Sarasua, C., Checco, A. orcid.org/0000-0002-0981-3409, Demartini, G. et al. (3 more authors) (2019) The evolution of power and standard Wikidata editors: comparing editing behavior over time to predict lifespan and volume of edits. Computer Supported Cooperative Work, 28 (5). pp. 843-882. ISSN 0925-9724
Abstract
Knowledge bases are becoming a key asset leveraged for various types of applications on the Web, from search engines presenting ‘entity cards’ as the result of a query, to the use of structured data of knowledge bases to empower virtual personal assistants. Wikidata is an open general-interest knowledge base that is collaboratively developed and maintained by a community of thousands of volunteers. One of the major challenges faced in such a crowdsourcing project is to attain a high level of editor engagement. In order to intervene and encourage editors to be more committed to editing Wikidata, it is important to be able to predict at an early stage, whether an editor will or not become an engaged editor. In this paper, we investigate this problem and study the evolution that editors with different levels of engagement exhibit in their editing behaviour over time. We measure an editor’s engagement in terms of (i) the volume of edits provided by the editor and (ii) their lifespan (i.e. the length of time for which an editor is present at Wikidata). The large-scale longitudinal data analysis that we perform covers Wikidata edits over almost 4 years. We monitor evolution in a session-by-session- and monthly-basis, observing the way the participation, the volume and the diversity of edits done by Wikidata editors change. Using the findings in our exploratory analysis, we define and implement prediction models that use the multiple evolution indicators.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Springer Nature B.V. This is an author produced version of a paper subsequently published in Computer Supported Cooperative Work. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Wikidata; Knowledge; Power editors; Standard editors; Evolution |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 732328 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 03 Jan 2019 15:10 |
Last Modified: | 24 Nov 2021 14:25 |
Status: | Published |
Publisher: | Springer Nature |
Refereed: | Yes |
Identification Number: | 10.1007/s10606-018-9344-y |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:140352 |