Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users

Based on a large data set of emoji using behavior collected from smartphone users over the world, this paper investigates gender-specific usage of emojis. We present various interesting findings that evidence a considerable difference in emoji usage by female and male users. Such a difference is sig...

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Bibliographic Details
Published in:arXiv.org 2018-04
Main Authors: Chen, Zhenpeng, Lu, Xuan, Ai, Wei, Li, Huoran, Qiaozhu Mei, Liu, Xuanzhe
Format: Article
Language:English
Subjects:
Algorithms
Emotional icons
Gender
Machine learning
Smartphones
Online Access:Get full text
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Summary:Based on a large data set of emoji using behavior collected from smartphone users over the world, this paper investigates gender-specific usage of emojis. We present various interesting findings that evidence a considerable difference in emoji usage by female and male users. Such a difference is significant not just in a statistical sense; it is sufficient for a machine learning algorithm to accurately infer the gender of a user purely based on the emojis used in their messages. In real world scenarios where gender inference is a necessity, models based on emojis have unique advantages over existing models that are based on textual or contextual information. Emojis not only provide language-independent indicators, but also alleviate the risk of leaking private user information through the analysis of text and metadata.
ISSN:2331-8422
DOI:10.48550/arxiv.1705.05546