Feb. 6, 2024, 5:54 a.m. | Myra Cheng Kristina Gligoric Tiziano Piccardi Dan Jurafsky

cs.CL updates on arXiv.org arxiv.org

Anthropomorphism, or the attribution of human-like characteristics to non-human entities, has shaped conversations about the impacts and possibilities of technology. We present AnthroScore, an automatic metric of implicit anthropomorphism in language. We use a masked language model to quantify how non-human entities are implicitly framed as human by the surrounding context. We show that AnthroScore corresponds with human judgments of anthropomorphism and dimensions of anthropomorphism described in social science literature. Motivated by concerns of misleading anthropomorphism in computer science discourse, …

attribution computational context conversations cs.ai cs.cl cs.cy human human-like impacts language language model show technology

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