TL;DR This is a working paper for my PhD social media research course. This study explores how self-monitoring drives creators to manage AI disclosure through perceived authenticity threats and anticipated audience disapproval. How do creators treat AI transparency, as a deliberate impression management tactic that reflects their personality or react based on perceived anticipated social feedback. The study will measure how AI disclosure impacts a creator's brand, reputation and income.

TL;DR This is a working paper for my PhD social media research course. This study explores how self-monitoring drives creators to manage AI disclosure through perceived authenticity threats and anticipated audience disapproval. How do creators treat AI transparency, as a deliberate impression management tactic that reflects their personality or react based on perceived anticipated social feedback. The study will measure how AI disclosure impacts a creator's brand, reputation and income.

"Feeds curates users casts like DJs curate songs for playlists" is the cleanest way to understand what Feeds curation miniapp does, but so what? What's so special about a playlist of casts? Well, let's dive deeper. Feeds is more than just a playlist of casts from folks you follow, it’s an attempt to battle algorithmic bias while building not just the curator but the creators reputation, identity and social capital. But I can just bookmark casts or recast or quotecast, so how are Feeds differe...

"Feeds curates users casts like DJs curate songs for playlists" is the cleanest way to understand what Feeds curation miniapp does, but so what? What's so special about a playlist of casts? Well, let's dive deeper. Feeds is more than just a playlist of casts from folks you follow, it’s an attempt to battle algorithmic bias while building not just the curator but the creators reputation, identity and social capital. But I can just bookmark casts or recast or quotecast, so how are Feeds differe...