论文标题
深击有关吗？分析有关reddit的深击和探索社会影响的对话
Are Deepfakes Concerning? Analyzing Conversations of Deepfakes on Reddit and Exploring Societal Implications
论文作者
论文摘要
深层蛋白是使用先进的深度学习和AI技术生成的合成内容。技术的进步为任何人创造了创造和共享深层效果的机会。这可能会根据社区如何与之互动引起社会问题。但是，有限的研究可用于了解社区如何看待深击。我们研究了2018年至2021年在Reddit上进行的DeepFake对话 - 包括主要主题及其时间变化以及这些对话的含义。使用混合方法方法 - 主题建模和定性编码，我们发现了6,638篇文章和86,425条评论，讨论了深层摄影的可信性质的担忧以及平台如何调节它们。我们还发现，Reddit对话是亲切的，并建立了一个社区，该社区支持创建和共享Deepfake工件并建立市场，而不论其后果如何。定性代码产生的可能含义表明，深料对话引起了社会问题。我们建议，对人类计算机互动（HCI）有影响，以减轻因深击而造成的伤害。
Deepfakes are synthetic content generated using advanced deep learning and AI technologies. The advancement of technology has created opportunities for anyone to create and share deepfakes much easier. This may lead to societal concerns based on how communities engage with it. However, there is limited research available to understand how communities perceive deepfakes. We examined deepfake conversations on Reddit from 2018 to 2021 -- including major topics and their temporal changes as well as implications of these conversations. Using a mixed-method approach -- topic modeling and qualitative coding, we found 6,638 posts and 86,425 comments discussing concerns of the believable nature of deepfakes and how platforms moderate them. We also found Reddit conversations to be pro-deepfake and building a community that supports creating and sharing deepfake artifacts and building a marketplace regardless of the consequences. Possible implications derived from qualitative codes indicate that deepfake conversations raise societal concerns. We propose that there are implications for Human Computer Interaction (HCI) to mitigate the harm created from deepfakes.
