Mapping Articles on China in Wikipedia: An Inter-Language Semantic Network Analysis

dc.contributor.author Jiang, Ke
dc.contributor.author Benefield, Grace A.
dc.contributor.author Yang, Junfei
dc.contributor.author Barnett, George A.
dc.date.accessioned 2016-12-29T00:53:56Z
dc.date.available 2016-12-29T00:53:56Z
dc.date.issued 2017-01-04
dc.description.abstract This article describes an inter-language semantic network analysis examining the differences between articles about China in the Chinese and English versions of Wikipedia. It explores the differences in the content of Wikipedia through (a) correlation analysis of semantic networks and (b) the salience of semantic concepts through their network centralities. The results suggest there is high dissimilarity between the semantic content of the English and Chinese versions of articles on China. While both pages focused on government, population, language, character, diplomatic relations, development of the economy, and science and technology, the Chinese-speaking and English-speaking contributors framed the article on China differently—according to dissimilarities in cultures, values, interests, situations, and emotions of different language groups. This research contributes to the literature and understanding of how culture of different language groups influences the process of crowdsourcing knowledge on online collaboration platforms.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2017.270
dc.identifier.isbn 978-0-9981331-0-2
dc.identifier.uri http://hdl.handle.net/10125/41425
dc.language.iso eng
dc.relation.ispartof Proceedings of the 50th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Crowdsourcing Knowledge
dc.subject Culture
dc.subject Inter-language
dc.subject Semantic Network Analysis
dc.subject Wikipedia
dc.title Mapping Articles on China in Wikipedia: An Inter-Language Semantic Network Analysis
dc.type Conference Paper
dc.type.dcmi Text
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