Investigating socio-cultural behavior of users reflected in different social channels on K-pop

Yonghwan Kim, Dahee Lee, Jung Eun Hahm, Namgi Han, Min Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we investigated the socio-cultural behavior of users reflected in the two different social media channels, YouTube and Twitter. We conducted the comparative analysis of the networks generated from the two channels. The relationship we set for each network is the relatedness on YouTube and the co-links on Twitter. From the results, we revealed that the social media influenced the distinct socio-cultural behaviors of their users. Specifically, Twitter network better showed the actual consumption of contents in the field of the k-pop culture than YouTube. From this study, we contributed to offer a novel approach for exploring the socio-cultural behavior of users on the social media.

Original languageEnglish
Title of host publicationWWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web
PublisherAssociation for Computing Machinery, Inc
Pages325-326
Number of pages2
ISBN (Electronic)9781450327459
DOIs
Publication statusPublished - 2014 Apr 7
Event23rd International Conference on World Wide Web, WWW 2014 - Seoul, Korea, Republic of
Duration: 2014 Apr 72014 Apr 11

Publication series

NameWWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web

Other

Other23rd International Conference on World Wide Web, WWW 2014
CountryKorea, Republic of
CitySeoul
Period14/4/714/4/11

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software

Cite this

Kim, Y., Lee, D., Hahm, J. E., Han, N., & Song, M. (2014). Investigating socio-cultural behavior of users reflected in different social channels on K-pop. In WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web (pp. 325-326). (WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web). Association for Computing Machinery, Inc. https://doi.org/10.1145/2567948.2577324