Please use this identifier to cite or link to this item: http://hdl.handle.net/10362/175208
Title: Byte by byte: Influence of content generator - Investigating the impact of AI-generated content on health outcomes
Author: Gonçalves, Armindo Pereira
Advisor: Pinto, Diego Costa
Carrilho, Mariana Girão
Keywords: AI-generated content
healthy habits
consumer behavior
trust
social influence
SDG 3 - Good health and well-being
SDG 12 - Responsible production and consumption
Defense Date: 31-Oct-2024
Abstract: The rise of AI-generated content on social media has introduced new dynamics in digital engagement. Despite the increasing prevalence of AI in creating engaging content, its impact on consumer behavior, particularly concerning health outcomes, remains underexplored. This study investigates the impact of content creators on user engagement in healthy habits. Through an online experiment, this research explores the type of content creator (AI vs. human-generated) to measure the impact on user intention, risk perception, loyalty, and behavioral intention. The findings reveal that human-generated content significantly outperforms AI-generated content in promoting healthy habits, fostering user loyalty, and enhancing behavioral intention, while AI-generated content is associated with higher risk perception. The results suggest that while AI can be a powerful tool for content creation, human elements remain crucial for building trust and effectively engaging users in healthrelated behaviors. This research contributes to the literature by providing empirical evidence on the differential impacts of AI and human content creators in social media marketing, highlighting the importance of the human touch in digital health promotion strategies.
Description: Dissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Marketing Intelligence
URI: http://hdl.handle.net/10362/175208
Designation: Mestrado em Marketing Analítico, especialização em Inteligência de Marketing
Appears in Collections:NIMS - Dissertações de Mestrado em Marketing Analítico (Data-Driven Marketing)

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