Introduction by OpenMethods Editor (Joris van Zundert): Now that sources for research increasingly are digital sources, how do we establish the quality of such sources? Researchers from Amsterdam University and the Free University of Amsterdam propose a framework for quality assessment based on natural language processing techniques potentially reaching up to as many as 90% of articles accurate classified for quality.
We present a framework for assessing the quality of Web documents, and a baseline of three quality dimensions: trustworthiness, objectivity and basic scholarly quality. Assessing Web document quality is a “deep data” problem necessitating approaches to handle both data size and complexity. Traditional quality assessment methodologies are tailored to physical documents such as books, and qualitatively evaluate their authors and other metadata. These practices need to be extended to respond to the specific nature of online sources.