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Buzz or Change: How the Social Network Structure Conditions the Fate of Lexical Innovations on Twitter
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In: 8th Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora 2021) ; https://hal.archives-ouvertes.fr/hal-03426028 ; 8th Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora 2021), Oct 2021, Nijmegen, Radboud University, Netherlands (2021)
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Segmentation devices in tweets: punctuation marks, connectives, emoticons and emojis ; De la segmentation dans les tweets : signes de ponctuation, connecteurs, émoticônes et émojis
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In: ISSN: 1638-9808 ; EISSN: 1765-3126 ; Corpus ; https://hal.archives-ouvertes.fr/hal-02496765 ; Corpus, Bases, Corpus, Langage - UMR 7320, 2020, Corpus complexes. Traitements, standardisation et analyse des corpus de communication médiée par les réseaux, 20 (20) ; https://journals.openedition.org/corpus/4619 (2020)
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Variations du (ne) négatif du français dans Twitter. Que peut apporter l’étude des données massives aux questions de sociolinguistique ?
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In: CILPR 2019 - XXIXe Congrès international de linguistique et de philologie romanes ; https://hal.archives-ouvertes.fr/hal-01970511 ; CILPR 2019 - XXIXe Congrès international de linguistique et de philologie romanes, Jul 2019, Copenhague, Danemark (2019)
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Approches sociolinguistiques et computationnelles du français sur Twitter
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In: Dynamique des communautés sur Twitter en période électorale : analyse par graphes aléatoires ; https://halshs.archives-ouvertes.fr/halshs-01832686 ; Dynamique des communautés sur Twitter en période électorale : analyse par graphes aléatoires, Apr 2018, Grenoble, France (2018)
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Socioeconomic dependencies of linguistic patterns in Twitter: a multivariate analysis
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In: WWW '18 - World Wide Web Conference ; https://hal.inria.fr/hal-01674620 ; WWW '18 - World Wide Web Conference, Apr 2018, Lyon, France. pp.1125-1134, ⟨10.1145/3178876.3186011⟩ ; https://www2018.thewebconf.org/ (2018)
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Abstract:
International audience ; Our usage of language is not solely reliant on cognition but is arguably determined by myriad external factors leading to a global variability of linguistic patterns. This issue, which lies at the core of sociolinguistics and is backed by many small-scale studies on face-to-face communication, is addressed here by constructing a dataset combining the largest French Twitter corpus to date with detailed socioeconomic maps obtained from national census in France. We show how key linguistic variables measured in individual Twitter streams depend on factors like socioeconomic status, location, time, and the social network of individuals. We found that (i) people of higher socioeconomic status, active to a greater degree during the daytime, use a more standard language; (ii) the southern part of the country is more prone to use more standard language than the northern one, while locally the used variety or dialect is determined by the spatial distribution of socioeconomic status; and (iii) individuals connected in the social network are closer linguistically than disconnected ones, even after the effects of status homophily have been removed. Our results inform sociolinguistic theory and may inspire novel learning methods for the inference of socioeconomic status of people from the way they tweet.
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Keyword:
[INFO.INFO-WB]Computer Science [cs]/Web; [SCCO.LING]Cognitive science/Linguistics
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URL: https://doi.org/10.1145/3178876.3186011
https://hal.inria.fr/hal-01674620
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Socioeconomic and network dependencies of linguistic patterns in Twitter
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In: IC2S2 2018 - 4th Annual International Conference on Computational Social Science ; https://hal.archives-ouvertes.fr/hal-01970536 ; IC2S2 2018 - 4th Annual International Conference on Computational Social Science, Jul 2018, Evanston, Illinois, United States (2018)
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| 7 |
Socioeconomic Dependencies of Linguistic Patterns in Twitter: A Multivariate Analysis ...
