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Research has shown the importance of a functioning governance system for the success of peer production communities. It particu- larly highlights the role of human coordination and communication within the governance regime. In this article, we extend this line of research by differentiating two categories of governance mech- anisms. The first category is based primarily on communication, in which social norms emerge that are often formalized by written rules and guidelines. The second category refers to the technical infrastructure that enables users to access artifacts, and that allows the community to communicate and coordinate their collective ac- tions to create those artifacts. We collected qualitative and quan- titative data from Wikipedia in order to show how a community’s consensus gradually converts social mechanisms into algorithmic mechanisms. In detail, we analyze algorithmic governance mech- anisms in two embedded cases: the software extension “flagged revisions” and the bot “xqbot”. Our insights point towards a grow- ing relevance of algorithmic governance in the realm of governing large-scale peer production communities. This extends previous re- search, in which algorithmic governance is almost absent. Further research is needed to unfold, understand, and also modify exist- ing interdependencies between social and algorithmic governance mechanisms.