Topic analysis of French–English tweets in France.
Twitter has become a popular means of communication used in a variety of fields. This widely used platform has an impact on the way people express themselves and is changing language usage worldwide at an unprecedented pace. This article investigates the reasons for the use of French–English languag...
| Published in: | Digital Scholarship in the Humanities Vol. 37; no. 1; pp. 121 - 137 |
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| Format: | Article |
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Oxford University Press / USA
Apr2022
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=156054093&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 156054093 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Apr2022 vid: 37 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 156054093 10.1093/llc/fqab039 ppf: 121 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P size: 821KB tig: atl: Topic analysis of French–English tweets in France. aug: au: Hadour, Taoues affil: University of Central Florida , Department of Modern Languages and Literatures, USA su: X Corp. Switching theory Social media in business Linguistic change Pornography Internet Social media Virtual communities France sug: subj: France X Corp. Switching theory Social media in business Linguistic change Pornography Internet Social media Virtual communities ab: Twitter has become a popular means of communication used in a variety of fields. This widely used platform has an impact on the way people express themselves and is changing language usage worldwide at an unprecedented pace. This article investigates the reasons for the use of French–English language mixing among French users on Twitter using a topic analysis approach. This analysis draws on Gumperz's theory of conversational switching. In order to collect tweets at a large scale, the data were collected in R using the rtweet package. A total of nine topic categories were identified and analyzed in this article: entertainment, internet/social media, events/community, politics/news, sports, sex/pornography, innovation/technology, fashion/makeup, and business. This study finds that entertainment is the most frequent topic discussed on Twitter. English words, such as trailer, spoil, and live are found in the data. This study enables a deeper understanding of users' linguistic behavior online, and offers insights into future trends in intercultural and cross-language exchanges. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2022 holdings: @attributes: islocal: N |
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