Automatic Quality Assessment of Wikipedia Articles-A Systematic Literature Review

• Tipo: Outra Publicação em Revista Científica Internacional
• Data: 2024

Autores

Moas, PM (Autor) Outra; Carla Teixeira Lopes (Autor) FEUP

Revista

Título: ACM Computing Surveys

Vol. 56

Página Inicial: 95:1

ISSN: 0360-0300

Editora: ACM

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00Z-6XK

DOI: 10.1145/3625286

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 37