What's better about TikTok's AI vs Facebook's?

2023 © Wikiask
Main topic: Tech
Short answer:
  • TikTok's AI is considered one of the first to identify generally interesting content correctly, without relying on a user's social connections.[1]
  • Even Mark Zuckerberg has recognized this in an October 2022 interview.[2]

TikTok's artificial intelligence (AI)-driven algorithmic personalization elevated things to a whole new level. TikTok enabled content producers to engage with viewers based on shared interests, which led to the development of a mutually beneficial ecosystem. And in order to accomplish this result, it used a two-pronged strategy:

  • First, it curated a tailored "For You Page" to maintain the attention of app users
  • Second, it expanded the reach of influencers in order to compensate them for the excellent material they produced.

Making use of these strategies kept creators and users engaged and ultimately led to their addiction to the app. [3]

TikTok AI altered the norms of the competition by centering its design on the needs of its users[edit]

The number of people who saw the content or followed the account was used to determine how likely it was to become viral. On the other hand, it focused on gathering information from users in order to get a better understanding of their preferences and implementing recommendation engines that were driven by AI. It made advantage of its skills for self-learning to hone in on the preferences of the user and only propose material that the viewer might be interested in seeing.[4]

Three centered TikTok's AI phenomena

  • An artificial intelligence engine capable of self-training
  • Tagged Content
  • Check on User profiles and scenarios

The data, the properties of the data, the engagement metrics, and the algorithm that governs the data all play a role in the connection between these aspects. This interaction has a purpose that is quite apparent, and that is to maintain audience engagement inside the app for the longest amount of time feasible.

TikTok stars Charli and Dixie D'Amelio on being bullied online

Examination of content through the use of AI and Natural language processing[edit]

After the user has uploaded the material, it is subjected to a double-check to ensure that it does not include anything harmful or sensitive.

The material that was created by users is first analyzed by a computer vision-based engine that identifies any instances of copyright infringement. In addition to that, it prevents visitors from being directed to duplicate material. At the same time, the program review makes use of natural language processing (NLP) to construct transcriptions in order to better comprehend the material. In the end, the metadata are taken into consideration when determining whether or not the material is in accordance with the norms and regulations.

A comprehensive manual examination of the information that was reported is carried out during the second stage of the audit. If it is determined that the films in question violate the terms and conditions of the platform, then the videos in question will be removed.[5]

Performance-based on the measured weight of user engagement[edit]

The data necessary to assess the reaction of the audience are collected by the platform when the content is sent into the first traffic pool. The number of likes, unique views, complete views, comments, reposts, follower growth, shares, rewatches, and so on is some of the key data that are collected during this stage.

The recommendation engine will be able to evaluate the performance of the material and give it a score based on these inputs. This score will indicate the content's level of quality, emotional resonance, and engagement. The high-performing content, which is capped at the top 10%, rises to the top in batches as it receives more exposure to visitors.[6]

Accelerator for creating profiles based on feedback ‍[edit]

The traffic pool is then put through further analysis of the AI engine, which makes use of the input that was gathered on the stage before it, in order to arrive at a judgment about the next step in the process. The material that is doing very well is then pushed even more to focus on certain user groups and profiles, which helps to reinforce its position.[7]

TikTok Engagement, Source: Wallaroomedia

Customized versions of popular pools[edit]

Only a fraction of one percent of all material ever created makes it into the favored trending pool. These pieces of material get unparalleled exposure, which is orders of magnitude more than that of any of their contemporaries. No consideration is given to the user profile or the interests of the user when deciding which top-tier content items should be pushed.[8]

Focusing on the older content with the possibility of getting viral again[edit]

TikTok's artificial intelligence program, often referred to as the gravedigger, sifts through older material in order to locate high-quality content or user profiles that should be recognized. It identifies the profile and brings it to the forefront of attention.

If for any reason a person finds himself on the FYP, they could go back over some of their prior material and interact with it. This effect, often known as the fashionable effect, gives your material a fresh start and a new lease on life. Find out what their hobbies are.[9]

What makes TikTok's AI stronger than another social network[edit]

The sort of content that users are so compulsively entering into the app is one of the primary distinctions that sets Facebook and TikTok apart from one another. TikTok is all about just videos, mainly short-form films in which users record themselves engaging in a variety of comedic activities. Some of the most popular types of videos on the platform are lip-syncing music videos, dance videos, and comedy skits. On the other hand, Facebook contains everything, and unlike TikTok, it is not focused on just one media type.

TikTok's expansion and continued success are directly attributable to the use of an AI-powered recommender system, regardless of the specific method or process. It has stimulated content production, kept engagement rates at a healthy level, and reduced the number of users leaving the site, which is the ideal formula for any digital application. The same may be said for various types of enterprises that are now functioning in the digital environment.[10]


  1. www.tandfonline.com. doi:10.1080/19443927.2021.1915617 https://www.tandfonline.com/action/cookieAbsent. Retrieved 2022-10-30. Missing or empty |title= (help)
  2. Exclusive: Mark Zuckerberg on the Quest Pro, future of the metaverse, and more, retrieved 2022-10-30
  3. Wang, Catherine (2020-06-07). "Why TikTok made its user so obsessive? The AI Algorithm that got you hooked". Medium. Retrieved 2022-10-31.
  4. "TikTok Revenue and Usage Statistics (2022)". Business of Apps. 2019-01-10. Retrieved 2022-10-31.
  5. Rangaiah, Mallika. "What is TikTok and How is AI Making it Tick? | Analytics Steps". www.analyticssteps.com. Retrieved 2022-10-31.
  6. Patel, Ankur A. "How TikTok Uses AI to Engineer User Addiction". www.ankursnewsletter.com. Retrieved 2022-10-31.
  7. Rangaiah, Mallika. "What is TikTok and How is AI Making it Tick? | Analytics Steps". www.analyticssteps.com. Retrieved 2022-10-31.
  8. "TikTok Is Working on a New, Opt-In Function to Show You Who Viewed Your Profile". Social Media Today. Retrieved 2022-10-31.
  9. "How is Artificial Intelligence Making TikTok Tick? | Service Marketing and Technology". wordpress.lehigh.edu. Retrieved 2022-10-31.
  10. DataSadak. "What Makes TikTok Algorithm So Powerful? | DataSadak". Retrieved 2022-10-31.