ABSTRACT

From QAnon conspiracy theories to Russian government sponsored election interference, social media disinformation campaigns are a part of online life, and identifying these threats amid the posts that billions of social media users upload each day is a challenge. To help sort through massive amounts of data, social media platforms are developing AI systems to automatically remove harmful content primarily through text-based analysis. But these techniques won’t identify all the disinformation on social media. After all, much of what people post are photos, videos, audio recordings, and memes. Developing the entirely new AI systems necessary to detect such multimedia disinformation will be difficult.

摘要

从QAnon阴谋论到俄罗斯政府赞助的选举干预，社交媒体虚假宣传运动都是在线生活的一部分，在数十亿社交媒体用户每天上传的帖子中识别这些威胁是一个挑战。为了帮助整理大量数据，社交媒体平台正在开发AI系统，主要通过基于文本的分析来自动删除有害内容。但是这些技术并不能识别社交媒体上的所有虚假信息。毕竟，人们发布的大部分内容都是照片，视频，录音和模因。开发检测到这种多媒体信息失误所必需的全新AI系统将非常困难。