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 leveling 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.
Jian Zhu and David Jurgens. 2021.The structure of online social networks modulates the rate of lexical change. InProceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 2201–2218, Online. Association for Computational Linguistics.
@inproceedings{zhu-jurgens-2021-structure, title = "The structure of online social networks modulates the rate of lexical change", author = "Zhu, Jian and Jurgens, David", editor = "Toutanova, Kristina and Rumshisky, Anna and Zettlemoyer, Luke and Hakkani-Tur, Dilek and Beltagy, Iz and Bethard, Steven and Cotterell, Ryan and Chakraborty, Tanmoy and Zhou, Yichao", booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies", month = jun, year = "2021", address = "Online", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2021.naacl-main.178/", doi = "10.18653/v1/2021.naacl-main.178", pages = "2201--2218", 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 leveling 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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%0 Conference Proceedings%T The structure of online social networks modulates the rate of lexical change%A Zhu, Jian%A Jurgens, David%Y Toutanova, Kristina%Y Rumshisky, Anna%Y Zettlemoyer, Luke%Y Hakkani-Tur, Dilek%Y Beltagy, Iz%Y Bethard, Steven%Y Cotterell, Ryan%Y Chakraborty, Tanmoy%Y Zhou, Yichao%S Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies%D 2021%8 June%I Association for Computational Linguistics%C Online%F zhu-jurgens-2021-structure%X 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 leveling 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.%R 10.18653/v1/2021.naacl-main.178%U https://aclanthology.org/2021.naacl-main.178/%U https://doi.org/10.18653/v1/2021.naacl-main.178%P 2201-2218
[The structure of online social networks modulates the rate of lexical change](https://aclanthology.org/2021.naacl-main.178/) (Zhu & Jurgens, NAACL 2021)
Jian Zhu and David Jurgens. 2021.The structure of online social networks modulates the rate of lexical change. InProceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 2201–2218, Online. Association for Computational Linguistics.