Analyzing Organizational Routines in Online Knowledge Collaborations: A Case for Sequence Analysis in CSCW

August 19, 2015 Β· Declared Dead Β· πŸ› Conference on Computer Supported Cooperative Work

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Authors Brian C. Keegan, Shakked Lev, Ofer Arazy arXiv ID 1508.04819 Category cs.SI: Social & Info Networks Cross-listed cs.HC, cs.IR, physics.data-an, stat.AP Citations 39 Venue Conference on Computer Supported Cooperative Work Last Checked 6 months ago
Abstract
Research into socio-technical systems like Wikipedia has overlooked important structural patterns in the coordination of distributed work. This paper argues for a conceptual reorientation towards sequences as a fundamental unit of analysis for understanding work routines in online knowledge collaboration. We outline a research agenda for researchers in computer-supported cooperative work (CSCW) to understand the relationships, patterns, antecedents, and consequences of sequential behavior using methods already developed in fields like bio-informatics. Using a data set of 37,515 revisions from 16,616 unique editors to 96 Wikipedia articles as a case study, we analyze the prevalence and significance of different sequences of editing patterns. We illustrate the mixed method potential of sequence approaches by interpreting the frequent patterns as general classes of behavioral motifs. We conclude by discussing the methodological opportunities for using sequence analysis for expanding existing approaches to analyzing and theorizing about co-production routines in online knowledge collaboration.
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