The structure of online social networks modulates the rate of lexical change

• URL: http://arxiv.org/abs/2104.05010v1
• Date: Sun, 11 Apr 2021 13:06:28 GMT
• Title: The structure of online social networks modulates the rate of lexical change
• Authors: Jian Zhu and David Jurgens
• Abstract summary: We conduct a large-scale analysis of over 80k neologisms in 4420 online communities across a decade. Using Poisson regression and survival analysis, our study demonstrates that the community's network structure plays a significant role in lexical change.
• Score: 7.4037154707453965
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: New words are regularly introduced to communities, yet not all of these words persist in a community's lexicon. Among the many factors contributing to lexical change, we focus on the understudied effect of social networks. We conduct a large-scale analysis of over 80k neologisms in 4420 online communities across a decade. Using Poisson regression and survival analysis, our study demonstrates that the community's network structure plays a significant role in lexical change. Apart from overall size, properties including dense connections, the lack of local clusters and more external contacts promote lexical innovation and retention. Unlike offline communities, these topic-based communities do not experience strong lexical levelling despite increased contact but accommodate more niche words. Our work provides support for the sociolinguistic hypothesis that lexical change is partially shaped by the structure of the underlying network but also uncovers findings specific to online communities.

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