Seeing similarity in the face of difference: enabling comparison of online production systems

Abstract

The purpose of this paper is to present an approach to model, analyze and visualize online production systems, such as Wikipedia, open source software development processes, and Flickr. While the final result of the production in these systems depends on the type of product (e.g., content, software, and tags), there are similarities in their modes of actions. The approach taken is to interpret online production systems as social information spaces, and to describe them with a generic vocabulary that is implemented in software. One scenario for open content production is presented using data from the online encyclopedia Wikipedia. The generic vocabulary is extended by wiki-specific vocabulary; the value of the approach is illustrated with two selected network presentations. The main insight is that key processes in online production systems can be reduced to two basic items and three fundamental relations. Various kinds of online production systems can be mapped onto this vocabulary and the same software solution can be applied for analyzing them. The approach presented here has two practical implications: first, available data from online production systems can be obtained and evaluated more easily. Second, results are comparable because the generic vocabulary serves as a shared understanding of online production systems.

The People’s Encyclopedia Under the Gaze of the Sages: A Systematic Review of Scholarly Research on Wikipedia

“…Pamkowska (2008) presented Wikipedia as an autopoietic system, that is, one that self-creates, self-adjusts and self-develops; she presented it as a model for managers to administrate similarly autopoietic organizations. Müller-Birn et al (2010) p ov e n pp o ch o o g n z ng n onl ne p o uc on sys ems, w h " wo p c c l implications: first, available data from online production systems can be obtained and evaluated more easily. Second, results are comparable because the generic vocabulary serves as a shared understanding of onl ne p o uc on sys ems.…”

“…In addition to these, other articles that studied other collaboration topics are discussed elsewhere in this review (Müller-Birn et al 2010;Preece & Shneiderman 2009;Gehl 2010;M. Lin 2006;Poderi 2009;Muller-Seitz & Reger 2009;Ha & Y.-H. Kim 2009;Pfeil et al 2006;Kaplan & Haenlein 2010;Mattus 2008;de Laat 2010;Yasseri & Kertész 2012;Kimmons 2011).…”