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Computational detection of socioeconomic inequalities ; Détection computationnelle des inégalités socioéconomiques
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In: https://hal.archives-ouvertes.fr/tel-02459170 ; Artificial Intelligence [cs.AI]. Université de Lyon, 2020. English. ⟨NNT : 2020LYSEN001⟩ (2020)
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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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Location, Occupation, and Semantics Based Socioeconomic Status Inference on Twitter
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In: ICDMW 2018 - IEEE International Conference on Data Mining Workshops ; https://hal.inria.fr/hal-02061219 ; ICDMW 2018 - IEEE International Conference on Data Mining Workshops, Nov 2018, Singapore, Singapore. pp.1192-1199, ⟨10.1109/ICDMW.2018.00171⟩ (2018)
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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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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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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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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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