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首页> 外文期刊>Bulletin of the Atomic Scientists >Meme warfare: AI countermeasures to disinformation should focus on popular, not perfect, fakes
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Meme warfare: AI countermeasures to disinformation should focus on popular, not perfect, fakes

机译:MEME WARFARE:AI对不确定的对策应该专注于流行,而不是完美,假货

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摘要

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.
机译:从Qanon阴谋理论到俄罗斯政府赞助的选举干扰,社交媒体消毒竞选是在线生活的一部分,在帖子中识别这些威胁,即每天上传数十亿名社交媒体用户是一项挑战。 为了通过大量数据进行排序,社交媒体平台正在开发AI系统,以通过基于文本的分析自动删除有害内容。 但这些技术不会识别社交媒体上的所有伪信息。 毕竟,人们发布的大部分是照片,视频,录音和模因。 开发检测此类多媒体缺点所需的完全新的AI系统将是困难的。

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