The Anxious Generation
Under Social Media Filter

The rapid integration of artificial intelligence (AI) into social media (SM) has transformed customer experiences, particularly through the widespread use of recommendation algorithms. These algorithms, tailoring content to individual user behaviors, are exemplified by Instagram, boasting 547 million downloads and a global usage share of 39 percent (Statista, 2022a). While AI-driven personalization enhances user engagement, concerns have arisen regarding its impact on mental health, notably depressive disorders (Statista, 2022b).

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This research explores the intricate relationship between AI algorithm-driven content recommendations in Instagram Explore and users' anxiety. By suggesting content based on user engagements, social circles, or admired celebrities, algorithms may inadvertently trigger social comparisons. Understanding the potential impact of AI-powered algorithms on Explore's recommended content is crucial for proactively devising strategies to mitigate adverse effects and foster a positive user experience.