Year
2019
Season
Spring
Paper Type
Master's Thesis
College
College of Arts and Sciences
Degree Name
Master of Science (MS)
Department
Communication
NACO controlled Corporate Body
University of North Florida. School of Communication
First Advisor
Dr. John Parmelee
Second Advisor
Dr. Tulika Varma
Third Advisor
Dr. Junga Kim
Department Chair
Dr. John Parmelee
College Dean
Dr. George Rainbolt
Abstract
The use of computer-generated images as influencers of consumer opinions and behavior is an emerging advertising strategy. This research investigates the advantages and disadvantages of using computer-generated images (CGI) as influencers of human behavior from the perspective of promoting a brand. The power of electronic word of mouth (social media) and how it is incorporated in computer-generated images used as influencers is discussed as a major factor in consumer decision making. The social media account content of computer-generated images was analyzed by conducting a frame analysis to discern how computer-generated images are portrayed on social media. A frame analysis of 577 social media posts was used to develop a framework for future social media strategies for computer-generated images. CGIs be portrayed as transparent, engaging, and as a socialite. Best practices for using computer-generated images were identified by conducting an interview with a representative of a brand that has collaborated with an influential computer-generated image. Innovation, listening to the consumer voice, and creative control should be prioritized in this growing field of CGIs and CGI partnerships.
Suggested Citation
Oglesby, Corliss Deionn, "The New Frontier of Advertising: Computer-Generated Images as Influencers" (2019). UNF Graduate Theses and Dissertations. 861.
https://digitalcommons.unf.edu/etd/861
Included in
Advertising and Promotion Management Commons, Business and Corporate Communications Commons, Fashion Business Commons