Papers by Julia Watson

3 papers
Do language models practice what they preach? Examining language ideologies about gendered language reform encoded in LLMs (2025.coling-main)

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Challenge: Language ideologies are evaluative ideas or beliefs about language, such as ideas about what is "correct", "natural" or "articulate".
Approach: They use gender-neutral variants more often when more explicit metalinguistic context is provided.
Outcome: The findings show that language ideologies in LLMs can vary, which may be unexpected to users.
What social attitudes about gender does BERT encode? Leveraging insights from psycholinguistics (2023.acl-long)

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Challenge: Much research has focused on evaluating whether large language models encode stereotypical/harmful associations.
Approach: They propose to use two datasets from human experiments to examine how word preferences in a large language model reflect social attitudes about gender.
Outcome: The language model BERT takes into account factors that shape human lexical choice of such language, but may not weigh those factors in the same way people do.
Investigating Online Community Engagement through Stancetaking (2023.findings-emnlp)

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Challenge: Large-scale computational work on stancetaking has explored community similarities in their preferences for stance markers without considering the stance-relevant properties of the contexts in which stance marker use is carried out.
Approach: They propose to use stance-relevant properties of Reddit communities to capture community identity patterns distinct from textual or marker similarity measures.
Outcome: The proposed representations capture community identity patterns distinct from textual or marker similarity measures and relate them to broader inter- and intra-community engagement patterns.

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