The proliferation of fake news poses a significant threat not only by disseminating misleading information but also by undermining the very foundations of democracy. The recent advance of generative artificial intelligence has further exacerbated the challenge of distinguishing genuine news from fabricated stories. In response to this challenge, we introduce VeraCT Scan, a novel retrieval-augmented system for fake news detection. This system operates by extracting the core facts from a given piece of news and subsequently conducting an internet-wide search to identify corroborating or conflicting reports. Then sources' credibility is leveraged for information verification. Besides determining the veracity of news, we also provide transparent evidence and reasoning to support its conclusions, resulting in the interpretability and trust in the results. In addition to GPT-4 Turbo, Llama-2 13B is also fine-tuned for news content understanding, information verification, and reasoning. Both implementations have demonstrated state-of-the-art accuracy in the realm of fake news detection.

翻译：虚假新闻的泛滥不仅传播误导性信息，更对民主制度的根基构成严重威胁。近期生成式人工智能的进展进一步加剧了区分真实新闻与捏造信息的挑战。为应对此挑战，我们提出VeraCT Scan——一种新颖的检索增强式虚假新闻检测系统。该系统通过提取给定新闻的核心事实，随后进行全网检索以识别相互印证或矛盾的报道，进而利用信源可信度进行信息验证。除判定新闻真实性外，系统还提供透明的证据与推理过程以支撑结论，从而实现结果的可解释性与可信度。除GPT-4 Turbo外，我们还对Llama-2 13B模型进行了微调，使其具备新闻内容理解、信息验证与推理能力。两种实现方案均在虚假新闻检测领域展现出最先进的准确率。