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A comparative analysis of user attitudes towards ICO and IEO in blockchain projects: insights from social media big data

Authors
Zhao, ShengjuanLim, Gyoogun
Issue Date
Aug-2024
Publisher
Inderscience Publishers
Keywords
blockchain; big data; token issuance; initial coin offering; ICO; initial exchange offering; IEO
Citation
International Journal of Data Mining, Modelling and Management, v.16, no.3, pp 245 - 267
Pages
23
Indexed
SCOPUS
ESCI
Journal Title
International Journal of Data Mining, Modelling and Management
Volume
16
Number
3
Start Page
245
End Page
267
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/195171
DOI
10.1504/IJDMMM.2024.140539
ISSN
1759-1163
1759-1171
Abstract
This study conducts a comparative analysis of two popular crowdfunding methods in the blockchain market, the initial coin offering (ICO) and the initial exchange offering (IEO) models. Using project names as keywords, we collected and analysed big data, applying techniques such as TF-IDF, LDA, social network analysis, and sentiment analysis. Our findings show that the attitude of target groups towards ICO and IEO projects is not significantly different, although IEO targets exhibit more interest in entertainment-related topics. Social network analysis reveals that the ICO target group is more sensitive to popular elements, such as pop singers, while the IEO target group is more interested in soccer competitions. Both projects show a strong interest in the US election. Our study suggests that IEO, as an upgraded financing model of ICO, does not enjoy high levels of trust from the market crowd. By identifying the preferences of the target groups for both models through multiple analyses, we recommend that these preferences be taken into consideration to improve the efficiency of targeted marketing.
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