Real or Fake: Eliciting Deepfake Identification Strategies through a Diary Study

Q3 Social Sciences
Ruoyao Zeng, Siyi Song, Zhengxi Guo, Dion Hoe‐Lian Goh, Chei Sian Lee
{"title":"Real or Fake: Eliciting Deepfake Identification Strategies through a Diary Study","authors":"Ruoyao Zeng, Siyi Song, Zhengxi Guo, Dion Hoe‐Lian Goh, Chei Sian Lee","doi":"10.1002/pra2.993","DOIUrl":null,"url":null,"abstract":"ABSTRACT The prevalence of deepfake technology has led to concerns about the ability of people to spot real videos from fakes. We address these concerns through a diary study to elicit strategies people use to identify deepfake and real videos. Results indicate that different strategies were associated with deepfake and real video identification. Interestingly, popular strategies were often not as effective as less popular ones. Implications of our work are discussed.","PeriodicalId":37833,"journal":{"name":"Proceedings of the Association for Information Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Association for Information Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/pra2.993","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

ABSTRACT The prevalence of deepfake technology has led to concerns about the ability of people to spot real videos from fakes. We address these concerns through a diary study to elicit strategies people use to identify deepfake and real videos. Results indicate that different strategies were associated with deepfake and real video identification. Interestingly, popular strategies were often not as effective as less popular ones. Implications of our work are discussed.
真假:通过日记研究引出深度假识别策略
深度造假技术的流行引发了人们对人们从假货中识别真实视频能力的担忧。我们通过一项日记研究来解决这些问题,以引出人们用来识别深度伪造和真实视频的策略。结果表明,不同的策略与深度假视频和真实视频识别相关联。有趣的是,受欢迎的策略往往不如不受欢迎的策略有效。讨论了我们工作的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Proceedings of the Association for Information Science and Technology
Proceedings of the Association for Information Science and Technology Social Sciences-Library and Information Sciences
CiteScore
1.30
自引率
0.00%
发文量
164
期刊介绍: Information not localized
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信