Semantic shift in social networks
| Authors |
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| Publication date | 2021 |
| Host editors |
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| Book title | The 10th Conference on Lexical and Computational Semantics |
| Book subtitle | *SEM 2021 : proceedings of the conference : August 5-6, 2021, Bangkok, Thailand (online) |
| ISBN (electronic) |
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| Event | 10th Conference on Lexical and Computational Semantics |
| Pages (from-to) | 26-37 |
| Publisher | Stroudsburg, PA: The Association for Computational Linguistics |
| Organisations |
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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.
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| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.18653/v1/2021.starsem-1.3 |
| Downloads |
2021.starsem-1.3
(Final published version)
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