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.
%0 Conference Paper
%1 Zhou:2016:LMM:2851613.2851858
%A Zhou, Yiwei
%A Demidova, Elena
%A Cristea, Alexandra I.
%B Proceedings of the 31st Annual ACM Symposium on Applied Computing
%C New York, NY, USA
%D 2016
%I ACM
%K alexandria
%P 750--757
%R 10.1145/2851613.2851858
%T Who Likes Me More?: Analysing Entity-centric Language-specific Bias in Multilingual Wikipedia
%U http://doi.acm.org/10.1145/2851613.2851858
%X 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.
%@ 978-1-4503-3739-7
@inproceedings{Zhou:2016:LMM:2851613.2851858,
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.},
acmid = {2851858},
added-at = {2016-09-29T10:41:03.000+0200},
address = {New York, NY, USA},
author = {Zhou, Yiwei and Demidova, Elena and Cristea, Alexandra I.},
biburl = {https://www.bibsonomy.org/bibtex/2b534e97aad5bc04ca0c94a3268c068fb/alexandriaproj},
booktitle = {Proceedings of the 31st Annual ACM Symposium on Applied Computing},
doi = {10.1145/2851613.2851858},
interhash = {863dbf409c783ce0cdeefab00da28a8b},
intrahash = {b534e97aad5bc04ca0c94a3268c068fb},
isbn = {978-1-4503-3739-7},
keywords = {alexandria},
location = {Pisa, Italy},
numpages = {8},
pages = {750--757},
publisher = {ACM},
series = {SAC '16},
timestamp = {2016-09-29T10:41:03.000+0200},
title = {Who Likes Me More?: Analysing Entity-centric Language-specific Bias in Multilingual Wikipedia},
url = {http://doi.acm.org/10.1145/2851613.2851858},
year = 2016
}