浏览器插件可一键检测图文内容真伪，助力记者快速核实信息。
A Browser-based Open Source Assistant for Multimodal Content Verification
- 通过浏览器插件统一接入多种NLP模型，自动分析媒体内容
- 支持网址和文件上传，实时输出可信度信号与生成内容概率
- 已服务超14万用户，适合记者、编辑等非技术人群使用
生成式AI带来的虚假信息对记者和事实核查人员构成严峻挑战，需快速验证数字媒体内容。尽管已有大量自然语言处理（NLP）模型可用于识别说服技巧、主观性或机器生成文本等可信度信号，但这些方法通常对非专业人士不友好，且未嵌入日常核查流程。本文展示的验证助手（VERIFICATION ASSISTANT）是一款基于浏览器的开源工具，作为广受使用的验证插件（VERIFICATION PLUGIN，140,000+用户）的核心组件，允许用户提交网页链接或媒体文件至统一界面。系统自动提取内容并分发至后端一系列NLP分类器，输出可操作的可信度信号，估算内容由AI生成的概率，并以清晰易懂的方式提供验证建议。本文介绍了该工具的架构设计、多NLP服务集成方式及其在真实场景中识别虚假信息的应用效果。
原文摘要 · Abstract (English)
Disinformation and false content produced by generative AI pose a significant challenge for journalists and fact-checkers who must rapidly verify digital media information. While there is an abundance of NLP models for detecting credibility signals such as persuasion techniques, subjectivity, or machine-generated text, such methods often remain inaccessible to non-expert users and are not integrated into their daily workflows as a unified framework. This paper demonstrates the VERIFICATION ASSISTANT, a browser-based tool designed to bridge this gap. The VERIFICATION ASSISTANT, a core component of the widely adopted VERIFICATION PLUGIN (140,000+ users), allows users to submit URLs or media files to a unified interface. It automatically extracts content and routes it to a suite of backend NLP classifiers, delivering actionable credibility signals, estimating AI-generated content, and providing other verification guidance in a clear, easy-to-digest format. This paper showcases the tool architecture, its integration of multiple NLP services, and its real-world application to detecting disinformation.
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