Analyzing Wikidata Transclusion on English Wikipedia
By Isaac Johnson. 2020
4 citations recorded by the source corpus.
Wikidata is steadily becoming more central to Wikipedia, not just in maintaining interlanguage links, but in automated population of content within the articles themselves. It is not well understood, however, how widespread this transclusion of Wikidata content is within Wikipedia. This work presents a taxonomy of Wikidata transclusion from the perspective of its potential impact on readers and an associated in-depth analysis of Wikidata transclusion within English Wikipedia. It finds that Wikidata transclusion that impacts the content of Wikipedia articles happens at a much lower rate (5%) than previous statistics had suggested (61%). Recommendations are made for how to adjust current tracking mechanisms of Wikidata transclusion to better support metrics and patrollers in their evaluation of Wikidata transclusion.
Subfields: Artificial Intelligence, Communication, Molecular Biology, Knowledge Graphs & Representation, Social Sciences & Humanities
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In Artificial Intelligence
- Andreas Vlachos
- Sebastian Riedel
- Amrith Krishna
- James Thorne
- Mohit Bansal
- Hannaneh Hajishirzi
- Luke S. Zettlemoyer
- Tim Rocktaschel
In Communication
In Molecular Biology
In Knowledge Graphs & Representation
In Social Sciences & Humanities
Citations in the corpus
- ProoFVer: Natural Logic Theorem Proving for Fact Verification (2021, background): “Natural logic operates directly on natural language (Angeli and Manning, 2014; Abzianidze, 2017b), and thus is appealing for fact verification, as structured knowledge bases like Wikidata typically lag behind text-based encyclopedias such as Wikipedia in terms of coverage (Johnson, 2020).”