東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Deceptive Authenticity: Consumer Per...

Denslinger, Andrew T.,

Linked to FindBook

Google Book

Amazon

博客來

Deceptive Authenticity: Consumer Perceptions of AI-Generated Deepfake Advertising and the Impact on Consumer Behavior /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Deceptive Authenticity: Consumer Perceptions of AI-Generated Deepfake Advertising and the Impact on Consumer Behavior // Andrew T Denslinger.
Author:	Denslinger, Andrew T.,
Description:	1 electronic resource (426 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-11, Section: B.
Contained By:	Dissertations Abstracts International86-11B.
Subject:	Home economics. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31997427
ISBN:	9798314854624

Deceptive Authenticity: Consumer Perceptions of AI-Generated Deepfake Advertising and the Impact on Consumer Behavior /
Denslinger, Andrew T.,

Deceptive Authenticity: Consumer Perceptions of AI-Generated Deepfake Advertising and the Impact on Consumer Behavior /Andrew T Denslinger. - 1 electronic resource (426 pages)

Source: Dissertations Abstracts International, Volume: 86-11, Section: B.

The adoption of AI-driven technologies across various sectors, including digital marketing, has transformed how brands and organizations engage with consumers. Deepfake advertising presents new possibilities in reaching audiences and enables greater levels of personalization and consumer engagement. However, deepfake technology in advertising also presents fundamental questions about authenticity, transparency, and consumer trust. The quantitative research investigates deepfake advertisements' impact on consumer online purchase. This quantitative research collected data through a survey and had 153 respondents. The sample respondents were located in the United States of America and were qualified by age (18+), social media usage, knowledge of deepfake technology, and online purchasing frequency. The data analysis indicates that there is a significant relationship between consumers' perceptions of deepfake advertisements and their perceptions of manipulation risk. Perceived manipulation risk was found to mediate consumers' online purchase intentions when analyzed through the theoretical framework of the Theory of Planned Behavior. Moreover, the research contributes to the current academic literature on AI, deepfakes, and advertising, suggesting practical insights for stakeholders like advertising professionals, marketers, and policymakers. Additionally, the study provides consumers with knowledge to critically assess advertising content contributing to the academic and regulatory discussions about the ethical and psychological implications of using deepfakes in advertising and marketing.

English

ISBN: 9798314854624Subjects--Topical Terms:

551902
Home economics.
Subjects--Index Terms:

AI advertising ethics

Deceptive Authenticity: Consumer Perceptions of AI-Generated Deepfake Advertising and the Impact on Consumer Behavior /
LDR:03175nmm a22004573i 4500 001 2435483
005 20251009122504.5
006 m o d
007 cr|nu||||||||
008 261011s2025 miu||||||m |||||||eng d
020 $a 9798314854624
035 $a (MiAaPQD)AAI31997427
035 $a AAI31997427
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Denslinger, Andrew T., $e author. $3 3825786
245 1 0 $a Deceptive Authenticity: Consumer Perceptions of AI-Generated Deepfake Advertising and the Impact on Consumer Behavior / $c Andrew T Denslinger.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2025
300 $a 1 electronic resource (426 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 86-11, Section: B.
500 $a Advisors: Larson, Benjamin Committee members: Wyandt, Matthew; Irish, Teresa; Jeffries, Steven.
502 $b Ph.D. $c Capitol Technology University $d 2025.
520 $a The adoption of AI-driven technologies across various sectors, including digital marketing, has transformed how brands and organizations engage with consumers. Deepfake advertising presents new possibilities in reaching audiences and enables greater levels of personalization and consumer engagement. However, deepfake technology in advertising also presents fundamental questions about authenticity, transparency, and consumer trust. The quantitative research investigates deepfake advertisements' impact on consumer online purchase. This quantitative research collected data through a survey and had 153 respondents. The sample respondents were located in the United States of America and were qualified by age (18+), social media usage, knowledge of deepfake technology, and online purchasing frequency. The data analysis indicates that there is a significant relationship between consumers' perceptions of deepfake advertisements and their perceptions of manipulation risk. Perceived manipulation risk was found to mediate consumers' online purchase intentions when analyzed through the theoretical framework of the Theory of Planned Behavior. Moreover, the research contributes to the current academic literature on AI, deepfakes, and advertising, suggesting practical insights for stakeholders like advertising professionals, marketers, and policymakers. Additionally, the study provides consumers with knowledge to critically assess advertising content contributing to the academic and regulatory discussions about the ethical and psychological implications of using deepfakes in advertising and marketing.
546 $a English
590 $a School code: 1847
650 4 $a Home economics. $3 551902
650 4 $a Web studies. $3 2122754
650 4 $a Information technology. $3 532993
653 $a AI advertising ethics
653 $a AI-generated advertising
653 $a Consumer behavior
653 $a Deepfake advertising
653 $a Deepfake marketing
690 $a 0800
690 $a 0338
690 $a 0489
690 $a 0646
690 $a 0386
710 2 $a Capitol Technology University. $b Technology (PhD). $e degree granting institution. $3 3815626
720 1 $a Larson, Benjamin $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-11B.
790 $a 1847
791 $a Ph.D.
792 $a 2025
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31997427