Who Likes Me More?: Analysing Entity-centric Language-specific Bias in Multilingual Wikipedia
Y. Zhou, E. Demidova, and A. Cristea. Proceedings of the 31st Annual ACM Symposium on Applied Computing, page 750--757. New York, NY, USA, ACM, (2016)
In this paper we take an important step towards better understanding the existence and extent of entity-centric language-specific bias in multilingual Wikipedia, and any deviation from its targeted neutral point of view. We propose a methodology using sentiment analysis techniques to systematically extract the variations in sentiments associated with real-world entities in different language editions of Wikipedia, illustrated with a case study of five Wikipedia language editions and a set of target entities from four categories.