rfc.sql

Dataset of 7.316 Request for Comments that were used for research on earning insights for resolving disputes in a timely manner on Wikipedia, as well as other peer production and and deliberative communities beyond Wikipedia.<br>Research on this dataset has been accepted as a full-paper for CSCW 2018. The abstract is as below.<br>Resolving disputes in a timely manner is crucial for any online production group. We present ananalysis of Requests for Comments (RfCs), one of the main vehicles on Wikipedia for formally resolving apolicy or content dispute. We collected an exhaustive dataset of 7,316 RfCs on English Wikipedia overthe course of 7 years and conducted a qualitative and quantitative analysis into what issues affect theRfC process. Our analysis was informed by 10 interviews with frequent RfC closers. We foundthat a major issue affecting the RfC process is the prevalence of RfCs that could have benefited from formalclosure but that linger indefinitely without one, with factors including participants' interest and expertise impacting thelikelihood of resolution. From these findings, we developed a model that predicts whether an RfC will go stale with 75.3\% accuracy, a level that is approached as early as one week after initiation.