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Computer Science > Social and Information Networks

arXiv:1803.10738 (cs)
[Submitted on 28 Mar 2018]

Title:Self-Representation on Twitter Using Emoji Skin Color Modifiers

Authors:Alexander Robertson, Walid Magdy, Sharon Goldwater
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Abstract:Since 2015, it has been possible to modify certain emoji with a skin tone. The five different skin tones were introduced with the aim of representing more human diversity, but some commentators feared they might be used as a way to negatively represent other users/groups. This paper presents a quantitative analysis of the use of skin tone modifiers on emoji on Twitter, showing that users with darker-skinned profile photos employ them more often than users with lighter-skinned profile photos, and the vast majority of skin tone usage matches the color of a user's profile photo - i.e., tones represent the self, rather than the other. In the few cases where users do use opposite-toned emoji, we find no evidence of negative racial sentiment. Thus, the introduction of skin tones seems to have met the goal of better representing human diversity.
Comments: Accepted in ICWSM 2018
Subjects: Social and Information Networks (cs.SI)
Cite as: arXiv:1803.10738 [cs.SI]
  (or arXiv:1803.10738v1 [cs.SI] for this version)
  https://doi.org/10.48550/arXiv.1803.10738
Journal reference: Robertson A., W. Magdy, S. Goldwater. Self-Representation on Twitter Using Emoji Skin Color Modifiers. ICWSM 2018

Submission history

From: Walid Magdy [view email]
[v1] Wed, 28 Mar 2018 17:23:37 UTC (2,178 KB)
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