How to Do Things without Words: Modeling Semantic Drift of Emoji
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Abstract (arXiv)
Emoji have become a significant part of our informal textual communication. Previous work addressing the societal and linguistic functions of emoji overlook the evolving meaning of the symbol. This evolution could be addressed through the framework of semantic drifts. In this paper we model and analyze the semantic drift of emoji and discuss the features that may be contributing to the drift, some are unique to emoji and some are more general.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 11 of its 34 references that are in the map. First posted on arXiv 8 Oct 2021.
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11 of 34 references.
References · 11
- 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,462
- 2017Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypescited by 251
- 2016Diachronic Word Embeddings Reveal Statistical Laws of Semantic Changecited by 219
- 2017Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasmcited by 117
- 2014Statistically Significant Detection of Linguistic Changecited by 82
- 2016Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Changecited by 63
- 2016emoji2vec: Learning Emoji Representations from their Descriptioncited by 28
- 2019Studying Cultural Differences in Emoji Usage across the East and the Westcited by 8
- 2017Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Userscited by 5
- 2018Exploring Emoji Usage and Prediction Through a Temporal Variation Lenscited by 4
- 2021Semantic Journeys: Quantifying Change in Emoji Meaning from 2012-2018cited by 4
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