Preprint: “Talking Wikidata: Communication Patterns and Their Impact on Community Engagement in Collaborative Knowledge Graphs”

The preprint linked below was recently shared on arXiv.

Title

Talking Wikidata: Communication Patterns and Their Impact on Community Engagement in Collaborative Knowledge Graphs

Authors

Elisavet Koutsiana
King’s College London

Ioannis Reklos
King’s College London

Kholoud Saad Alghamdi
King’s College London

Nitisha Jai
King’s College London

Albert Meroño-Peñuela
King’s College London

Elena Simperl
King’s College London

Source

via arXiv
DOI: 10.48550/arXiv.2407.18278

Abstract

 We study collaboration patterns of Wikidata, one of the world’s largest collaborative knowledge graph communities. Wikidata lacks long-term engagement with a small group of priceless members, 0.8%, to be responsible for 80% of contributions. Therefore, it is essential to investigate their behavioural patterns and find ways to enhance their contributions and participation. Previous studies have highlighted the importance of discussions among contributors in understanding these patterns. To investigate this, we analyzed all the discussions on Wikidata and used a mixed methods approach, including statistical tests, network analysis, and text and graph embedding representations. Our research showed that the interactions between Wikidata editors form a small world network where the content of a post influences the continuity of conversations. We also found that the account age of Wikidata members and their conversations are significant factors in their long-term engagement with the project. Our findings can benefit the Wikidata community by helping them improve their practices to increase contributions and enhance long-term participation.

Direct to Full Text Article
22 pages; PDF.

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