Yiwei Zhou
Who likes me more? Analysing entity-centric language-specific bias in multilingual Wikipedia
Zhou, Yiwei; Demidova, Elena; Cristea, A.I.
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.
Citation
Zhou, Y., Demidova, E., & Cristea, A. (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 (750-757). https://doi.org/10.1145/2851613.2851858
Conference Name | SAC 2016, 31st ACM Symposium on Applied Computing |
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Conference Location | Pisa |
Acceptance Date | Nov 23, 2015 |
Online Publication Date | Apr 4, 2016 |
Publication Date | Apr 4, 2016 |
Deposit Date | Jul 11, 2018 |
Publicly Available Date | Jul 31, 2018 |
Volume | 1 |
Pages | 750-757 |
Book Title | Proceedings of the 2016 ACM Symposium on Applied Computing : Artificial Intelligence and Agents, Distributed Systems, and Information Systems. |
DOI | https://doi.org/10.1145/2851613.2851858 |
Related Public URLs | http://wrap.warwick.ac.uk/78604/ |
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© 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
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