Multi-Agentic System Leveraging Open-Source LLMs to Mitigate Disinformation Threats
In contemporary societies, the threat of disinformation has reached alarming levels, exacerbated by the proliferation of electronic communication, social media, and advancements in artificial intelligence. As a result, there is an urgent need to develop effective countermeasures to mitigate this menace. However, the sheer scale of the problem renders manual fact-checking and human-based verification inadequate, underscoring the necessity for automated methods to detect and debunk disinformation. This article proposes a novel approach based on a multi-agent system that emulates the decision-mak
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- LinkedLinked via unknownagent-tools →
- LinkedLinked via unknownAgentTrace →
- LinkedLinked via unknownkrushna081/chakravyuh-ai →
- LinkedLinked via unknownSecuring the future of AI agents →
- LinkedLinked via unknownHow Inscribe uses Amazon Bedrock to stop document fraud in seconds →
- LinkedLinked via unknownSentryCode: Real-time Auditor + Honeytokens for AI Coding Agents [P] →
- PossiblePossibly related (embedding) · 50%llm-misinformation/llm-misinformation →
