The Data-Wink Ratio: Emoji Encoder for Generating Semantically-Resonant Unit Charts
Matthew Brehmer, Vidya Setlur, Zoe, Michael Correll

TL;DR
This paper introduces the Emoji Encoder, a tool that creates emoji-based unit charts to make data insights more engaging and accessible in text-based communication platforms.
Contribution
It presents a novel emoji recommendation system for generating semantic unit charts that enhance data storytelling in informal communication channels.
Findings
Emoji Encoder generates relevant emoji sets for data categories.
Emoji-based charts can effectively communicate data trends and comparisons.
The approach facilitates engaging data sharing in text-centric environments.
Abstract
Communicating data insights in an accessible and engaging manner to a broader audience remains a significant challenge. To address this problem, we introduce the Emoji Encoder, a tool that generates a set of emoji recommendations for the field and category names appearing in a tabular dataset. The selected set of emoji encodings can be used to generate configurable unit charts that combine plain text and emojis as word-scale graphics. These charts can serve to contrast values across multiple quantitative fields for each row in the data or to communicate trends over time. Any resulting chart is simply a block of text characters, meaning that it can be directly copied into a text message or posted on a communication platform such as Slack or Teams. This work represents a step toward our larger goal of developing novel, fun, and succinct data storytelling experiences that engage those who…
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Taxonomy
TopicsSpeech and dialogue systems · Digital Communication and Language · Advanced Text Analysis Techniques
