深度造假的兴起:营销的概念框架和研究议程

IF 4 Q2 BUSINESS
L. Whittaker, Kate Letheren, R. Mulcahy
{"title":"深度造假的兴起:营销的概念框架和研究议程","authors":"L. Whittaker, Kate Letheren, R. Mulcahy","doi":"10.1177/1839334921999479","DOIUrl":null,"url":null,"abstract":"Deepfakes, digital content created via machine learning, a form of artificial intelligence technology, are generating interest among marketers and the general population alike and are often portrayed as a “phantom menace” in the media. Despite relevance to marketing theory and practice, deepfakes—and the opportunities for benefit or deviance they provide—are little understood or discussed. This article introduces deepfakes to the marketing literature and proposes a typology, conceptual framework, and associated research agenda, underpinned by theorizing based on balanced centricity, to guide the future investigation of deepfakes in marketing scholarship. The article makes an argument for balance (i.e., situations where all stakeholders benefit), and it is hoped that this article may provide a foundation for future research and application of deepfakes as “a new hope” for marketing.","PeriodicalId":47402,"journal":{"name":"Australasian Marketing Journal","volume":"29 1","pages":"204 - 214"},"PeriodicalIF":4.0000,"publicationDate":"2021-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1839334921999479","citationCount":"18","resultStr":"{\"title\":\"The Rise of Deepfakes: A Conceptual Framework and Research Agenda for Marketing\",\"authors\":\"L. Whittaker, Kate Letheren, R. Mulcahy\",\"doi\":\"10.1177/1839334921999479\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Deepfakes, digital content created via machine learning, a form of artificial intelligence technology, are generating interest among marketers and the general population alike and are often portrayed as a “phantom menace” in the media. Despite relevance to marketing theory and practice, deepfakes—and the opportunities for benefit or deviance they provide—are little understood or discussed. This article introduces deepfakes to the marketing literature and proposes a typology, conceptual framework, and associated research agenda, underpinned by theorizing based on balanced centricity, to guide the future investigation of deepfakes in marketing scholarship. The article makes an argument for balance (i.e., situations where all stakeholders benefit), and it is hoped that this article may provide a foundation for future research and application of deepfakes as “a new hope” for marketing.\",\"PeriodicalId\":47402,\"journal\":{\"name\":\"Australasian Marketing Journal\",\"volume\":\"29 1\",\"pages\":\"204 - 214\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2021-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1177/1839334921999479\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Australasian Marketing Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/1839334921999479\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Australasian Marketing Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/1839334921999479","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 18

摘要

Deepfakes是通过机器学习(一种人工智能技术)创造的数字内容,它引起了营销人员和普通大众的兴趣,媒体经常将其描绘成一种“幽灵般的威胁”。尽管与市场营销理论和实践相关,但深度造假——以及它们提供的利益或偏差的机会——很少被理解或讨论。本文将深度造假引入市场营销文献,并提出了一种类型、概念框架和相关的研究议程,以平衡中心性理论为基础,指导未来市场营销学术中深度造假的研究。本文对平衡(即所有利益相关者都受益的情况)进行了论证,希望本文可以为未来的研究和应用deepfakes作为营销的“新希望”提供基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Rise of Deepfakes: A Conceptual Framework and Research Agenda for Marketing
Deepfakes, digital content created via machine learning, a form of artificial intelligence technology, are generating interest among marketers and the general population alike and are often portrayed as a “phantom menace” in the media. Despite relevance to marketing theory and practice, deepfakes—and the opportunities for benefit or deviance they provide—are little understood or discussed. This article introduces deepfakes to the marketing literature and proposes a typology, conceptual framework, and associated research agenda, underpinned by theorizing based on balanced centricity, to guide the future investigation of deepfakes in marketing scholarship. The article makes an argument for balance (i.e., situations where all stakeholders benefit), and it is hoped that this article may provide a foundation for future research and application of deepfakes as “a new hope” for marketing.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
14.90
自引率
16.70%
发文量
25
期刊介绍: The Australasian Marketing Journal (AMJ) is the official journal of the Australian and New Zealand Marketing Academy (ANZMAC). It is an academic journal for the dissemination of leading studies in marketing, for researchers, students, educators, scholars, and practitioners. The objective of the AMJ is to publish articles that enrich and contribute to the advancement of the discipline and the practice of marketing. Therefore, manuscripts accepted for publication will be theoretically sound, offer significant research findings and insights, and suggest meaningful implications and recommendations. Articles reporting original empirical research should include defensible methodology and findings consistent with rigorous academic standards.
×
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