@inproceedings{smirnov-2024-echoes,
    title = "The Echoes of the {\textquoteleft}{I}': Tracing Identity with Demographically Enhanced Word Embeddings",
    author = "Smirnov, Ivan",
    editor = "Klamm, Christopher  and
      Lapesa, Gabriella  and
      Ponzetto, Simone Paolo  and
      Rehbein, Ines  and
      Sen, Indira",
    booktitle = "Proceedings of the 4th Workshop on Computational Linguistics for the Political and Social Sciences: Long and short papers",
    month = sep,
    year = "2024",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2024.cpss-1.9/",
    pages = "112--118",
    abstract = "Identity is one of the most commonly studied constructs in social science. However, despite extensive theoretical work on identity, there remains a need for additional empirical data to validate and refine existing theories. This paper introduces a novel approach to studying identity by enhancing word embeddings with socio-demographic information. As a proof of concept, we demonstrate that our approach successfully reproduces and extends established findings regarding gendered self-views. Our methodology can be applied in a wide variety of settings, allowing researchers to tap into a vast pool of naturally occurring data, such as social media posts. Unlike similar methods already introduced in computer science, our approach allows for the study of differences between social groups. This could be particularly appealing to social scientists and may encourage the faster adoption of computational methods in the field."
}