Writing Assistants Should Model Social Factors of Language

2023/03/28 by Vivek Kulkarni, Kulkarni, Vivek, Vipul Raheja +1
Computer Science · #AI in Service Interactions #Computation and Language (cs.CL) #FOS: Computer and information sciences #H.5.0 #Human-Computer Interaction (cs.HC) #I.2.7 #K.4.2 #Recommender Systems and Techniques #Topic Modeling

paper · pdf · doi:10.48550/arxiv.2303.16275

openalex publication_date 2023/03/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Intelligent writing assistants powered by large language models (LLMs) are more popular today than ever before, but their further widespread adoption is precluded by sub-optimal performance. In this position paper, we argue that a major reason for this sub-optimal performance and adoption is a singular focus on the information content of language while ignoring its social aspects. We analyze the different dimensions of these social factors in the context of writing assistants and propose their incorporation into building smarter, more effective, and truly personalized writing assistants that would enrich the user experience and contribute to increased user adoption.

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