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A Study on Creating Shorts Images for Advercontents Using Generative AI

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The rapid evolution of digital media has significantly impacted advertising content, emphasizing the need for innovative and engaging visual content. This study explores the potential of generative artificial intelligence (AI) in creating short images tailored for advercontent, aiming to bridge the gap between technological advancements and creative advertising needs. This study is an exploratory study on how to create short images for advertising content using generative AI. In the modern media environment, the form and consumption method of advertising content is rapidly changing. In particular, the importance of short-form video and image content on social media and digital platforms is growing. Amid these changes, this study seeks to present a new methodology for creating effective advertising content using generative artificial intelligence technology. The study first reviews the basic theory of generative artificial intelligence and key elements in advertising content production. Based on this, we create short image content using various generative artificial intelligence models. It demonstrates the potential of advertising content production using generative artificial intelligence and provides important implications for the future direction of media content production as well as the advertising industry.

Abstract

The rapid evolution of digital media has significantly impacted advertising content, emphasizing the need for innovative and engaging visual content. This study explores the potential of generative artificial intelligence (AI) in creating short images tailored for advercontent, aiming to bridge the gap between technological advancements and creative advertising needs. This study is an exploratory study on how to create short images for advertising content using generative AI. In the modern media environment, the form and consumption method of advertising content is rapidly changing. In particular, the importance of short-form video and image content on social media and digital platforms is growing. Amid these changes, this study seeks to present a new methodology for creating effective advertising content using generative artificial intelligence technology. The study first reviews the basic theory of generative artificial intelligence and key elements in advertising content production. Based on this, we create short image content using various generative artificial intelligence models. It demonstrates the potential of advertising content production using generative artificial intelligence and provides important implications for the future direction of media content production as well as the advertising industry.

참고문헌 (5)

  1. Yeji Kwon, "When TV Ads and Digital Ads Meet : Cross-media Advertising Effect and Advertising Effect According to Multimedia Usage", Advertising Research, 125, pp.62~89 (2020)
  2. Jiyoung Ry, "A Study on the Factors Influencing YouTube Native Advertising Effect : Focusing on Viewing Motivation and Content Suitability of YouTube Influencers", Journal of Practical Research in Advertising and Public Relations, 16(2), pp.76~105 (2023)
  3. Yeochan Yoo, "Trends in Multimodal Generative AI Technology", Communications of the Korean Institute of Information Scientists and Engineers, 42(1), pp.42~47 (2024)
  4. Editorial Departmen, "The advertising industry is introducing generative AI... How will advertising agencies change?", Digital Future and Strategy, 211, pp.25~34 (2023)
  5. Ocksoon Seo, "The Study on the Brand Effect of Advergame:Focused on the Mediation Effect of Persuasion Knowledge", The Korean Journal of Advertising, 27(6), pp.75~96 (2016)

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