Abstract
On Twitter, many users tweet in more than one language. In this study, we examine the use of two Dutch minority languages. Users can engage with different audiences and by analyzing different types of tweets, we find that characteristics of the audience influence whether a minority language is used. Furthermore, while most tweets are written in Dutch, in conversations users often switch to the minority language.
Original language | English |
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Title of host publication | Proceedings of the Ninth International AAAI Conference on Web and Social Media, ICWSM 2015 |
Place of Publication | Palo Alto |
Publisher | AAAI |
Pages | 666-669 |
Number of pages | 4 |
ISBN (Print) | 9781577357339 |
Publication status | Published - May 2015 |
Event | 9th International AAAI Conference on Web and Social Media, ICWSM 2015 - Oxford, United Kingdom Duration: 26 May 2015 → 29 May 2015 http://www.icwsm.org/2015/ |
Conference
Conference | 9th International AAAI Conference on Web and Social Media, ICWSM 2015 |
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Abbreviated title | ICWSM |
Country/Territory | United Kingdom |
City | Oxford |
Period | 26/05/15 → 29/05/15 |
Internet address |
Keywords
- Twittersociolinguisticscode-switchingautomatic language identificationcomputational linguistics
- automatic language identification
- EWI-26675
- IR-99121
- code-switching
- Computational Linguistics
- METIS-315150
- Sociolinguistics