Seeing Like an Algorithm — Remains of the Day

This, then, is the magic of the design of TikTok: it is a closed loop of feedback which inspires and enables the creation and viewing of videos on which its algorithm can be trained.For its algorithm to become as effective as it has, TikTok became its own source of training data.

Not only does TikTok capture very clean signals of sentiment from its users, it also gathers a tremendous volume of them per session. Videos on TikTok are so short that even in a brief session, TikTok can gather a lot of feedback on your tastes.

The dominant school of thought when it comes to UI design in tech, at least that I’ve grown up with the past two decades, has centered around removing friction for users in accomplishing whatever it is they’re trying to do while delighting them in the process. The goal has been design that is elegant, in every sense of the word: intuitive, ingeniou... See more

Understanding how the algorithm achieves its accuracy matters even if you’re not interested in TikTok or the short video space because more and more, companies in all industries will be running up against a competitor whose advantage centers around a machine learning algorithm.

In a unique sort of chicken and egg problem, the very types of video that TikTok’s algorithm needed to train on weren’t easy to create without the app’s camera tools and filters, licensed music clips, etc.

Algorithm-friendly design need not be user-hostile. It simply takes a different approach as to how to best serve the user’s interests. Pagination may insert some level of friction to the user, but in doing so, it may provide the algorithm with cleaner signal that safeguards the quality of the feed in the long run.

Minimizing friction is merely one means to a great user experience. The goal of any design is not to minimize friction, it’s to help the user achieve some end. Reducing friction is often consistent with that end, but not always.