MilaNLProc/survey-language-technologies

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@inproceedings{bassignana-etal-2025-ai,
    title = "The {AI} Gap: How Socioeconomic Status Affects Language Technology Interactions",
    author = "Bassignana, Elisa  and
      Curry, Amanda Cercas  and
      Hovy, Dirk",
    editor = "Che, Wanxiang  and
      Nabende, Joyce  and
      Shutova, Ekaterina  and
      Pilehvar, Mohammad Taher",
    booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.acl-long.914/",
    pages = "18647--18664",
    ISBN = "979-8-89176-251-0",
    abstract = "Socioeconomic status (SES) fundamentally influences how people interact with each other and, more recently, with digital technologies like large language models (LLMs). While previous research has highlighted the interaction between SES and language technology, it was limited by reliance on proxy metrics and synthetic data. We survey 1,000 individuals from `diverse socioeconomic backgrounds' about their use of language technologies and generative AI, and collect 6,482 prompts from their previous interactions with LLMs. We find systematic differences across SES groups in language technology usage (i.e., frequency, performed tasks), interaction styles, and topics. Higher SES entail a higher level of abstraction, convey requests more concisely, and topic

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dataset_licence({ "id": "MilaNLProc/survey-language-technologies" })
signal: "permissive"
stated_licence: "mit"
sources: 0