The Data-Wink Ratio: Emoji Encoder for Generating Semantically-Resonant Unit Charts

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 gen-erates 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 com-bine 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 do not identify as data analysts. Emoji-based unit charts can offer contextual cues related to the data at the center of a conversation on platforms where emoji-rich communication is typical.

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Publication Details

Published
2024-10-13
DOI
https://doi.org/10.1109/gen4ds63889.2024.00005
Citations
1
Primary Topic
Speech and dialogue systems
Type
article
Field-Weighted Citation Impact
0.35
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article

The Data-Wink Ratio: Emoji Encoder for Generating Semantically-Resonant Unit Charts

Vidya Setlur, Michael Correll, Zoe, Matthew Brehmer
1 citations
Speech and dialogue systems
0.35
article

The Data-Wink Ratio: Emoji Encoder for Generating Semantically-Resonant Unit Charts

Vidya Setlur, Michael Correll, Zoe, Matthew Brehmer
article en
1 citations

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 gen-erates 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 com-bine 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 do not identify as data analysts. Emoji-based unit charts can offer contextual cues related to the data at the center of a conversation on platforms where emoji-rich communication is typical.

University of Waterloo (CA), McGraw-Hill Education (United States) (US), Tableau Software (United States) (US), Universidad del Noreste (MX)
Openalex Percentile: Top 31%
Speech and dialogue systems
0.35
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