How Deepfakes and Artificial Intelligence Could Reshape the Advertising Industry

Campbell, Colin; Plangger, Kirk; Sands, Sean; Kietzmann, Jan; Bates, Kenneth

doi:10.2501/jar-2022-017

Cited by 48 publications

(15 citation statements)

References 34 publications

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“…Some of the studies reviewed have explored various ways AI is employed for advertising content creation. AI plays an increasingly significant role in the content creation realm of advertising (Campbell, Plangger, Sands, Kietzmann, Bates, 2022). For instance, Lexus employed AI to script advertisements, and McCann Worldgroup Japan established the first AI Creative Director position after discovering consumers’ preferences for AI-created advertisements (Bakpayev et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

“…Specifically, AI is increasingly employed in advertising Targeting, Personalization, Content Creation, and Ad Optimization (Bhatt, 2021;Campbell, Plangger, Sands, Kietzmann, Bates, 2022;Jaiwant, 2023;Malthouse & Copulsky, 2023;Nikolajeva & Teilans, 2021). By analyzing consumer behavior, AI technology offers valuable insights that aid advertisers in formulating more effective strategies, this enhances the efficiency of advertisement information processing and decision-making (e.g., Malthouse & Copulsky, 2023;M€ uhlhoff & Willem, 2023), representing breakthroughs in the field.…”

Section: Introductionmentioning

confidence: 99%

“…For example, a group of researchers studied the domain of Targeting (Bateni et al, 2017;Choi & Lim, 2020;Helsloot et al, 2018;M€ uhlhoff & Willem, 2023;Theodoridis & Gkikas, 2019). Another group explored the domain of Personalization (Bansal & Gupta, 2023;Campbell, Plangger, Sands, Kietzmann, Bates, 2022;Chandra et al, 2022;Nikolajeva & Teilans, 2021). Some researchers have also studied content creation (Aguilar & Garcia, 2017;Bakpayev et al, 2022;Omar et al, 2022;Smith, 2020;Sun et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalization, Content Creation, and Ad Optimization

Gao,

Wang,

Xie

et al. 2023

Sage Open

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With the rapid advancement of artificial intelligence (AI) technology, the advertising industry is at a crossroads of new opportunities and challenges. This pioneering study provides an in-depth review of AI’s application in advertising, focusing especially on four key elements: Targeting, Personalization, Content Creation, and Ad Optimization. By delving deep into these areas, we uncover the potential of AI in revolutionizing the advertising sector. At the same time, we discuss the pressing ethical issues arising from the current applications of AI in advertising-related fields. Using the VOSviewer software, this study conducts an in-depth analysis of the literature, revealing the intrinsic connections of these four key elements in AI advertising based on computational advertising: Targeting and Personalization are closely linked, jointly determining who gets shown which advertisements. Content Creation generates appealing advertising content through AI during the Personalization process, while Ad Optimization relies on the outcomes of the first three elements, adjusting ad displays to achieve the highest return on investment. This research offers a fresh perspective on understanding AI’s application in advertising, aiding in the responsible and effective use of AI technology for superior ad delivery.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalization, Content Creation, and Ad Optimization

Gao,

Wang,

Xie

et al. 2023

Sage Open

View full text Add to dashboard Cite

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“…As the role of AI continues to increase and human‐machine interactions evolve rapidly, it is necessary to ascertain their impact on consumer behavior. The articles in this cluster are the most recent (published in 2022) and investigate AI effects on CB in contexts such as voice assistant recommendations (Flavián et al, 2022) and the impact of deep fakes on consumers (Campbell et al, 2022). Earlier studies in the AI CB literature focused on topics such as how big data and AI can be used to understand consumer behavior (Dinu et al, 2016; Lichy et al, 2017) or the acceptance and adoption of AI‐enabled technologies (Huang & Qian, 2021; Prentice & Nguyen, 2020).…”

Section: General Overview: Tcm‐ado Framework (Theory Context Methodol...mentioning

confidence: 99%

Artificial intelligence consumer behavior: A hybrid review and research agenda

Jain,

Wadhwani,

Eastman

2023

J of Consumer Behaviour

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The advancement of artificial intelligence (AI) technology and its applications has drastically transformed consumer behavior (CB). As consumers interact with these applications on multiple platforms and touchpoints, it becomes crucial to understand how these interactions affect consumer behavior and its components, including personality, attitude, engagement, decision‐making, and trust. The research on the relationship between artificial intelligence and consumer behavior (hereafter referred to as AI CB) revolves around these topics and has grown exponentially in recent years. A rigorous review is required to provide directions for future studies by comprehending the extensive literature, understanding research gaps, and identifying the future directions for scholarly work. This article aims to address this research gap by analyzing 107 AI CB articles using the bibliometric and framework‐based methodology to provide insights into publication trends, dominant theories, methods, antecedents, decisions, and outcomes in the AI CB literature. Most importantly, the review identifies clusters of research fronts and provides a thematic framework for current research. These clusters or themes relate to AI interaction with consumer behavior dimensions, including consumer acceptance and trust, consumer interaction and engagement, attitude and personality, decision‐making, and adoption. This thematic framework and TCM‐ADO analysis offer future research directions to advance theory development and have implications for industry and society.

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“…This could lead to job displacement, necessitating the development of new skills. However, AI disruption may boost productivity and reduce costs while possibly worsening economic inequality, which would require much ethical consideration (Ahmed et al, 2022;Campbell et al, 2022;Dwivedi et al, 2021Dwivedi et al, , 2023Fulmer et al, 2021;Russell & Norvig, 2021).…”

Section: Defining Ai and Describing The Fields It Is Used Inmentioning

confidence: 99%

Artificial intelligence (AI) in psychology: a commentary on AI’s emerging role and the ensuing conversation

Munnik,

Noorbhai

2024

South African Journal of Psychology

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This brief commentary explores the opportunities and challenges presented by the increasing prevalence of artificial intelligence in the field of psychology in South Africa. Artificial intelligence has the potential to revolutionise teaching and learning, research, content production, and professional services, but it also presents some challenges to academic and professional psychology in South Africa. While some generative artificial intelligence can produce written work, such as assignments, literature reviews, and theses, they currently cannot replace human reasoning and the critical thinking abilities required to argue a particular point (at this stage). Artificial intelligence chatbots can also act as teaching assistants and even provide complex psychological interventions such as cognitive-behavioural therapy. In research and publication, artificial intelligence can increase efficiency and provide new insights and perspectives by detecting patterns and relationships that may have been overlooked by human researchers. However, the use of artificial intelligence raises ethical concerns, particularly around ownership and authorship of artificial intelligence–generated content, potential biases, and errors. The commentary concludes that as artificial intelligence technology continues to evolve, and with the human–artificial intelligence partnership continuing to unfold, it is important to recognise the risks associated with its use in academic writing and ensure that psychology students develop appropriate research skills.

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How Deepfakes and Artificial Intelligence Could Reshape the Advertising Industry

Cited by 48 publications

References 34 publications

Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalization, Content Creation, and Ad Optimization

Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalization, Content Creation, and Ad Optimization

Artificial intelligence consumer behavior: A hybrid review and research agenda

Artificial intelligence (AI) in psychology: a commentary on AI’s emerging role and the ensuing conversation

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