Identifying shared leadership in Wikipedia

  • Authors:
  • Haiyi Zhu;Robert E. Kraut;Yi-Chia Wang;Aniket Kittur

  • Affiliations:
  • Carnegie Mellon University, Pittsburgh, Pennsylvania, USA;Carnegie Mellon University, Pittsburgh, Pennsylvania, USA;Carnegie Mellon University, Pittsburgh, Pennsylvania, USA;Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

  • Venue:
  • Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  • Year:
  • 2011

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Abstract

In this paper, we introduce a method to measure shared leadership in Wikipedia as a step in developing a new model of online leadership. We show that editors with varying degrees of engagement and from peripheral as well as central roles all act like leaders, but that core and peripheral editors show different profiles of leadership behavior. Specifically, we developed machine learning models to automatically identify four types of leadership behaviors from 4 million messages sent between Wikipedia editors. We found strong evidence of shared leadership in Wikipedia, with editors in peripheral roles producing a large proportion of leadership behaviors.