BBC Eye builds multi-agent AI system Haystack to analyze Russian nationalist social media posts at scale
By
Christopher Giles
Summary
BBC Eye's investigation team built a multi-agent AI system called Haystack to analyze 10,000 Russian social media posts from nationalist groups. The system uses multiple LLM-powered agents to fetch, assess, and analyze social media content under human journalist supervision. It helped the team quantify nationalist groups' activities, including anti-migrant raids and violence incitement, surfacing hundreds of leads that would have required weeks or months of manual work. The system was built using LangGraph and allows non-technical reporters to query data in natural language. Key findings included that Russkaya Obshina appeared to have the most prolific on-the-ground presence among nationalist groups.
Source
bskyBBC Eye builds multi-agent AI system Haystack to analyze Russian nationalist social media posts at scalereutersinstitute.politics.ox.ac.ukKey quotes
· 5 pulledAny journalist who's done online investigations knows there's simply too much evidence for one human to ever collect or investigate.
We opted for AI agents – a collection of large language models (LLMs) that can coordinate and execute multi-step tasks under human supervision.
The emergence of generative AI has allowed malicious actors to pollute information environments faster than ever. The only way to counter the flood may be to find trustworthy ways to harness AI ourselves.
Haystack allowed us to cut through the noise and get at what we were really interested in: the extent to which these Russian groups talked about their real-world activities.
We believe such AI-powered systems hold potential to expand our reach, allowing us to work on stories that may otherwise never be told.
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