Difference between revisions of "Who Likes Me More?: Analysing Entity-Centric Language-Specific Bias in Multilingual Wikipedia"
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| − | '''Who Likes Me More?: Analysing Entity-Centric Language-Specific Bias in Multilingual Wikipedia''' - scientific work related to Wikipedia quality published in 2016, written by Yiwei Zhou, Elena Demidova and Alexandra I. Cristea. | + | '''Who Likes Me More?: Analysing Entity-Centric Language-Specific Bias in Multilingual Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2016, written by [[Yiwei Zhou]], [[Elena Demidova]] and [[Alexandra I. Cristea]]. |
== Overview == | == Overview == | ||
| − | In this paper authors 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. Authors 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. | + | In this paper authors 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]]. Authors 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]]. |
Revision as of 11:59, 7 September 2019
Who Likes Me More?: Analysing Entity-Centric Language-Specific Bias in Multilingual Wikipedia - scientific work related to Wikipedia quality published in 2016, written by Yiwei Zhou, Elena Demidova and Alexandra I. Cristea.
Overview
In this paper authors 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. Authors 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.
