Can you provide an overview of how the platform prioritizes posts in the time tunnel and increases user engagement? I'm particularly curious about what factors the algorithm considers to boost visibility for new content creators. How significant do you think AI's role is in this system? I'd love to hear your thoughts.
What is Twitter's algorithm and how does it affect content distribution?
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When I started using Twitter to share my students' Arduino projects, I noticed that the first tweets I posted barely received any interaction, even though the content was quite technical and useful. After several attempts, I realized that the algorithm prioritizes **recency** of the tweet and **relevance** based on initial interaction: likes, retweets, and replies in the first few minutes. When a post gets some quick reactions, the system shows it to more followers and users with similar interests (e.g., people into maker culture and education). That’s why, when I plan to post, I try to do it during the times my followers are most active (usually in the afternoon), and I always include a question or a call to comment to boost that initial wave of interaction.
Another thing that surprised me is the weight of the **engagement ratio** compared to the number of followers. As a new creator, my account has few followers, but if a tweet gets several likes and retweets proportionally, the algorithm sees it as “valuable” and pushes it to users who don’t follow me yet. In this sense, the algorithm’s AI plays a decisive role: it evaluates behavior patterns and suggests content it thinks will keep people on the platform. So, for emerging creators, the key is to generate early interaction and content that resonates with specific niches, leveraging these AI-based algorithms.