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深度伪造与科学知识传播。

Deepfakes and scientific knowledge dissemination.

机构信息

RAND Corporation, Santa Monica, USA.

Carnegie Mellon University, Pittsburgh, USA.

出版信息

Sci Rep. 2023 Aug 18;13(1):13429. doi: 10.1038/s41598-023-39944-3.

DOI:10.1038/s41598-023-39944-3
PMID:37596384
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10439167/
Abstract

Science misinformation on topics ranging from climate change to vaccines have significant public policy repercussions. Artificial intelligence-based methods of altering videos and photos (deepfakes) lower the barriers to the mass creation and dissemination of realistic, manipulated digital content. The risk of exposure to deepfakes among education stakeholders has increased as learners and educators rely on videos to obtain and share information. We field the first study to understand the vulnerabilities of education stakeholders to science deepfakes and the characteristics that moderate vulnerability. We ground our study in climate change and survey individuals from five populations spanning students, educators, and the adult public. Our sample is nationally representative of three populations. We found that 27-50% of individuals cannot distinguish authentic videos from deepfakes. All populations exhibit vulnerability to deepfakes which increases with age and trust in information sources but has a mixed relationship with political orientation. Adults and educators exhibit greater vulnerability compared to students, indicating that those providing education are especially susceptible. Vulnerability increases with exposure to potential deepfakes, suggesting that deepfakes become more pernicious without interventions. Our results suggest that focusing on the social context in which deepfakes reside is one promising strategy for combatting deepfakes.

摘要

从气候变化到疫苗接种,各种主题的科学错误信息都对公共政策产生重大影响。基于人工智能的修改视频和照片的方法(深度伪造)降低了大规模制作和传播逼真的、受操控的数字内容的门槛。由于学习者和教育者依赖视频来获取和分享信息,教育利益相关者接触深度伪造的风险增加了。我们进行了第一项研究,以了解教育利益相关者对科学深度伪造的脆弱性以及影响脆弱性的特征。我们的研究以气候变化为基础,调查了来自五个群体的个人,涵盖学生、教育工作者和成年公众。我们的样本在三个群体中具有全国代表性。我们发现,27-50%的人无法区分真实视频和深度伪造视频。所有群体都容易受到深度伪造的影响,这种影响随着年龄和对信息源的信任而增加,但与政治倾向的关系较为复杂。成年人和教育工作者比学生更容易受到影响,这表明提供教育的人尤其容易受到影响。随着对潜在深度伪造的接触增加,脆弱性也会增加,这表明如果不采取干预措施,深度伪造会变得更加有害。我们的研究结果表明,关注深度伪造存在的社会背景是对抗深度伪造的一种有前途的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78c3/10439167/9357d04daac2/41598_2023_39944_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78c3/10439167/9357d04daac2/41598_2023_39944_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78c3/10439167/9357d04daac2/41598_2023_39944_Fig1_HTML.jpg

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