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.
Authors
- Vidya Setlur (ORCID: https://orcid.org/0000-0003-3722-406X)
- Michael Correll (ORCID: https://orcid.org/0000-0001-7902-3907)
- Zoe
- Matthew Brehmer
Institutions
- University of Waterloo (CA)
- McGraw-Hill Education (United States) (US)
- Tableau Software (United States) (US)
- Universidad del Noreste (MX)
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