You Write like You Eat: Stylistic Variation as a Predictor of Social Stratification. Basile, A., Gatt, A., & Nissim, M. In Korhonen, A., Traum, D., & Màrquez, L., editors, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 2583–2593, Florence, Italy, July, 2019. Association for Computational Linguistics.
You Write like You Eat: Stylistic Variation as a Predictor of Social Stratification [link]Paper  doi  abstract   bibtex   
Inspired by Labov's seminal work on stylisticvariation as a function of social stratification,we develop and compare neural models thatpredict a person's presumed socio-economicstatus, obtained through distant supervision,from their writing style on social media. Thefocus of our work is on identifying the mostimportant stylistic parameters to predict socio-economic group. In particular, we show theeffectiveness of morpho-syntactic features aspredictors of style, in contrast to lexical fea-tures, which are good predictors of topic
@inproceedings{basile-etal-2019-write,
    title = "You Write like You Eat: Stylistic Variation as a Predictor of Social Stratification",
    author = "Basile, Angelo  and
      Gatt, Albert  and
      Nissim, Malvina",
    editor = "Korhonen, Anna  and
      Traum, David  and
      M{\`a}rquez, Llu{\'\i}s",
    booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P19-1246",
    doi = "10.18653/v1/P19-1246",
    pages = "2583--2593",
    abstract = "Inspired by Labov{'}s seminal work on stylisticvariation as a function of social stratification,we develop and compare neural models thatpredict a person{'}s presumed socio-economicstatus, obtained through distant supervision,from their writing style on social media. Thefocus of our work is on identifying the mostimportant stylistic parameters to predict socio-economic group. In particular, we show theeffectiveness of morpho-syntactic features aspredictors of style, in contrast to lexical fea-tures, which are good predictors of topic",
}

Downloads: 0