All the News That's Fit to Fabricate: AI-Generated Text as a Tool of Media Misinformation
All the News That's Fit to Fabricate: AI-Generated Text as a Tool of Media Misinformation
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DOI：
10.1017/xps.2020.37
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发表时间：
2022-01-01
影响因子：
3.6
通讯作者：
Brundage, Miles
中科院分区：
文献类型：
--
作者：
Kreps, Sarah;McCain, R. Miles;Brundage, Miles
网上的虚假信息已经成为一种常态；只是参与者创造和传播这些信息的方式正在发生变化。人工智能(AI)的进步，如GPT-2，意味着演员现在可以通过模仿人类创造的新闻故事的风格和实质的方式来合成文本。我们进行了三个原创性实验，以研究这些人工智能生成的文本是否可信，是否可以影响对外交政策的看法。第一项研究评估了人类对人工智能生成的文本相对于原始故事的感知。第二项研究调查了党派之争和人工智能生成的新闻之间的互动。第三项研究考察了感知可信度在不同人工智能模型大小上的分布。我们发现，个人在很大程度上无法区分人工智能生成的文本和人类生成的文本；党派偏见影响故事的可信度；接触文本几乎不会改变个人的政策观点。这一发现对理解在线虚假信息运动中的人工智能具有重要意义。
Online misinformation has become a constant; only the way actors create and distribute that information is changing. Advances in artificial intelligence (AI) such as GPT-2 mean that actors can now synthetically generate text in ways that mimic the style and substance of human-created news stories. We carried out three original experiments to study whether these AI-generated texts are credible and can influence opinions on foreign policy. The first evaluated human perceptions of AI-generated text relative to an original story. The second investigated the interaction between partisanship and AI-generated news. The third examined the distributions of perceived credibility across different AI model sizes. We find that individuals are largely incapable of distinguishing between AI- and human-generated text; partisanship affects the perceived credibility of the story; and exposure to the text does little to change individuals' policy views. The findings have important implications in understanding AI in online misinformation campaigns.