CYCLApr 20, 2018

Skin Tone Emoji and Sentiment on Twitter

arXiv:1805.00444v15 citations
Originality Synthesis-oriented
AI Analysis

This research addresses how new language elements reflect societal attitudes toward skin color and race, particularly relevant in an era of large-scale migrations.

The study analyzed geographic usage of skin tone emoji on Twitter, finding that country-level usage roughly matches resident population skin tones and revealing a global negative correlation between tweet sentiment and darker skin tones.

In 2015, the Unicode Consortium introduced five skin tone emoji that can be used in combination with emoji representing human figures and body parts. In this study, use of the skin tone emoji is analyzed geographically in a large sample of data from Twitter. It can be shown that values for the skin tone emoji by country correspond approximately to the skin tone of the resident populations, and that a negative correlation exists between tweet sentiment and darker skin tone at the global level. In an era of large-scale migrations and continued sensitivity to questions of skin color and race, understanding how new language elements such as skin tone emoji are used can help frame our understanding of how people represent themselves and others in terms of a salient personal appearance attribute.

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