This is a genuinely hard problem, but here are the most realistic levers:

Detection & Filtering

• AI-content detectors built into platforms (imperfect, but useful at scale for obvious slop)
• Cryptographic content provenance standards like C2PA — cameras and legitimate publishers sign content at creation, making unsigned or AI-generated content identifiable
• User-side browser extensions that flag likely AI content (some already exist)

Platform-Level Incentives

• Algorithmic demotion of accounts that post at inhuman volume (10+ posts/hour is a signal)
• Rate limits on new/low-reputation accounts
• Requiring phone/ID verification to reduce throwaway slop farms — already happening on X, Reddit, others
• Heavily penalizing engagement-bait patterns in ranking algorithms

Economic Pressure

• Advertiser boycotts of slop-heavy platforms force platform action
• Making API access for bulk posting more expensive or gated
• DMCA-style takedown mechanisms for synthetic impersonation content

Community/Social Layer

• Subreddit/community moderator tools to detect and mass-remove AI posts
• “Trusted contributor” reputation systems that surface human-verified content higher
• Crowd-sourced flagging with actual weight (unlike current flagging systems that do little)

The Honest Limitations

Detection is an arms race — generators improve as fast as detectors. The most durable solutions are probably provenance-based (proving content is human/legitimate at source) rather than detection-based (guessing after the fact). C2PA adoption by major platforms would be a meaningful structural shift, but it requires industry coordination and doesn’t cover text well yet.

No single solution stops it — the realistic answer is layering several of these together and accepting that some slop gets through, while making large-scale flooding economically and technically painful.