Media labeling versus the US disability community identity: a study of shifting cultural language
By Beth A. Haller, Bruce Dorries, J. Rahn. 2006
Subfields: Social Sciences & Humanities
How researchers see this paper
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In Social Sciences & Humanities
- Melissa Hall
- Douwe Kiela
- Rebecca Qian
- Melanie Kambadur
- Jude Fernandes
- Eric Michael Smith
- Candace Ross
- Eleonora Presani
Citations in the corpus
- “I’m sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor Dataset (2022, methodology): “, 2018), and since people references are prone to change over time (Smith, 1992; Galinsky et al., 2003; Haller et al., 2006; Zimman and Hayworth, 2020), we have taken inspiration from calls to make model evaluation more dynamic (Kiela et al.”
- "I'm sorry to hear that": finding bias in language models with a holistic descriptor dataset (2022, methodology): “…endless number of ways (Van Miltenburg et al., 2018), and since people references are prone to change over time (Smith, 1992; Galinsky et al., 2003; Haller et al., 2006; Zimman and Hayworth, 2020), we have taken inspiration from calls to make model evaluation more dynamic (Kiela et al., 2021;…”
- Representations of autism in Australian print media (2009, background): “Given the extent to which the media can influence understandings of disability (Auslander and Gold 1999 ; Haller, Dorries, and Rahn 2006 ; Pointon and Davies 1997 ; Shakespeare 1994 ; Sheridan 1999 ) we were alarmed by the lack of research into media representations of autism.”
- Perturbation Augmentation for Fairer NLP (2022, methodology): “We encouraged annotators to use these conventions, but they are unlikely to be uniformly applied, as human group references are prone to change over time (Smith, 1992; Galinsky et al., 2003; Haller et al., 2006; Zimman and Hayworth, 2020).”