Automatic Quality Assessment of Wikipedia Articles -- A Systematic
  Literature Review
Pedro Miguel Moás Carla Teixeira Lopes
Wikipedia is the world's largest online encyclopedia, but maintaining article
quality through collaboration is challenging. Wikipedia designed a quality
scale, but with such a manual assessment process, many articles remain
unassessed. We review existing methods for automatically measuring the quality
of Wikipedia articles, identifying and comparing machine learning algorithms,
article features, quality metrics, and used datasets, examining 149 distinct
studies, and exploring commonalities and gaps in them. The literature is
extensive, and the approaches follow past technological trends. However,
machine learning is still not widely used by Wikipedia, and we hope that our
analysis helps future researchers change that reality.