There's a growing debate about whether TikTok's recommendation engine should be tweaked to favor a broader range of content rather than just the most engaging clips. Proponents argue that a diversity‑focused algorithm could surface under‑represented creators and topics, improving the platform’s cultural richness. Critics worry that reducing the emphasis on engagement could dilute user experience and lower overall satisfaction. From a product perspective, balancing relevance with variety is tricky. How do you think the algorithm should be optimized? Should we sacrifice some short‑term engagement for long‑term ecosystem health? Would love to hear your thoughts.
Should TikTok’s algorithm prioritize content diversity over engagement metrics?
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I built a tiny Python script to pull my TikTok feed and noticed it kept looping the same viral dances, so I tweaked it to pull videos with niche hashtags—my watch time dropped a bit, but the variety made the experience feel richer, showing that a small trade‑off in short‑term engagement can help the platform stay culturally diverse.