Professor Robin Queen and a team of University of Michigan students and alumni recently published in the December 2024 issue of Language (volume 100 -- the centennial issue), the flagship journal of the Linguistic Society of America (LSA). Co-authors include Mathew Kramer (2022 Masters Alum), Jeonghwa Cho (2024 PhD Alum), and Julie E. Boland (U-M Professor of Psychology and Linguistics).
Title: Getting to know them: Effects of familiarity, identity, and modeling on the production of singular specific they
DOI: https://muse.jhu.edu/article/947039
Abstract: The English pronoun they is currently undergoing a rapid change, in that they is increasingly being used to refer to specific (named) individuals as a singular personal pronoun. Although it has been used with a singular, indefinite antecedent for centuries, singular specific they is relatively new and coincides with rising recognition of the fluidity of gender identity and expression. For many individuals, they/them pronouns fit their gender identity best. However, such individuals are at a high risk of being misgendered because this new usage of they is neither well established grammatically nor part of prescribed use. In two experiments, adults from across the United States created short written narratives about individuals of different gender presentations. We varied whether participants saw a pronoun in the stimuli and, if so, whether they saw they, he, or she. We found that singular specific they was used less than she/he and that they-usage increased for those who reported being more familiar with it and with the LGBTQ+ community more generally. We further found that images that appeared androgynous or nonbinary were more likely to elicit singular specific they than were images that appeared binary. Finally, we varied whether participants received brief information about the person that included singular specific they. This type of modeling led to dramatic increases in they-production overall, and increases were most robust for participants who reported higher familiarity. Overall, this research illustrates that characteristics tied to social experience, modeling, and visual cues to an individual's gender identity are highly informative for the production of singular specific they. More broadly, we illustrate that language-processing costs related to language production can be boosted for users and therefore can intervene in the likelihood of misgendering.*