Quality Change: Norm or Exception? Measurement, Analysis and Detection of Quality Change in Wikipedia

Wikipedia has been turned into an immensely popular crowd-sourced encyclopedia for information dissemination on numerous versatile topics in the form of subscription free content. It allows anyone to contribute so that articles remain comprehensive and updated. For enrichment content without compromising standards, community enumerates a detailed set guidelines, which should be followed. Based these, are categorized several quality classes by editors with increasing adherence guidelines. This assessment task is laborious as well demands platform expertise. As first objective, this paper, we study evolution article respect such scales. Our results show novel non-intuitive patterns emerging from exploration. second objective attempt develop automated data driven approach detection early signals influencing change articles. We posit point problem whereby represent time series consecutive revisions encode every revision intuitive features. Finally, various algorithms used efficiently accurately detect future points. also perform ablation studies understand group features most effective identifying To best our knowledge, work rigorously explores English life cycle perspective indicators provides unsupervised page level switch, can help automatic monitoring thus contributing significantly CSCW community.