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Status已发表Published
TitleAn empirical analysis of emoji usage on Twitter
Creator
Date Issued2019-09-19
Source PublicationIndustrial Management and Data Systems
ISSN0263-5577
Volume119Issue:8Pages:1748-1763
Abstract

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.

KeywordData mining Emoji Empirical analysis Social media Twitter
DOI10.1108/IMDS-01-2019-0001
URLView source
Indexed BySCIE ; SSCI
Language英语English
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Interdisciplinary Applications ; Engineering, Industrial
WOS IDWOS:000487074800011
Scopus ID2-s2.0-85072109124
Citation statistics
Cited Times:24[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/10968
CollectionResearch outside affiliated institution
Corresponding AuthorLi, Mengdi
Affiliation
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
Recommended Citation
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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