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The optional realization of the French negative particle (ne) on Twitter: Space, status and time
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In: New Ways of Analyzing Variation 46 ; https://hal.archives-ouvertes.fr/hal-01832374 ; New Ways of Analyzing Variation 46, Nov 2017, Madison, United States (2017)
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Socioeconomic and network dependencies of linguistic patterns in Twitter
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In: COMPLEX NETWORKS 2017 - 6th International Conference on Complex Networks and Their Applications ; https://hal.inria.fr/hal-01674632 ; COMPLEX NETWORKS 2017 - 6th International Conference on Complex Networks and Their Applications, Nov 2017, Lyon, France ; http://complexnetworks.org/ (2017)
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| 10 |
The study of optional realization of the French negative particle (ne) on Twitter: Is Sociolinguistics compatible with the Big Data?
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In: New Ways of Analyzing Variation 46 (NWAV46) ; https://hal.inria.fr/hal-01676770 ; New Ways of Analyzing Variation 46 (NWAV46), Nov 2017, Madison, United States (2017)
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| 11 |
Optional realisation of the French negative particle (ne) on Twitter: Can big data reveal new sociolinguistic patterns?
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In: CCS 2017 - Conference on Complex Systems ; https://hal.inria.fr/hal-01675038 ; CCS 2017 - Conference on Complex Systems , Sep 2017, Cancun, Mexico ; http://ccs17.unam.mx/ (2017)
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How social, economic and demographic forces shape linguistic variation on Twitter
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In: POPLANG 2017 - Workshop Population effects on languages: Modelling population dynamics and language transmission from the perspective of language learning, contact and change ; https://hal.inria.fr/hal-01675037 ; POPLANG 2017 - Workshop Population effects on languages: Modelling population dynamics and language transmission from the perspective of language learning, contact and change, Nov 2017, Lyon, France (2017)
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| 13 |
Optional realization of the French negative particule (ne) on Twitter: Can big data reveal new sociolinguistic patterns?
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In: ICLAVE 9 2017 - International Conference on Language Variation in Europe ; https://hal.inria.fr/hal-01456302 ; ICLAVE 9 2017 - International Conference on Language Variation in Europe, Jun 2017, Malaga, Spain ; http://www.iclave9.uma.site/ (2017)
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La notion de réseau social en sociolinguistique computationnelle
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In: https://halshs.archives-ouvertes.fr/halshs-01455137 ; 2016 (2016)
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| 15 |
Dialectal Characterization of Linguistics Variability on Twitter
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In: Data Driven Approach to Network and Language ; https://hal.archives-ouvertes.fr/hal-01410245 ; Data Driven Approach to Network and Language, May 2016, Lyon, France ; https://project.inria.fr/netspringlyon/3-workshops-on-network-sciences/workshop-on-data-driven-approach-to-networks-and-linguistic/ (2016)
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Caractérisation dialectale de variabilité linguistique sur Twitter
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In: LANGUAGE, COGNITION AND SOCIETY (AFLiCo 6) ; https://hal.inria.fr/hal-01134428 ; LANGUAGE, COGNITION AND SOCIETY (AFLiCo 6), May 2015, Grenoble, France (2015)
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| 17 |
Sociolinguistique et sciences cognitives: l’individu, le collectif et le réseau
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In: Journées FLORaL-PFC 2015 : la base de données Phonologie du Français Contemporain dans le champ phonologique ; https://hal.inria.fr/hal-01242405 ; Journées FLORaL-PFC 2015 : la base de données Phonologie du Français Contemporain dans le champ phonologique, Dec 2015, Paris, France (2015)
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| 18 |
Social, geographical and linguistic structure of the French speaking Twitter community
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In: International Conference on Network Science (NetSci2015) ; https://hal.inria.fr/hal-01136306 ; International Conference on Network Science (NetSci2015), Jun 2015, Zaragoza, Spain (2015)
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Dialectal characterization of linguistics variability on Twitter
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In: 1st International Conference on Twitter for Research ; https://hal.inria.fr/hal-01134441 ; 1st International Conference on Twitter for Research, Apr 2015, Lyon, France (2015)
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Dialectal characterization of linguistics variability on Twitter
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In: INTERNATIONAL CONFERENCE ON COMPUTATIONAL SOCIAL SCIENCE (ICCSS 2015) ; https://hal.inria.fr/hal-01134402 ; INTERNATIONAL CONFERENCE ON COMPUTATIONAL SOCIAL SCIENCE (ICCSS 2015), Jun 2015, Helsinki, Finland (2015)
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