How does TikTok’s algorithm work?

How does TikTok’s algorithm work?

By dayannastefanny

One of the most important features of any social network is the search algorithm and recommendations: it is responsible for determining which content will be relevant and which will not. You are responsible for choosing which topics other users should consider, based on their values, interests, and preferences, as well as their status, interactions, and other information. TikTok’s algorithm allows you to connect with other users and find new content, which is an important factor in getting a good experience on the network, as well as products to stand out and reach your audience.

Factors that influence ranking

Among the points that the TikTok algorithm considers ranking your content stand out above all the interactions of users, such:

  • The videos you like
  • The videos they share
  • The accounts they follow
  • The comments you post
  • The content created by the user himself
  • Video information, which may include details such as subtitles, sounds, and hashtags.
  • Device and account settings, such as your language preference, country settings, and device type. The latter factors are included to ensure the system is optimized for performance but receives less weight in TikTok’s algorithm relative to other data, mainly because users do not actively express them as preferences.

How is the feed set up in TikTok?

The micro-video social network ensures that, while a video is likely to receive more views if it is posted by an account that has more followers, neither the follower base nor whether the account has had high-performing videos in the past will have much weight in its ranking: the key is the hyper-personalization of the results offered.

With this information, the platform can create an initial feed and from there begin to refine recommendations based on interactions with the first set of videos. If any user does not want to select their favorite categories, the platform will start by offering a generalized feed of popular videos.

Thus, each new conversation helps the system learn about your interests and suggest content:

sign up for new accounts, and search for hashtags, sounds, triggers, and topics in the Discover tab to enhance the user experience.

But TikTok’s algorithm can also work in reverse:

when a user finds a video, they don’t like, they can hold down and click “dislike” to close it, or they can hide the video from another creator, listen to it or alert them when the video plays. that it’s not interesting. follow the platform’s strategy.

what is the bubble effect?

It is a phenomenon that occurs in the markets, largely due to speculation, characterized by an abnormal, uncontrolled, and prolonged rise in the price of an asset or product.

TikTok wants to avoid the “bubble effect”.

One more battle that the social network has taken to concurcomer the feed of its users substantive and appealing is to include various types of aphorism annexed with those that the successor has selected: elevation endorses not to commend duplicate gauging, that has been spent beforehand or any gauging loved as spam.

Moreover, its predilection system is even designed in pad to security: videos that have just been uploaded, that are under review, and those videos that seek to chemically guise aggrandize the voyage may not be eligible for predilection in the users’ feed.

As explained by the social network itself: “Our predilection system is even designed with safety in abalorio in mind. The gauging that sign things like medical procedures or notarial consumption of regulated character, for example, which may be surprising if it appears as a sensible tape to a accustomed sagacity who has not opted for apothegm gauging, may not be eligible for predilection. Similarly, videos that are just screwed up or being reviewed, and spam aphorism, such as videos that seek to artificially aggrandize traverse, may not even be eligible for predilection for anyone’s feed.”

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