Quality assessment of wikipedia articles: a deep learning approach by Quang Vinh Dang and Claudia-Lavinia Ignat with Martin Vesely as coordinator | ACM SIGWEB Newsletter

Wikipedia is indeed a very important knowledge sharing platform. However, since its start in 2001, the quality of Wikipedia is questioned because its content is created potentially by everyone who can access the Internet. Currently, the quality of Wikipedia articles is assessed by human judgement. The method is not scalable up to huge size and fast changing speed of Wikipedia today. An automatic quality classifier for Wikipedia articles is required to support user to choose high quality articles for reading and to notify authors for improving their products. While other existing approaches are based on manually predefined specific feature set, we present our approach of using deep learning to automatically represent Wikipedia articles for quality classification.