Trust: The Impact of AI-driven Digital Marketing on TikTok

Lukia Sophia Burbaum & Pietro Fraternale

Student thesis: Master thesis

Abstract

Purpose - This study investigates the impact of AI-driven digital marketing on TikTok, focusing on Generation Z consumer behavior and societal implications. It aims to comprehend Gen Z's perception of AI-driven marketing on TikTok, and its ethical, legal, and social consequences.

Methodology - The research employs both qualitative and quantitative methods, including interviews with marketing practitioners and a survey conducted among Gen Z consumers. The data, contextualized with secondary findings, is analyzed and discussed with the Technology Acceptance Model (TAM) and a techno-economic and techno-social perspective.

Findings - AI has revolutionized content creation and interaction on TikTok, providing optimized and personalized experiences for Gen Z. However, skepticism towards AI-driven advertising underscores the need for authenticity, trust, and accountability in AI marketing practices.

Practical Implications - The study advises brands to create authentic content that aligns with Gen Z preferences and maintain human involvement in AI-driven advertising. It advocates for ethical AI usage, robust data privacy regulations, and trust-building among stakeholders.

Originality - This thesis uniquely explores AI-driven marketing on TikTok, concentrating on Gen Z's perceptions and behaviors. It contributes valuable insights to the discourse on ethical AI usage and trust in digital marketing and consumer behavior.

EducationsMSc in International Marketing and Management, (Graduate Programme) Final Thesis
LanguageEnglish
Publication date2023
Number of pages225