Deepfakes: Deceptions, mitigations, and opportunities

互联网隐私 业务 营销 计算机科学 心理学
作者
Mekhail Mustak,Joni Salminen,Matti Mäntymäki,Arafat Rahman,Yogesh K. Dwivedi
出处
期刊:Journal of Business Research [Elsevier BV]
卷期号:154: 113368-113368 被引量:146
标识
DOI:10.1016/j.jbusres.2022.113368
摘要

Deepfakes—artificial but hyper-realistic video, audio, and images created by algorithms—are one of the latest technological developments in artificial intelligence. Amplified by the speed and scope of social media, they can quickly reach millions of people and result in a wide range of marketplace deceptions. However, extant understandings of deepfakes’ implications in the marketplace are limited and fragmented. Against this background, we develop insights into the significance of deepfakes for firms and consumers—the threats they pose, how to mitigate those threats, and the opportunities they present. Our findings indicate that the main risks to firms include damage to image, reputation, and trustworthiness and the rapid obsolescence of existing technologies. However, consumers may also suffer blackmail, bullying, defamation, harassment, identity theft, intimidation, and revenge porn. We then accumulate and present knowledge on the strategies and mechanisms to safeguard against deepfake-based marketplace deception. Furthermore, we uncover and report the various legitimate opportunities offered by this new technology. Finally, we present an agenda for future research in this emergent and highly critical area.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
白石杏完成签到,获得积分10
1秒前
mahehivebv111完成签到,获得积分10
1秒前
jksadjiw完成签到,获得积分10
2秒前
陈秋迎完成签到,获得积分10
4秒前
6秒前
路宽宽发布了新的文献求助10
7秒前
Sherry完成签到,获得积分10
8秒前
greatsnow发布了新的文献求助10
10秒前
在改发布了新的文献求助10
12秒前
Patrick完成签到,获得积分10
12秒前
无极微光应助低空飞行采纳,获得20
14秒前
一科研土豆完成签到,获得积分10
15秒前
深情安青应助科研通管家采纳,获得10
17秒前
Owen应助卓涛采纳,获得10
17秒前
17秒前
mango完成签到,获得积分10
18秒前
18秒前
18秒前
Song完成签到,获得积分10
20秒前
科研通AI6.3应助蓝色采纳,获得30
23秒前
海蓝云天应助路宽宽采纳,获得10
23秒前
25秒前
Jasper应助嘚嘚采纳,获得30
26秒前
晨兴戴月完成签到,获得积分10
27秒前
煲汤的螃蟹完成签到 ,获得积分10
28秒前
28秒前
封尘逸动完成签到,获得积分10
29秒前
卓涛发布了新的文献求助10
29秒前
29秒前
俭朴蜜蜂完成签到 ,获得积分10
33秒前
36秒前
沐小悠完成签到 ,获得积分10
36秒前
wikkk完成签到,获得积分10
39秒前
42秒前
Mmmmm完成签到,获得积分10
42秒前
卓涛完成签到,获得积分10
43秒前
wikkk发布了新的文献求助10
43秒前
YUE完成签到,获得积分10
46秒前
Ava应助chem001采纳,获得10
47秒前
嘚嘚发布了新的文献求助30
48秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6353638
求助须知:如何正确求助?哪些是违规求助? 8168650
关于积分的说明 17193788
捐赠科研通 5409727
什么是DOI,文献DOI怎么找? 2863794
邀请新用户注册赠送积分活动 1841171
关于科研通互助平台的介绍 1689915