具体的媒体素养技巧可以提高人工智能生成的视觉错误信息识别能力。

IF 3.4 2区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL
Sean Guo, Briony Swire-Thompson, Xiaoqing Hu
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引用次数: 0

摘要

使用人工智能(AI)生成的图像变得越来越逼真,引发了对即将到来的“信息大流行”的讨论和担忧,即我们不能再相信我们在互联网上看到的东西。在这项预注册的研究中,我们研究了提供关于如何识别人工智能生成的图像的特定媒体素养提示是否可以降低对人工智能生成的视觉错误信息(AIVM)的易感性。参与者被随机分配到三种情况中的一种,阅读特定的媒体素养提示,一般的媒体素养提示,或者没有媒体素养提示(对照组)。一般提示提供了关于如何发现错误信息的提示,而特定提示提供了关于如何检测AIVM的更详细的提示。结果显示,特定提示比一般提示更能提高标题对真假信息的辨别能力。与对照组相比,两种媒介素养干预都降低了对AIVM的信念,但具体提示比一般提示更能降低对AIVM的信念。最后,与对照组相比,具体提示和一般提示都降低了对真实标题的信任度,两者之间没有区别。在AIVM日益流行的信息环境中,可能值得具体说明如何检测在线错误信息,而不仅仅是提供一般信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Specific media literacy tips improve AI-generated visual misinformation discernment.

Images generated using artificial intelligence (AI) have become increasingly realistic, sparking discussions and fears about an impending "infodemic" where we can no longer trust what we see on the internet. In this preregistered study, we examine whether providing specific media literacy tips about how to spot AI-generated images can reduce susceptibility to AI-generated visual misinformation (AIVM). Participants were randomly assigned to one of three conditions, reading specific media literacy tips, general media literacy tips, or no media literacy tips (control). The general tips provided tips on how to spot misinformation, while the specific tips provided more detailed tips for how to detect AIVM. Results showed that specific tips increased headline discernment between true and false information more than general tips. Both media literacy interventions reduced belief in AIVM compared to control, but specific tips reduced belief in AIVM more than general tips. Finally, both specific and general tips also reduced belief in real headlines compared to control, with no difference between them. In an information environment that sees increasing prevalence of AIVM, it may be worth being specific about how to detect misinformation online rather than only providing general information.

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来源期刊
CiteScore
6.80
自引率
7.30%
发文量
96
审稿时长
25 weeks
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