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题名An empirical analysis of emoji usage on Twitter
作者
发表日期2019-09-19
发表期刊Industrial Management and Data Systems
ISSN/eISSN0263-5577
卷号119期号:8页码:1748-1763
摘要

Purpose: Emoji has become an essential component of any digital communication and its importance can be attested to by its sustained popularity and widespread use. However, research in Emojis is rarely to be seen due to the lack of data at a greater scale. The purpose of this paper is to systematically analyse and compare the usage of Emojis in a cross-cultural manner. Design/methodology/approach: This research conducted an empirical analysis using a large-scale, cross-regional emoji usage data set from Twitter, a platform where the limited 140 characters allowance has made it essential for the inclusion of emojis within tweets. The extremely large textual data set covers a period of only two months, but the 673m tweets authored by more than 2,081,542 unique users is a sufficiently large sample for the authors to yield significant results. Findings: This research discovered that the categories and frequencies of Emojis communicated by users can provide a rich source of data to understand cultural differences between Twitter users from a large range of demographics. This research subsequently demonstrated the preferential use of Emojis complies with Hofstede’s Cultural Dimensions Model, in which different representations of demographics and culture within countries present significantly different use of Emojis to communicate emotions. Originality/value: This study provides a robust example of how to strategically conduct research using large-scale emoji data to pursue research questions previously difficult. To the best of authors’ knowledge, the present study pioneers the first systematic analysis and comparison of the usage of emojis on Twitter across different cultures; it is the largest, in terms of the scale study of emoji usage to-date.

关键词Data mining Emoji Empirical analysis Social media Twitter
DOI10.1108/IMDS-01-2019-0001
URL查看来源
收录类别SCIE ; SSCI
语种英语English
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Interdisciplinary Applications ; Engineering, Industrial
WOS记录号WOS:000487074800011
Scopus入藏号2-s2.0-85072109124
引用统计
被引频次:24[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/10968
专题个人在本单位外知识产出
通讯作者Li, Mengdi
作者单位
1.University of Nottingham,Ningbo,China
2.NVIDIA Technology Centre,University of Nottingham,Ningbo,China
3.Nottingham University Business School China,University of Nottingham,Ningbo,China
4.NVIDIA Technology Centre,Singapore
推荐引用方式
GB/T 7714
Li, Mengdi,Ch'ng, Eugene,Chong, Alain Yee Loonget al. An empirical analysis of emoji usage on Twitter[J]. Industrial Management and Data Systems, 2019, 119(8): 1748-1763.
APA Li, Mengdi, Ch'ng, Eugene, Chong, Alain Yee Loong, & See, Simon. (2019). An empirical analysis of emoji usage on Twitter. Industrial Management and Data Systems, 119(8), 1748-1763.
MLA Li, Mengdi,et al."An empirical analysis of emoji usage on Twitter". Industrial Management and Data Systems 119.8(2019): 1748-1763.
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