X's AI slop melodramas exploit revenue sharing—8 creators sued
AI-generated melodramas with 5M impressions are earning creators X payouts
A viral X thread about a mother falsely accused of theft, saved by her 9-year-old son in court, isn't real. It's an AI-generated melodrama authored by a 21-year-old stock trader in Nigeria who profits from X's Creative Revenue Sharing program. The program pays Premium users who have at least 500 verified followers and 5 million impressions over three months. Creators churn out formulaic first-person tales of injustice and redemption—wrongful firings, courtroom surprises, and humiliated adversaries—that routinely pull in hundreds of thousands to millions of views. These stories trigger a dopamine hit as justice prevails, exploiting readers' hunger for fairness and retribution.
X's payout system is ripe for abuse. In May 2025, the company sued 8 Vietnamese creators and 25 John Does, alleging they fraudulently collected payments using AI-generated content boosted by bot-driven comments. X also moved to cut aggregators' pay and remove millions of plagiarized posts. Rob Cover, a professor at RMIT, notes the formula is as formalized as a sonnet: rage-bait setup, then the underdog's redemption and public shaming of the adversary. Jenna Russell, a PhD candidate at Maryland, says spammers "optimized for least effort and most engagement." X (now part of xAI and SpaceX) hasn't clarified how it polices this AI slop, but the scale suggests a systemic authenticity crisis.
- X's Creative Revenue Sharing requires 500+ verified followers and 5M impressions in 3 months to earn payouts.
- In May 2025, X sued 8 Vietnamese creators and 25 John Does for using AI-generated content and bot-boosted engagement to defraud the program.
- AI melodramas follow a rage-bait-to-redemption formula, routinely garnering hundreds of thousands to millions of views and engaging users' desire for justice.
Why It Matters
X's payout system rewards engagement over authenticity, flooding feeds with manipulative AI slop and undermining trust.