Who likes me more? Analysing entity-centric
language-specific bias in multilingual Wikipedia
Who likes me more? Analysing entity-centric
language-specific bias in multilingual Wikipedia
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.
Zhou, Yiwei
d0d5e1f5-adcd-42eb-bbba-4c1406428789
Demidova, Elena
8af7dea2-8dc6-40da-98b4-ea4a6593f2af
Cristea, Alexandra I.
e49d8136-3747-4a01-8fde-694151b7d718
Zhou, Yiwei
d0d5e1f5-adcd-42eb-bbba-4c1406428789
Demidova, Elena
8af7dea2-8dc6-40da-98b4-ea4a6593f2af
Cristea, Alexandra I.
e49d8136-3747-4a01-8fde-694151b7d718
Zhou, Yiwei, Demidova, Elena and Cristea, Alexandra I.
(2016)
Who likes me more? Analysing entity-centric
language-specific bias in multilingual Wikipedia.
The 31st ACM/SIGAPP Symposium on Applied Computing (SAC 2016), Pisa, Italy.
04 - 08 Apr 2016.
8 pp
.
(doi:10.1145/2851613.2851858).
Record type:
Conference or Workshop Item
(Paper)
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.
Text
SAC2016_SentiWiki.pdf
- Accepted Manuscript
More information
Accepted/In Press date: 23 November 2015
e-pub ahead of print date: April 2016
Venue - Dates:
The 31st ACM/SIGAPP Symposium on Applied Computing (SAC 2016), Pisa, Italy, 2016-04-04 - 2016-04-08
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 392903
URI: http://eprints.soton.ac.uk/id/eprint/392903
PURE UUID: 61818903-fa3c-4b00-8b5f-17a4eb5a0986
Catalogue record
Date deposited: 18 Apr 2016 13:58
Last modified: 14 Mar 2024 23:52
Export record
Altmetrics
Contributors
Author:
Yiwei Zhou
Author:
Elena Demidova
Author:
Alexandra I. Cristea
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics