@inproceedings{noble-etal-2021-semantic,
title = "Semantic shift in social networks",
author = "Noble, Bill and
Sayeed, Asad and
Fern{\'a}ndez, Raquel and
Larsson, Staffan",
editor = "Ku, Lun-Wei and
Nastase, Vivi and
Vuli{\'c}, Ivan",
booktitle = "Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.starsem-1.3",
doi = "10.18653/v1/2021.starsem-1.3",
pages = "26--37",
abstract = "Just as the meaning of words is tied to the communities in which they are used, so too is semantic change. But how does lexical semantic change manifest differently across different communities? In this work, we investigate the relationship between community structure and semantic change in 45 communities from the social media website Reddit. We use distributional methods to quantify lexical semantic change and induce a social network on communities, based on interactions between members. We explore the relationship between semantic change and the clustering coefficient of a community{'}s social network graph, as well as community size and stability. While none of these factors are found to be significant on their own, we report a significant effect of their three-way interaction. We also report on significant word-level effects of frequency and change in frequency, which replicate previous findings.",
}
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<abstract>Just as the meaning of words is tied to the communities in which they are used, so too is semantic change. But how does lexical semantic change manifest differently across different communities? In this work, we investigate the relationship between community structure and semantic change in 45 communities from the social media website Reddit. We use distributional methods to quantify lexical semantic change and induce a social network on communities, based on interactions between members. We explore the relationship between semantic change and the clustering coefficient of a community’s social network graph, as well as community size and stability. While none of these factors are found to be significant on their own, we report a significant effect of their three-way interaction. We also report on significant word-level effects of frequency and change in frequency, which replicate previous findings.</abstract>
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%0 Conference Proceedings
%T Semantic shift in social networks
%A Noble, Bill
%A Sayeed, Asad
%A Fernández, Raquel
%A Larsson, Staffan
%Y Ku, Lun-Wei
%Y Nastase, Vivi
%Y Vulić, Ivan
%S Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F noble-etal-2021-semantic
%X Just as the meaning of words is tied to the communities in which they are used, so too is semantic change. But how does lexical semantic change manifest differently across different communities? In this work, we investigate the relationship between community structure and semantic change in 45 communities from the social media website Reddit. We use distributional methods to quantify lexical semantic change and induce a social network on communities, based on interactions between members. We explore the relationship between semantic change and the clustering coefficient of a community’s social network graph, as well as community size and stability. While none of these factors are found to be significant on their own, we report a significant effect of their three-way interaction. We also report on significant word-level effects of frequency and change in frequency, which replicate previous findings.
%R 10.18653/v1/2021.starsem-1.3
%U https://aclanthology.org/2021.starsem-1.3
%U https://doi.org/10.18653/v1/2021.starsem-1.3
%P 26-37
Markdown (Informal)
[Semantic shift in social networks](https://aclanthology.org/2021.starsem-1.3) (Noble et al., *SEM 2021)
ACL
- Bill Noble, Asad Sayeed, Raquel Fernández, and Staffan Larsson. 2021. Semantic shift in social networks. In Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, pages 26–37, Online. Association for Computational Linguistics.