@inproceedings{26716f2eead64caa9ca5effca66c74b4,
title = "Omnipedia: Bridging the Wikipedia language gap",
abstract = "We present Omnipedia, a system that allows Wikipedia readers to gain insight from up to 25 language editions of Wikipedia simultaneously. Omnipedia highlights the similarities and differences that exist among Wikipedia language editions, and makes salient information that is unique to each language as well as that which is shared more widely. We detail solutions to numerous front-end and algorithmic challenges inherent to providing users with a multilingual Wikipedia experience. These include visualizing content in a language-neutral way and aligning data in the face of diverse information organization strategies. We present a study of Omnipedia that characterizes how people interact with information using a multilingual lens. We found that users actively sought information exclusive to unfamiliar language editions and strategically compared how language editions defined concepts. Finally, we briefly discuss how Omnipedia generalizes to other domains facing language barriers.",
keywords = "Hyperlingual, Language barrier, Multilingual, Text mining, User-generated content, Wikipedia",
author = "Patti Bao and Brent Hecht and Samuel Carton and Mahmood Quaderi and Michael Horn and Darren Gergle",
year = "2012",
doi = "10.1145/2207676.2208553",
language = "English (US)",
isbn = "9781450310154",
series = "Conference on Human Factors in Computing Systems - Proceedings",
pages = "1075--1084",
booktitle = "Conference Proceedings - The 30th ACM Conference on Human Factors in Computing Systems, CHI 2012",
note = "30th ACM Conference on Human Factors in Computing Systems, CHI 2012 ; Conference date: 05-05-2012 Through 10-05-2012",
}