Semantic Journeys: Quantifying Change in Emoji Meaning from 2012-2018
arXiv:2105.00846
Abstract
The semantics of emoji has, to date, been considered from a static perspective. We offer the first longitudinal study of how emoji semantics changes over time, applying techniques from computational linguistics to six years of Twitter data. We identify five patterns in emoji semantic development and find evidence that the less abstract an emoji is, the more likely it is to undergo semantic change. In addition, we analyse select emoji in more detail, examining the effect of seasonality and world events on emoji semantics. To aid future work on emoji and semantics, we make our data publicly available along with a web-based interface that anyone can use to explore semantic change in emoji.
References in corpus (10)
- Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes
- Sentiment of Emojis
- Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users
- Diachronic word embeddings and semantic shifts: a survey
- Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change
- Survey of Computational Approaches to Lexical Semantic Change
- Frequency patterns of semantic change: Corpus-based evidence of a near-critical dynamics in language change
- EmojiNet: An Open Service and API for Emoji Sense Discovery
- Temporal Analysis of Language through Neural Language Models
- GASC: Genre-Aware Semantic Change for Ancient Greek