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EXPLORING THE DIGITAL LANDSCAPE: UNRAVELING THE IMPACT OF GENERATIVE ARTIFICIAL INTELLIGENCE AWARENESS AND PERSONALIZATION ON USER ENGAGEMENT IN SOCIAL MEDIA MARKETING
Mälardalen University, School of Business, Society and Engineering.
2023 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
EXPLORING THE DIGITAL LANDSCAPE: UNRAVELING THE IMPACT OF Generative Artificial Intelligence AWARENESS AND PERSONALIZATION ON USER ENGAGEMENT IN SOCIAL MEDIA MARKETING : A Comprehensive Analysis of Consumer Perceptions (English)
Abstract [en]

The study aims to investigate user engagement in the Generated Artificial Intelligence (GAI) marketing content within social media marketing. The increasing prominence of GAI content has sparked diverse reactions, particularly concerning the safety of personalized content and individuals' awareness of their data being utilized for customization. The main goal of this research is to understand the impact of GAI on user engagement in social media marketing, focusing on the utilization of customer data and preferences on social media platforms. The research unfolds as an empirical exploration, employing a quantitative approach and a structured questionnaire. In conclusion, the research implications emphasize the significance of transparent communication, strategic content creation, and a nuanced understanding of the relationship between awareness, personalization, and consumer engagement in the context of AI-generated content. Marketers can leverage these insights to refine their strategies, enhance user experiences, and build trust in the era of AI-driven marketing.

Place, publisher, year, edition, pages
2023. , p. 32
Keywords [en]
Generative Artificial Intelligence, User Engagement, Marketing Strategies, Consumer Awareness, AI-Generated Content
National Category
Business Administration
Identifiers
URN: urn:nbn:se:mdh:diva-65316OAI: oai:DiVA.org:mdh-65316DiVA, id: diva2:1826808
Subject / course
Business Administration
Presentation
2024-01-11, R1-142, Västerås, 09:26 (English)
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Available from: 2024-01-19 Created: 2024-01-12 Last updated: 2025-10-10Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf