Department of Journalism, Ball State University, Muncie, Indiana, USA.
Department of Journalism, Center for Emerging Media Design and Development, Ball State University, Muncie, Indiana, USA.
Cyberpsychol Behav Soc Netw. 2021 Mar;24(3):153-158. doi: 10.1089/cyber.2020.0176. Epub 2021 Feb 17.
This study explores popular deepfake media content and audience response in an effort to gain better understanding of the potential social and psychological impacts of deepfakes. A content analysis of the top 10 YouTube deepfake videos and their audience comments ( = 2,689) was conducted to investigate the degree to which media meta-frame influenced audience response. The results suggested that media meta-frame, the type of video (deepfake videos with commentaries or original deepfake videos), and the number of dislikes on the video had considerable influence on audience response (attitudes and perceived realism), while the majority of the audience expressed neutral or irrelevant attitudes. Our exploratory observation revealed a dynamic interplay of how deepfake was presented and how others react to it might influence the public. Thus, it is necessary to appropriately caution the public about their vulnerability to the ever-advancing deepfake technologies.
本研究旨在探索广受欢迎的深度伪造媒体内容和受众反应，以更好地了解深度伪造可能带来的社会和心理影响。通过对 YouTube 上排名前 10 的深度伪造视频及其受众评论（=2689）进行内容分析，研究了媒体元框架对受众反应的影响程度。结果表明，媒体元框架、视频类型（有解说的深度伪造视频或原始深度伪造视频）以及视频的不喜欢数量对受众反应（态度和感知的真实性）有相当大的影响，而大多数受众则表达了中立或不相关的态度。我们的探索性观察发现，深度伪造的呈现方式以及他人对此的反应如何相互影响公众，这一动态过程值得关注。因此，有必要适当地提醒公众注意他们对日益先进的深度伪造技术的脆弱性。
