A Study of Fandom Crowdsourcing Method Using Big Data

Abstract

The fourth industrial revolution is the Hyper-Connected and Now era. K-pop’s music video, which communicates in real time through social media, serves as a medium to communicate both auditory and visual. This study analyzes the current status of K-Pop idols in social media and studies models that show Fandom’s favorite products. In this study, we analyzed the buzz data of Bangtan Boys (BTS) of K-Pop group with many fans and influences on social networks using text mining and Opinion mining technology. Analysis of Google Shopping keywords from 2013 to 2017 showed that many keywords such as BTS shirts, BTS phone cases, and BTS sweat-shirts were searched, which means that there are plenty of fandoms to buy BTS products with albums. The commercialization strategy of BTS is mainly to produce products focusing on sweater, hood and phone cases with album release, and to dissolve the produced products naturally in the music video of BTS like PPL and to expose their own social media channels (Twitter, Face North, and V apps).