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에디터의 몰입이 개방형 협업 콘텐츠 품질에 미치는 영향: 위키피디아 알찬급 승급을 중심으로

Effect of Editors' Commitment on Open Collaboration Contents: Promotion of Wikipedia Featured Articles

  • Khan, Naveed (Department of Business Administration, Hanyang University) ;
  • Kim, Jong Woo (School of Business, Hanyang University) ;
  • Lee, Hong Joo (Department of Business Administration, the Catholic University of Korea)
  • 투고 : 2017.05.10
  • 심사 : 2017.10.24
  • 발행 : 2017.11.30

초록

위키피디아는 콘텐츠 협업을 위한 사이트들 중에서 사용자가 가장 많이 사용하는 사이트이다. 위키피디아의 성공은 수많은 자원 봉사자들이 자신의 지식을 제공하려는 동기와 지속적인 몰입 때문이다. 이 논문에서는 Cox 회귀 모델을 사용하여 에디팅에서의 셀프 루프(Self-loop)가 위키피디아 알찬글(Featured articles)로의 승급에 미치는 효과를 평가하였다. 2,978개의 위키피디아 알찬글에 대해서 글이 시작된 시점부터 2011년까지의 편집 내역을 수집하였다. 아티클 편집에서 자기가 수정한 후에 다른 사람이 수정하기 전에 다시 자기가 수정하는 셀프 루프를 사용자의 몰입에 대한 프록시로 사용하였으며, 셀프 루프의 수가 알찬글로의 승급에 긍정적인 영향을 미치는 것을 파악하였다. 추가적으로 자기 루프를 단기와 장기로 더 상세하여 구분하였고, 장기 셀프 루프가 단기 셀프 루프보다 더 긍정적인 영향을 미치는 것을 파악하였다.

Wikipedia is one of the world's most visited sites for content collaboration. Its success is due to thousands of volunteers' motivation and commitment to contribute their knowledge to Wikipedia. In this paper, we use the Cox regression model to assess the effect of self-loop editing on the promotion of Wikipedia featured articles. We collected 2978 Wikipedia featured article editing history from start of Wikipedia until 2011. We use self-loops as a proxy measure for Wikipedia editors' commitment, and find that self-loop editing has a positive effect on the promotion of featured articles. We further distinguish the self-loop into a short-term self-loop and a long-term self-loop. We find that long-term self-loop editing is more helpful than short-term self-loop editing. This research has been conducted with both theoretical and practical application methods.

키워드

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