## 6 Discussion
### Design Implications
#### 6.4.2 For Comment-Heavy Users: Contextual Translation and Reaction Matrix  
Comment-heavy users tend to be highly open and casual in expressing emotions, frequently introducing custom idioms to strengthen their bonds with fellow fans. A notable example is _Borahae_, which replaces the Korean phrase for \"I love you\" (_Saranghae_) with the word \"purple\" (_Bora_, meaning purple in Korean), referring to the signature color of the BTS random. Fans also use purple heart emojis () as a symbolic expression of affection for BTS (see Figure 6). This phenomenon is not restricted to K-pop: [PERSON]'s fans, for instance, often use honey or bee emojis (e.g., ), reflecting her nickname \"[PERSON]\", and [PERSON]'s fans have adopted the term \"Yuh\", derived from her distinctive pronunciation. Emojis, colors, slang, and chants collectively foster a sense of belonging and help shape random culture. Prior research on computer-mediated communication suggests that emoticons and emojis can enrich text-based interactions by compensating for the lack of nonverbal cues, thus conveying deeper cultural and emotional context [70; 71; 72]. Yet, when these expressions become commonplace among artists or core random members, newcomers--lacking familiarity with these references--may struggle to follow and engage with the content. This can diminish their overall experience and satisfaction with random services. Moreover, heavy users are typically intensive in both frequency and volume of activity [20; 52], and in our study, a small percentage of comment-heavy users produced 80% of the total comments. Consequently, the community atmosphere can become dominated by heavy users' random-specific slang and shared memes, making it difficult for newer fans to participate meaningfully. Further analysis was performed to identify and discuss group differences in emojis to deepen our understanding. Among the 100,400 comments posted by 2270 general users, 48.3% included the purple heart emoji, a widely recognized symbol of random culture. In contrast, 32 post-heavy users contributed 7551 comments, with a significantly higher purple heart usage rate of 71.9%. Similarly, 71 comment-heavy users were responsible for 96,814 comments, with 45.4% containing the purple heart. Although the comment-heavy group consists of only 71 individuals, they contributed approximately 21.5% of the total 200,765 comments. This indicates that a relatively small number of highly active users have a disproportionate influence on the overall comment landscape. These findings highlight the influential role of superfans in shaping the tone and symbolic language of online random spaces. However, because such symbolic expressions--like the purple heart emoji--are often developed and reinforced by a small but vocal segment of users, newcomers, who make up a larger proportion of the user base, may struggle to intuitively understand these culturally embedded meanings. This can create subtle communication barriers and hinder inclusive participation within random communities. To address this issue, platforms could implement contextual translation features (see Figure 8) that explain key random idioms or slang when users hover over or select certain words. In doing so, they can lower the barrier to entry for newer fans and encourage richer feedback, thereby boosting interaction across the fan community. Comment-heavy users also exhibit higher emotional expressiveness compared to post-heavy users, but many social media-based fan platforms still provide only limited ways to convey emotion, such as \"Like\" buttons or text-based replies. Facebook introduced a broader set of reaction buttons (Love, Haha, Wow, Sad, Angry) in 2016, recognizing that a simple \"Like\" may not always suit posts dealing with serious topics, and that writing a text response may feel burdensome for some users. In many digital random contexts, large volumes of posts and comments cluster around specific events, generating intense emotional reactions.