Zhou, Yiwei and Demidova, Elena and Cristea, A. I. (2016) 'Who likes me more? Analysing entity-centric language-specific bias in multilingual Wikipedia.', in Proceedings of the 2016 ACM Symposium on Applied Computing : Artificial Intelligence and Agents, Distributed Systems, and Information Systems. New York: ACM, pp. 750-757.
Abstract
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.
| Item Type: | Book chapter |
|---|---|
| Full text: | (AM) Accepted Manuscript Download PDF (552Kb) |
| Status: | Peer-reviewed |
| Publisher Web site: | https://doi.org/10.1145/2851613.2851858 |
| Publisher statement: | © Copyright is held by the owner/author(s). This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 2016 ACM Symposium on Applied Computing : Artificial Intelligence and Agents, Distributed Systems, and Information Systems, https://doi.org/10.1145/2851613.2851858 |
| Date accepted: | 23 November 2015 |
| Date deposited: | 31 July 2018 |
| Date of first online publication: | 04 April 2016 |
| Date first made open access: | No date available |
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