TY - GEN
T1 - Understanding language diversity in local twitter communities
AU - Magdy, Amr
AU - Ghanem, Thanaa M.
AU - Musleh, Mashaal
AU - Mokbel, Mohamed F.
N1 - Publisher Copyright:
© 2016 ACM.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/7/10
Y1 - 2016/7/10
N2 - Twitter is one of the top-growing online communities in the last years. In this poster, we study the language us- Age and diversity in Twitter local communities. We identify local communities in Twitter on a country-level. For each community, we examine: (1) the language diversity, (2) the language dominance and how it differs from local to global views, (3) demographic representativeness of tweets, and (4) the spatial distribution of different cultural groups within the community. We show fruitful insights about language usage on Twitter which can be exploited in language- based applications on top of tweets, e.g., lingual analysis and disaster management. In addition, we provide an interactive tool to explore the spatial distribution of cultural groups, which provides a low-effort and high-precision localization of different cultural groups.
AB - Twitter is one of the top-growing online communities in the last years. In this poster, we study the language us- Age and diversity in Twitter local communities. We identify local communities in Twitter on a country-level. For each community, we examine: (1) the language diversity, (2) the language dominance and how it differs from local to global views, (3) demographic representativeness of tweets, and (4) the spatial distribution of different cultural groups within the community. We show fruitful insights about language usage on Twitter which can be exploited in language- based applications on top of tweets, e.g., lingual analysis and disaster management. In addition, we provide an interactive tool to explore the spatial distribution of cultural groups, which provides a low-effort and high-precision localization of different cultural groups.
UR - http://www.scopus.com/inward/record.url?scp=84980378521&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84980378521&partnerID=8YFLogxK
U2 - 10.1145/2914586.2914612
DO - 10.1145/2914586.2914612
M3 - Conference contribution
AN - SCOPUS:84980378521
T3 - HT 2016 - Proceedings of the 27th ACM Conference on Hypertext and Social Media
SP - 331
EP - 332
BT - HT 2016 - Proceedings of the 27th ACM Conference on Hypertext and Social Media
PB - Association for Computing Machinery, Inc
T2 - 27th ACM Conference on Hypertext and Social Media, HT 2016
Y2 - 10 July 2016 through 13 July 2016
ER -