Numerical data dominates the discourse around K-pop. In order to get a fuller view, we need to contextualize those numbers with other kinds of information in order to understand K-pop’s worldwide appeal.
With the focus on awards, streams, views and tweets, numbers lead the way we talk about K-pop. 2020 has seen K-pop venture into new territory, with high appearances on Billboard charts, high-profile performances and unprecedented winning of awards. K-pop fans urge others to view and stream to increase the visibility of their favorite groups. Scholars also use numerical data to study the use of social media and understand the spread of K-pop globally. Some see research based on numerical data as the gold standard: “Quantitative research is more preferred over qualitative research because it is more scientific, objective, fast, focused and acceptable” (Formplus Blog).
However, the hyperfocus on numerical data can skew our understanding of K-pop. Numbers are not as objective as many think. Data can be manipulated and misrepresented. Even when the data is valid, it only presents part of the story. Harry Gough notes: “Sometimes we are so hypnotized by data, we gaze past our own humanity. To get the whole picture, you need the story behind the data – the ‘so what?’, otherwise all you have is data. Which is why qualitative data can be so valuable.”
Twitter data featured in Tamar Herman‘s “10 Years On, Twitter is Shaping the Spread of K-pop,” shows the strengths of numerical data, but also the need for additional perspectives to understand the whole story of K-pop’s global spread through social media. Twitter Korea “tracked data from the past year between July 1, 2019 and June 30, 2020” and “added it to its analysis of the past decade’s growth,” which includes data from Twitter usage from 2010-2020 (Herman). The long-term Twitter usage data reveals a pattern of increase in Twitter conversations related to K-pop. Such conversations show the domination of boy groups, the increase of usage of Twitter by K-pop artists and the prominence of certain artists in certain countries (Herman).
At the same time, the data has limits, meaning there are things it does not take into account. This data covers only Twitter. While it is a major social media platform, there are many K-pop fans on Twitter who never participate in conversations. Other K-pop fans intentionally avoid Twitter in favor of other social media platforms, such as Instagram, YouTube, Tumblr and private Facebook groups. These K-pop fans are not captured in this data, so what it tells us pertains only to a certain segment of K-pop fans. If we take its conclusions as representative of most or all K-pop fans, we could be misrepresenting the data and what it actually tells us.
Moreover, this data does not tell us why boy groups dominate or why certain artists are popular in certain countries. We need non-numerical data, which could add to the numerical data by understanding “underlying reasons, opinions and motivations” (Gough). Mentions are just that: mentions. They do not tell us why something is being mentioned. Asking individuals about the motivations behind their actions, their attitudes and opinions may not be generalizable, but it helps to explain the numbers.
With the rise of research in K-pop, we need multiple methods to comprehensively understand it.
Formplus Blog. “15 Reasons to Choose Quantitative over Qualitative Research.” Formplus Blog. 25 Jun. https://www.formpl.us/blog/quantitative-qualitative-research#:~:text=Quantitative%20research%20is%20more%20preferred,and%20approach%20to%20the%20problem (Accessed 23 Sept 2020).
Harry Gough. “Qualitative vs Quantitative Research: What Is It and When Should You Use It?” qualtrics. 16 Apr 2020. https://www.qualtrics.com/blog/qualitative-research/ (Accessed 23 Sept 2020).
Tamar Herman. “10 Years On, Twitter is Shaping the Spread of K-pop.” Forbes. 21 Sept 2020. https://www.forbes.com/sites/tamarherman/2020/09/21/10-years-on-twitter-is-shaping-the-spread-of-k-pop/#5795c78399a7 (23 Sept 2020).
The Quantification of K-pop by Crystal S. Anderson is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.