论文标题
MEWS：实时社交媒体操纵检测和分析
MEWS: Real-time Social Media Manipulation Detection and Analysis
论文作者
论文摘要
本文介绍了MEWS的Beta-version（错误信息预警系统）。它描述了摄入，操纵检测的各个方面以及用于确定社交媒体图像在社交媒体平台上的社交媒体图像之间的关系时所采用的图形算法。通过将这些各种技术组合到单个处理管道中，MEW可以在出现时识别受操纵的媒体项目，并识别这些特定项目何时开始在单个社交媒体平台上甚至在多个平台上开始流行。一种新颖的操纵的出现，然后快速扩散操纵内容，这表明了虚假的运动。
This article presents a beta-version of MEWS (Misinformation Early Warning System). It describes the various aspects of the ingestion, manipulation detection, and graphing algorithms employed to determine--in near real-time--the relationships between social media images as they emerge and spread on social media platforms. By combining these various technologies into a single processing pipeline, MEWS can identify manipulated media items as they arise and identify when these particular items begin trending on individual social media platforms or even across multiple platforms. The emergence of a novel manipulation followed by rapid diffusion of the manipulated content suggests a disinformation campaign.
