Note : The following summary is AI generated.
Fandom has always been parasocial. People have always formed emotional relationships with artists, characters, and public figures they will never meet. What has changed is not the feeling — the feeling is real and it has always been real. What has changed is the machinery built around it. The K-pop industry studied the psychology of human attachment and reverse-engineered it into a revenue model. Game developers applied the same research to fictional characters designed from the ground up to be bonded with. The internet removed the friction that once kept these dynamics self-regulating and gave every opinion a megaphone and an audience. The result is a mode of engagement that looks like fandom but functions more like identity, where the object of devotion becomes so personal that questioning it feels like an attack on the self, spending in its defense feels like loyalty, and the most toxic behavior and the most genuine love come from exactly the same place. This series examines how that happened, what it costs, and what it reveals about the relationship between people, the things they love, and the industries that learned to profit from both. We start with the industry that perfected it.
Part I – The Music Never Lies: K-Pop, Manufactured Cool, and the Accidental Blueprint
Part II – The Opinion Industrial Complex: Fan Culture, Identity, and the Erosion of Critical Thought
These posts are the results of some conversations I’ve had with Claude. They began as a curiosity, me wondering about patterns I’ve noticed about outrage culture in fandom, about a lack of nuance and critical thinking, about fascination around the progression of K-pop popularity over the past 30 years being a passive observer/fan since about 2000 or so.
I’d speak into my phone using speech to text, dumping thoughts I’d had over time about all of this. Then I’d find articles that backed up what I said. I’d use that context to have Claude argue with me, using counterpoints I found or research articles on trends that spoke to my theory.
When I felt like I had enough information, I’d ask it to create an outline to make sure it understood the context of what I said. This was tedious. AI hallucinates a lot, infers a lot, inserts things I never said. It takes quite a while to iterate through it to make sure it captures only what I said and the intent behind it.
When I was satisfied with the outline, I had it write in a narrative form that an AI could pick up and run with, gathered my journal entries and articles, and dumped it all into NotebookLM to generate podcasts of two AI hosts discussing my thoughts and the sources.
I thought this would be easier than doing my podcast the way I used to do Darling Nisi, but I probably spent about the same, if not more, time doing this. The purpose is not really to discuss things with another human. I’m still gun shy from being overwhelmed as a content creator, and the actual second job that tends to be, but it’s a creative way to dig deep on topics that are spinning in my mind, just to get them out of my head in an engaging way. (And interesting to listen “people” discuss my thoughts while sitting in Atlanta traffic on the way to work).
Not sure how many people would be interested in hearing hours of my stream of thoughts about whatever nerdy thing I’m hyperfixated on, but a simulated conversation between two people discussing those thoughts, that details what my argument was, and asking thoughtful questions around it might be more engaging.
– It’s Been a While