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"Come Together!": Interactions of Language Networks and Multilingual Communities on Twitter

Nabeel Albishry, Tom Crick Orcid Logo, Theo Tryfonas Orcid Logo

Computational Collective Intelligence, Volume: 10449, Pages: 469 - 478

Swansea University Author: Tom Crick Orcid Logo

DOI (Published version): 10.1007/978-3-319-67077-5_45

Abstract

Emerging tools and methodologies are providing insight into the factors that promote the propagation of information in online social networks following significant activities, such as high-profile international social or societal events. This paper presents an extensible approach for analysing how d...

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Published in: Computational Collective Intelligence
ISBN: 978-3-319-67076-8 978-3-319-67077-5
Published: Cyprus Springer 2017
Online Access: https://link.springer.com/chapter/10.1007%2F978-3-319-67077-5_45
URI: https://cronfa.swan.ac.uk/Record/cronfa43377
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spelling 2022-12-18T17:33:37.5392569 v2 43377 2018-08-14 "Come Together!": Interactions of Language Networks and Multilingual Communities on Twitter 200c66ef0fc55391f736f6e926fb4b99 0000-0001-5196-9389 Tom Crick Tom Crick true false 2018-08-14 EDUC Emerging tools and methodologies are providing insight into the factors that promote the propagation of information in online social networks following significant activities, such as high-profile international social or societal events. This paper presents an extensible approach for analysing how different language communities engage and interact on the social networking platform Twitter via an analysis of the Eurovision Song Contest held in Stockholm, Sweden, in May 2016. By utilising language information from user profiles (N=1,226,959) and status updates (N=7,926,746) to identify and categorise communities, our approach is able to categorise these interactions, as well as construct network graphs to provide further insight on these multilingual communities. The results show that multilingualism is positively correlated with activity whilst negatively correlated with posting in the user’s own language. Book chapter Computational Collective Intelligence 10449 469 478 Springer Cyprus 978-3-319-67076-8 978-3-319-67077-5 Language networks, Multilingual communities, Community discovery, Network graphs, Social networks 27 9 2017 2017-09-27 10.1007/978-3-319-67077-5_45 https://link.springer.com/chapter/10.1007%2F978-3-319-67077-5_45 Proceedings of 9th International Conference on Computational Collective Intelligence (ICCCI 2017) COLLEGE NANME Education COLLEGE CODE EDUC Swansea University 2022-12-18T17:33:37.5392569 2018-08-14T15:44:51.6073841 Faculty of Humanities and Social Sciences School of Social Sciences - Education and Childhood Studies Nabeel Albishry 1 Tom Crick 0000-0001-5196-9389 2 Theo Tryfonas 0000-0003-4024-8003 3 0043377-11092018222030.pdf iccci2017_paper149_cameraready.pdf 2018-09-11T22:20:30.8670000 Output 728107 application/pdf Accepted Manuscript true 2018-09-11T00:00:00.0000000 true eng
title "Come Together!": Interactions of Language Networks and Multilingual Communities on Twitter
spellingShingle "Come Together!": Interactions of Language Networks and Multilingual Communities on Twitter
Tom Crick
title_short "Come Together!": Interactions of Language Networks and Multilingual Communities on Twitter
title_full "Come Together!": Interactions of Language Networks and Multilingual Communities on Twitter
title_fullStr "Come Together!": Interactions of Language Networks and Multilingual Communities on Twitter
title_full_unstemmed "Come Together!": Interactions of Language Networks and Multilingual Communities on Twitter
title_sort "Come Together!": Interactions of Language Networks and Multilingual Communities on Twitter
author_id_str_mv 200c66ef0fc55391f736f6e926fb4b99
author_id_fullname_str_mv 200c66ef0fc55391f736f6e926fb4b99_***_Tom Crick
author Tom Crick
author2 Nabeel Albishry
Tom Crick
Theo Tryfonas
format Book chapter
container_title Computational Collective Intelligence
container_volume 10449
container_start_page 469
publishDate 2017
institution Swansea University
isbn 978-3-319-67076-8
978-3-319-67077-5
doi_str_mv 10.1007/978-3-319-67077-5_45
publisher Springer
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Social Sciences - Education and Childhood Studies{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Social Sciences - Education and Childhood Studies
url https://link.springer.com/chapter/10.1007%2F978-3-319-67077-5_45
document_store_str 1
active_str 0
description Emerging tools and methodologies are providing insight into the factors that promote the propagation of information in online social networks following significant activities, such as high-profile international social or societal events. This paper presents an extensible approach for analysing how different language communities engage and interact on the social networking platform Twitter via an analysis of the Eurovision Song Contest held in Stockholm, Sweden, in May 2016. By utilising language information from user profiles (N=1,226,959) and status updates (N=7,926,746) to identify and categorise communities, our approach is able to categorise these interactions, as well as construct network graphs to provide further insight on these multilingual communities. The results show that multilingualism is positively correlated with activity whilst negatively correlated with posting in the user’s own language.
published_date 2017-09-27T03:54:37Z
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score 11.013596

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