TY - GEN
T1 - Analysis of News Data on ‘Super App’ Using Topic Modeling
AU - Han, Sujin
AU - Li, Xu
AU - Hwang, Hyesun
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Super apps are applications that allow users to use multiple services in a single app without switching to other apps. As they began to be perceived as a leading future-oriented platform in the industry, global enterprises who are joining this new mobile trend are increasing. In this regard, this study examines the consumers’ experience or issues on the platforms, since its evolution, by focusing on KakaoTalk, the characteristic super app in South Korea. For the purpose of this study, Latent Dirichlet Allocation (LDA) analysis was conducted on 4,782 news data that included KakaoTalk in the title, from 2010 to February 26, 2021. Considering the interpretability, nine topics were derived from the LDAvis, and each of the topics was specified as ‘industry’, ‘basic service’, ‘information service’, ‘entertainment’, ‘privacy protection’, ‘payment service’, ‘e-commerce’, ‘extra service’, and ‘police investigation’. Along with the basic chat services, consumers were found to be enjoying other diverse services including games, e-commerce, and online payment. However, consumers’ concerns for personal information were found to be high, in consideration to words, such as phishing/victim, in the topic of ‘privacy protection’. This exploratory study showed how KakaoTalk, the super app, is being discussed in Korean society. The study has identified the key functions of the super apps and provided the meaningful basis for the future direction of the app industry.
AB - Super apps are applications that allow users to use multiple services in a single app without switching to other apps. As they began to be perceived as a leading future-oriented platform in the industry, global enterprises who are joining this new mobile trend are increasing. In this regard, this study examines the consumers’ experience or issues on the platforms, since its evolution, by focusing on KakaoTalk, the characteristic super app in South Korea. For the purpose of this study, Latent Dirichlet Allocation (LDA) analysis was conducted on 4,782 news data that included KakaoTalk in the title, from 2010 to February 26, 2021. Considering the interpretability, nine topics were derived from the LDAvis, and each of the topics was specified as ‘industry’, ‘basic service’, ‘information service’, ‘entertainment’, ‘privacy protection’, ‘payment service’, ‘e-commerce’, ‘extra service’, and ‘police investigation’. Along with the basic chat services, consumers were found to be enjoying other diverse services including games, e-commerce, and online payment. However, consumers’ concerns for personal information were found to be high, in consideration to words, such as phishing/victim, in the topic of ‘privacy protection’. This exploratory study showed how KakaoTalk, the super app, is being discussed in Korean society. The study has identified the key functions of the super apps and provided the meaningful basis for the future direction of the app industry.
KW - Consumer experience
KW - Fintech
KW - KakaoTalk
KW - Platform industry
KW - Super app
UR - https://www.scopus.com/pages/publications/85144600388
U2 - 10.1007/978-3-031-19682-9_5
DO - 10.1007/978-3-031-19682-9_5
M3 - Conference contribution
AN - SCOPUS:85144600388
SN - 9783031196812
T3 - Communications in Computer and Information Science
SP - 33
EP - 39
BT - HCI International 2022 – Late Breaking Posters - 24th International Conference on Human-Computer Interaction, HCII 2022, Proceedings
A2 - Stephanidis, Constantine
A2 - Antona, Margherita
A2 - Ntoa, Stavroula
A2 - Salvendy, Gavriel
PB - Springer Science and Business Media Deutschland GmbH
T2 - 24th International Conference on Human-Computer Interaction, HCII 2022
Y2 - 26 June 2022 through 1 July 2022
ER -
