What makes TikTok unique is its discovery engine, which uses machine-learning algorithms to show users content they like rather than relying on social graphs.

TikTok's algorithm is highly effective because it personalizes content based on user engagement, making it addictive and relevant to individual users.

TikTok's approach does not require users to answer questions about their interests; instead, it learns from their interactions with content organically.

For TikTok to achieve virality, the content must resonate with the audience; simply pushing content without genuine interest will not lead to success. The complexity of TikTok's algorithms is significant, but what truly sets us apart is our mission and the original purpose of our platform, which focuses on content discovery rather than social networking.

Transitioning from YouTube to TikTok involves understanding a fundamentally different algorithm and content style, focusing on short, engaging videos.

Our mission is to ensure users experience a diversity of content, which is crucial for discovery on TikTok.

The format of content on social media is defined by user behavior; for instance, Instagram popularized lifestyle content through filters, while TikTok reflects cultural trends in short videos.

To improve user experience, platforms like Twitter should provide clearer ways for users to give feedback on content they want to see, rather than relying solely on algorithmic suggestions.

AI-generated educational content, such as TikTok videos featuring deepfake celebrities, is gaining popularity and engagement among students.