On the Context-Free Ambiguity of Emoji
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Abstract (arXiv)
Emojis come with prepacked semantics making them great candidates to create new forms of more accessible communications. Yet, little is known about how much of this emojis semantic is agreed upon by humans, outside of textual contexts. Thus, we collected a crowdsourced dataset of one-word emoji descriptions for 1,289 emojis presented to participants with no surrounding text. The emojis and their interpretations were then examined for ambiguity. We find that with 30 annotations per emoji, 16 emojis (1.2%) are completely unambiguous, whereas 55 emojis (4.3%) are so ambiguous that their descriptions are indistinguishable from randomly chosen descriptions. Most of studied emojis are spread out between the two extremes. Furthermore, investigating the ambiguity of different types of emojis, we find that an important factor is the extent to which an emoji has an embedded symbolical meaning drawn from an established code-book of symbols. We conclude by discussing design implications.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 9 of its 29 references that are in the map. First posted on arXiv 17 Jan 2022.
Builds on
9 of 29 references.
References · 9
- 2017Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasmcited by 118
- 2015Sentiment of Emojiscited by 32
- 2016emoji2vec: Learning Emoji Representations from their Descriptioncited by 28
- 2017EmojiNet: An Open Service and API for Emoji Sense Discoverycited by 7
- 2019I Stand With You: Using Emojis to Study Solidarity in Crisis Eventscited 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
- 2021Identity Signals in Emoji Do not Influence Perception of Factual Truth on Twittercited by 1
- 2021The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twittercited by 1
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Citing papers per year: 2023: 1; 2024: 1; 2025: 2.
4 papers.
- 2025The Prosody of Emojis1 Aug 2025
- 2025Irony in Emojis: A Comparative Study of Human and LLM Interpretation20 Jan 2025
- 2024Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation1 Apr 2024
- 2023A Cognitive Account of the Puzzle of Ideography29 Apr 2023