Automatic Quality Assessment of Wikipedia Articles-A Systematic Literature Review

• Type: Another Publication in an International Scientific Journal
• Date: 2024

Authors

Moas, PM (Author) Other; Carla Teixeira Lopes (Author) FEUP

Journal

Title: ACM Computing Surveys

Vol. 56

Initial page: 95:1

ISSN: 0360-0300

Publisher: ACM

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 2 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 37