This study explores how mega- and micro-influencers manage authenticity in their sponsored content based on social network theory, which argues that individuals, groups and organizations are embedded within webs of social relations and interactions that impact their beliefs and actions. It compares their strategies and engagement rates, providing insights into the effectiveness of different influencer types.
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The ARF's 7th Annual Privacy Study surveyed 1,242 American consumers to understand their attitudes towards online privacy, data sharing and trust in institutions. This impactful perennial survey for the first time this year even gauged people’s feelings on AI. The study revealed a decline in perceived knowledge about online privacy, with only 40% of respondents feeling well-informed, down from 46% in 2023. Trust in media and brands also declined, particularly among younger demographics, while medical and financial institutions retained higher trust levels.
The study also highlighted increased resistance to data collection, even when tied to personalization or improved ad experiences. Consumers showed a growing aversion to sharing sensitive information and a heightened sensitivity to data breaches. Emerging concerns about AI and its impact on privacy were also noted, with AI platforms ranking among the least trusted institutions.
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This study explores the impact of Gestalt psychology on consumer behavior in mobile food delivery marketing. By analyzing brainwave activity, the research demonstrates how organizing visual elements in a Gestalt format can influence purchase decisions. The findings reveal that products placed in a Gestalt format led to higher purchase rates and lower cognitive conflict compared to non-Gestalt formats.
The study also highlights the importance of complementary cross-selling products in enhancing the visual Gestalt effect. When main and cross-selling products are placed together in a Gestalt format, consumers experience a more positive emotional response and are more likely to make a purchase. These insights can help marketers optimize product placement interfaces to boost sales and improve user experience.
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This study investigates how the adoption of GPT-4, the first paid GenAI service, influenced early adopters' payments to other digital services. The research provides insights into the payment behavior of early GPT-4 adopters and how it might help calibrate investor expectations of the GenAI market. The study uses a difference-in-differences approach to analyze payment data and offers a comprehensive view of the impact of GPT-4 on consumer payments for other digital services.
The findings suggest that early GPT-4 adopters were significantly more likely to pay for other AI tools like Github Copilot, which offers coding assistance. The study also highlights the potential of GenAI services to replace traditional web-based search tools and automate various service industries.
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