skip to main content
10.1145/2631775.2631824acmconferencesArticle/Chapter ViewAbstractPublication PageshtConference Proceedingsconference-collections
short-paper

Sociolinguistic analysis of Twitter in multilingual societies

Published:01 September 2014Publication History

ABSTRACT

In a multilingual society, language not only reflects culture and heritage, but also has implications for social status and the degree of integration in society. Different languages can be a barrier between monolingual communities, and the dynamics of language choice could explain the prosperity or demise of local languages in an international setting. We study this interplay of language and network structure in diverse, multi-lingual societies, using Twitter. In our analysis, we are particularly interested in the role of bilinguals. Concretely, we attempt to quantify the degree to which users are the "bridge-builders" between monolingual language groups, while monolingual users cluster together. Also, with the revalidation of English as a lingua franca on Twitter, we reveal users of the native non-English language have higher influence than English users, and the language convergence pattern is consistent across the regions. Furthermore, we explore for which topics these users prefer their native language rather than English. To the best of our knowledge, this is the largest sociolinguistic study in a network setting.

References

  1. D. M. Abrams and S. H. Strogatz. Linguistics: Modelling the dynamics of language death. Nature, 2003.Google ScholarGoogle Scholar
  2. J. Androutsopoulos. Language choice and code-switching in german-based diasporic web forums. The multilingual Internet, 2007.Google ScholarGoogle Scholar
  3. J. Anis. Neography: Unconventional spelling in french sms text messages. The multilingual Internet, 2007.Google ScholarGoogle Scholar
  4. A.-S. Axelsson, Å. Abelin, and R. Schroeder. Anyone speak swedish? tolerance for language shifting in graphical multi-user virtual environmnets. The multilingual Internet, 2007.Google ScholarGoogle Scholar
  5. G. Bailey, J. Goggins, and T. Ingham. http://mlm.humanities.manchester.ac.uk/reports/Twitter%20and%20Language%20Diversity.pdf.Google ScholarGoogle Scholar
  6. S. Bergsma, P. McNamee, M. Bagdouri, C. Fink, and T. Wilson. Language identification for creating language-specific twitter collections. In LASM. ACL, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. JMLR, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. P. Bourdieu. Distinction: A social critique of the judgement of taste. Harvard University Press, 1984.Google ScholarGoogle Scholar
  9. S. Carter, W. Weerkamp, and M. Tsagkias. Microblog language identification: Overcoming the limitations of short, unedited and idiomatic text. Language Resources and Evaluation, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. X. Castelló, V. M. Eguíluz, and M. San Miguel. Ordering dynamics with two non-excluding options: bilingualism in language competition. New Journal of Physics, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  11. M. Cha, H. Haddadi, F. Benevenuto, and P. K. Gummadi. Measuring user influence in twitter: The million follower fallacy. ICWSM, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  12. S. Climent, J. Moré, A. Oliver, M. Salvatierra, I. Sànchez, and M. Taulé. Can machine translation enhance the status of catalan versus spanish in online academic forums? B. Danet & S. Herring (Eds.), The multilingual Internet, 2007.Google ScholarGoogle Scholar
  13. X. Daming, W. Xiaomei, and L. Wei. 15 social network analysis. The Blackwell guide to research methods in bilingualism and multilingualism, 2008.Google ScholarGoogle Scholar
  14. J.-M. Dewaele. Blistering barnacles! what language do multilinguals swear in? Estudios de Sociolinguistica, 2004.Google ScholarGoogle Scholar
  15. N. C. Dorian. Language death: The life cycle of a Scottish Gaelic dialect. University of Pennsylvania PressPhiladelphia, 1981.Google ScholarGoogle Scholar
  16. N. C. Dorian. Investigating obsolescence: Studies in language contraction and death. Cambridge University Press, 1992.Google ScholarGoogle Scholar
  17. M. Durham. Language choice on a swiss mailing list. JCMC, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  18. J. A. Fishman. Reversing language shift: Theoretical and empirical foundations of assistance to threatened languages. Multilingual matters, 1991.Google ScholarGoogle Scholar
  19. S. Gal. Language shift: Social determinants of linguistic change in bilingual Austria. Academic Press New York, 1979.Google ScholarGoogle Scholar
  20. L. A. Grenoble and L. J. Whaley. Endangered languages: Language loss and community response. Cambridge University Press, 1998.Google ScholarGoogle ScholarCross RefCross Ref
  21. R. Guimera and L. A. N. Amaral. Functional cartography of complex metabolic networks. Nature, 2005.Google ScholarGoogle Scholar
  22. C. K.-M. Lee. Linguistic features of email and icq instant messaging in hong kong. The multilingual Internet, 2007.Google ScholarGoogle Scholar
  23. W. Li. Three generations, two languages, one family: Language choice and language shift in a Chinese community in Britain. Multilingual Matters, 1994.Google ScholarGoogle Scholar
  24. M. Mainguy, Y. Nakai, and M. Takayama. http://mlm.humanities.manchester.ac.uk/reports/Mapping%20Mancunian%20Multilingualism%20on%20Twitter.pdf.Google ScholarGoogle Scholar
  25. E. Manley. http://urbanmovements.co.uk/2012/10/23/detecting-languages-in-londonstwittersphere/.Google ScholarGoogle Scholar
  26. L. Milroy. Language and social networks. B. Blackwell, 1987.Google ScholarGoogle Scholar
  27. D. Mimno, H. M. Wallach, J. Naradowsky, D. A. Smith, and A. McCallum. Polylingual topic models. In EMNLP, pages 880--889, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. J. W. Minett and W. S. Wang. Modelling endangered languages: The effects of bilingualism and social structure. Lingua, 2008.Google ScholarGoogle ScholarCross RefCross Ref
  29. S. S. Mufwene. Language evolution: Contact, competition and change. Continuum International Publishing Group, 2008.Google ScholarGoogle Scholar
  30. T. Poell and K. Darmoni. Twitter as a multilingual space: The articulation of the tunisian revolution through #sidibouzid. NECSUS, 2012.Google ScholarGoogle ScholarCross RefCross Ref
  31. M. S. Schmid. Language attrition. Cambridge University Press Cambridge, UK, 2011.Google ScholarGoogle Scholar
  32. B. Suh, L. Hong, P. Pirolli, and E. H. Chi. Want to be retweeted? large scale analytics on factors impacting retweet in twitter network. In SocialCom. IEEE, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. R. Wardhaugh. Languages in competition: Dominance, diversity, and decline. B. Blackwell, 1987.Google ScholarGoogle Scholar
  34. M. Warschauer, G. R. E. Said, and A. G. Zohry. Language choice online: Globalization and identity in egypt. JCMC, 2002.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Sociolinguistic analysis of Twitter in multilingual societies

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      HT '14: Proceedings of the 25th ACM conference on Hypertext and social media
      September 2014
      346 pages
      ISBN:9781450329545
      DOI:10.1145/2631775

      Copyright © 2014 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 1 September 2014

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • short-paper

      Acceptance Rates

      HT '14 Paper Acceptance Rate49of86submissions,57%Overall Acceptance Rate378of1,158submissions,33%

      Upcoming Conference

      HT '24
      35th ACM Conference on Hypertext and Social Media
      September 10 - 13, 2024
      Poznan , Poland

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader