedia articles on the same subject are linked to only one Wikidata item. Articles linked from a Wikipedia article are consequently known to Wikidata. When Wikidata knows about a relation between these two articles, dependent on the relation they could feature in info boxes and/or categories in the article. At Wikidata we know about categories and what they should contain. Info boxes are known to Wikipedias for what they contain, relations are likely to be known both to Wikidata and Wikipedia

Issues identified in this way will substantially improve the integrity of the data in all our projects. We are expecting false friends and missing information in Wikidata and in all Wikipedias.

Using AI for identifying issues ensures that quality will be constantly part of the process. That basic facts are correct so that the information we provide to our audience will be as good as we have it.

Thanks,

       GerardM