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http://dx.doi.org/10.3743/KOSIM.2020.37.2.171

A Study on the Knowledge Formation Process of Wikipedia in Korea through Big Data Analysis  

Lee, Jungyeoun (이화여자대학교 이화사회과학원)
Jeon, Suhyeon (우아한형제들)
Publication Information
Journal of the Korean Society for information Management / v.37, no.2, 2020 , pp. 171-195 More about this Journal
Abstract
This study analyzed the collaborative process in time series by dismantling the edit log big data of Wikipedia Korea, a representative online collaboration community, from early 2002 to 2019. Analysis elements were extracted from the document edit records, formatted in standardized XML, and analyzed using Python and R. The ways of editors' contribution, the characteristics of data contents, and the trend of document creation were explained by the analysis. An active contribution of a small set of editors and a loose participation of the majority were revealed. In addition, sociocultural characteristics that appear in online communities were also found in Wikipedia Korea. A new, diverse set of external resources is necessary to sustain the collective intelligence. An effort to settle new editors into the wikipedia community and an openness through circulation structure to avoid the exclusiveness of the management group are suggested.
Keywords
Wikipedia; Wikimedia; CSCW; OPPC; Peer Production; Korea; Editors; UGC; User Generated Content;
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