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Reading: TikTok Algorithm Under Scrutiny After ByteDance–US Joint Venture Deal
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PhotoNews Pakistan > Tech > TikTok Algorithm Under Scrutiny After ByteDance–US Joint Venture Deal
Tech

TikTok Algorithm Under Scrutiny After ByteDance–US Joint Venture Deal

Web Desk
By Web Desk Published December 21, 2025 5 Min Read
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TikTok’s content recommendation algorithm has returned to the spotlight after its Chinese parent, ByteDance, signed binding agreements to form a joint venture that will place control of TikTok’s US operations in the hands of American and global investors, including Oracle.

The move aims to avert a potential US ban on TikTok and ease long-standing technology and trade tensions between Washington and Beijing. However, it has also raised fresh questions about who ultimately controls the platform’s most valuable asset: its algorithm.

Is ByteDance Giving Up Control?

Although the new joint venture marks significant progress toward securing TikTok’s future in the United States, uncertainty remains over the fate of the algorithm itself.

Rush Doshi, a former National Security Council official under Joe Biden, said it is still unclear whether the algorithm has been transferred, licensed, or remains under Beijing’s control, with Oracle potentially limited to oversight and monitoring.

The recommendation system sits at the heart of TikTok’s global success. Until recently, ByteDance maintained it would rather shut down TikTok in the US than sell or fully transfer the algorithm.

However, Reuters reported in September that ByteDance planned to keep ownership of TikTok’s US business while ceding operational control of data, content moderation, and the algorithm to the joint venture. Under this structure, the joint venture would manage US user data and algorithmic operations. At the same time, a separate ByteDance-owned entity would retain revenue-generating activities such as advertising and e-commerce.

TikTok's Chinese owner ByteDance signed binding agreements to hand control of the short video app's US operations to a group of investors, including Oracle, in a big step toward avoiding a US ban and ending years of uncertainty https://t.co/G4I7B3xTip pic.twitter.com/b8exgI4FeZ

— Reuters (@Reuters) December 19, 2025

Sources familiar with the agreement say these arrangements remain intact. ByteDance’s US entity would continue generating revenue, while the joint venture would earn fees for providing technology and data services.

China’s position remains unclear. Beijing revised its export rules in 2020, granting the government approval rights over the export of algorithms and source code. That regulation adds another layer of complexity to any transfer or licensing deal.

Why TikTok’s Algorithm Is So Powerful

Analysts agree that TikTok’s success stems not only from its algorithm but also from its approach to short-form video, unlike platforms such as Meta, which rely heavily on a “social graph.” TikTok bases its recommendations on interest signals. The system quickly learns what users watch, skip, replay, or engage with, then adapts in real time.

Because videos are short, the algorithm updates preferences rapidly. It can even detect shifts in interests throughout the day. In addition, TikTok was built as a mobile-first platform from the start, giving it a structural edge over rivals that later adapted to smartphones.

Read: ByteDance Finalises TikTok US Joint Venture to Avert Nationwide Ban

Early market entry also played a role. Instagram launched Reels in 2020, while YouTube, owned by Alphabet, introduced Shorts in 2021. Both entered the space years after TikTok had already refined its data and product experience. TikTok also pushes content beyond users’ known interests, a design choice the company says is central to discovery.

A joint US–German study published last year found that TikTok’s algorithm exploited known user interests in 30%-50% of recommended videos. The rest consisted of exploratory content designed to test preferences or keep users engaged longer.

The researchers concluded that TikTok deliberately balances personalisation with exploration. This approach helps the platform refine user profiles while maximising retention, even by recommending videos outside established interests.

*With additional information incorporated from Reuters news reporting.

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