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Dataset Information

Crowdsourcing Knowledge Production of COVID-19 Information on Japanese Wikipedia in the Face of Uncertainty: Empirical Analysis.


ABSTRACT:

Background

A worldwide overabundance of information comprising misinformation, rumors, and propaganda concerning COVID-19 has been observed in addition to the pandemic. By addressing this data confusion, Wikipedia has become an important source of information.

Objective

This study aimed to investigate how the editors of Wikipedia have handled COVID-19-related information. Specifically, it focused on 2 questions: What were the knowledge preferences of the editors who participated in producing COVID-19-related information? and How did editors with different knowledge preferences collaborate?

Methods

This study used a large-scale data set, including >2 million edits in the histories of 1857 editors who edited 133 articles related to COVID-19 on Japanese Wikipedia. Machin

SUBMITTER: Yang K 

PROVIDER: S-EPMC10365582 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature