In a world where social media platforms like TikTok have become an integral part of daily life for many, it is important to understand the mechanisms underlying their addictive nature. One key factor contributing to this addictive behavior is the vast amount of data collected on individual users by these platforms. This data goes beyond just tracking user activity on the platform; it extends to information like photos and user behavior across the entire app ecosystem. This data is not simply observed by human eyes but is fed into algorithms driven by artificial intelligence. These algorithms have the capacity to understand users in a way that may surpass self-awareness, tailoring content specifically to each user's preferences and habits. This targeted content then draws users in, leading to increased engagement and time spent on the platform.
data collection, user behavior, artificial intelligence algorithm, personalized content, addictive nature
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