Name
Title | ||
|---|---|---|
Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users. |
Abstract | ||
|---|---|---|
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.
|
Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3178876.3186157 | WWW '18: The Web Conference 2018
Lyon
France
April, 2018 |
Keywords | Field | DocType |
Emojis, gender, user profiling, language-independent | World Wide Web,Contextual information,Emoji,Android (operating system),Inference,Computer science,User information | Conference |
ISBN | Citations | PageRank |
978-1-4503-5639-8 | 5 | 0.49 |
References | Authors | |
40 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhenpeng Chen | 1 | 35 | 6.65 |
| xuan lu | 2 | 162 | 12.01 |
| Wei Ai | 3 | 53 | 4.44 |
| Huoran Li | 4 | 83 | 5.52 |
| Qiaozhu Mei | 5 | 4395 | 207.09 |
| xuanzhe liu | 6 | 167 | 13.94 |