AI-generated scam advertisements have flooded European social media platforms, using deepfake videos, cloned voices, and fabricated news stories to lure thousands of victims into fraudulent investment schemes. While the EU's Digital Services Act (DSA) was designed to curb illegal and harmful content, these scams continue to spread at scale, exposing major gaps in platform enforcement and regulatory oversight.
This session will show how to investigate AI-driven scam ads and platform failure using publicly available tools, leaked material, and EU tech legislation. We will walk through how to find and identify and analyse AI-generated scam ads and deepfake content, use Meta's Ad Library to map scam campaigns, detect duplication and evasion tactics, and estimate scale. The session will also address how to collaborate effectively with civil society organisations and trusted flaggers to monitor platforms and access specialised expertise.
As part of the presentation, we'll also talk about how to investigate the Digital Services Act in practice, including transparency obligations, systemic-risk provisions and reporting mechanisms; how to document and report on failures of enforcement by platforms and public authorities, and how to connect platform-level analysis to human stories, including victims' experiences. That also includes how to responsibly handle leaked messages, call scripts, and fake trading platforms, balancing verification, security and ethical considerations.
The session will include concrete examples and live walkthroughs, showing how journalists can combine platform data, legal frameworks and human sources to hold tech companies and regulators accountable.
