Leading through the Synthetic Media Era: Platform Governance to Curb AI-Generated Fake News, Protect the Public, and Preserve Trust

Abstract

Generative AI has collapsed the cost of fabricating persuasive audio, images, and video; social platforms can then amplify these forgeries to millions within minutes. Ordinary users—not only public figures—now face wire-transfer fraud via deepfaked executives, non-consensual intimate imagery, cloned-voice “kidnapping” scams, celebrity-death hoaxes, health/finance misinformation, and market-moving fake photos. Beyond immediate losses, reputational abuse and automation-related job loss correlate with anxiety, depression, and, for some, suicidal ideation. We argue the central risk is not “AI” itself but the low-friction spread of forged sight/sound cues in engagement-optimized feeds. We propose a risk-tiered, authenticate-then-distribute regime anchored by a Pre-Publication Authenticity Verification (PPAV) pipeline that combines provenance (C2PA/Content Credentials), watermark signals, media forensics, similarity/history checks, and semantic claim verification. We add a governance blueprint (policy, operations, metrics), a quarter-by-quarter implementation roadmap, and a victim-first model with rapid takedowns and mental-health-aware UX.