TikTok preparing a US copy of the app’s core algorithm, sources say
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[May 31, 2024] By
Krystal Hu and Sheila Dang
(Reuters) -TikTok is working on a clone of its recommendation algorithm
for its 170 million U.S. users that may result in a version that
operates independently of its Chinese parent and be more palatable to
American lawmakers who want to ban it, according to sources with direct
knowledge of the efforts.
The work on splitting the source code ordered by TikTok’s Chinese parent
ByteDance late last year predated a bill to force a sale of TikTok's
U.S. operations that began gaining steam in Congress this year. The bill
was signed into law in April.
The sources, who were granted anonymity because they are not authorized
to speak publicly about the short-form video sharing app, said that once
the code is split, it could lay the groundwork for a divestiture of the
U.S. assets, although there are no current plans to do so.
The company has previously said it had no plans to sell the U.S. assets
and such a move would be impossible.
TikTok initially declined to comment. After publication of this story,
TikTok in a posting on X said "The Reuters story published today is
misleading and factually inaccurate," without specifying what was
inaccurate.
TikTok also posted a passage from its federal lawsuit: "the 'qualified
divestiture' demanded by the Act to allow TikTok to continue operating
in the United States is simply not possible: not commercially, not
technologically, not legally. And certainly not on the 270-day timeline
required by the Act."
"We stand by our reporting," a Reuters spokesperson said.
TikTok and its Chinese parent company ByteDance sued in U.S. federal
court in May, seeking to block the law forcing a sale or ban of the app
by Jan. 19. A U.S. appeals court on Tuesday set a fast-track schedule to
consider the legal challenges to the new law.
MILLIONS OF LINES OF CODE
In the past few months, hundreds of ByteDance and TikTok engineers in
both the U.S. and China were ordered to begin separating millions of
lines of code, sifting through the company’s algorithm that pairs users
with videos to their liking. The engineers’ mission is to create a
separate code base that is independent of systems used by ByteDance’s
Chinese version of TikTok, Douyin, while eliminating any information
linking to Chinese users, two sources with direct knowledge of the
project told Reuters.
The previously unreported plan provides a rare look into what a
technical separation of TikTok's U.S. operations could be like, and
shows to what lengths TikTok will go to address the bipartisan political
risk it faces. U.S. President Biden and other supporters of the law
argue TikTok gives Beijing far too much access to reams of data,
information that could be used to spy on or influence TikTok’s U.S.
users.
Reuters previously reported that a sale of the app with algorithms is
highly unlikely. The Chinese government in 2020 added content
recommendation algorithms to its export-control list, requiring a
divestiture or sale of TikTok's algorithm to go through its
administrative licensing procedures.
The source code for TikTok’s recommendation engine was originally
developed by ByteDance engineers in China, and customized for operations
in TikTok’s various global markets, including the U.S., according to a
legal filing.
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U.S. flag and TikTok logo are seen in this illustration taken, June
2, 2023. REUTERS/Dado Ruvic/Illustration/File Photo
ByteDance has attributed TikTok’s popularity to the effectiveness of
its recommendation engine, which bases each user’s content feeds on
how they interact with the content they watch.
'OPEN SOURCE'
The complexity of the task that the sources described to Reuters as
tedious “dirty work” underscores the difficulty of splitting the
underlying code that binds TikTok’s U.S. operations to its Chinese
parent. The work is expected to take over a year to complete, these
sources said.
TikTok and ByteDance have vowed to battle the U.S. law in court on
First Amendment grounds. Nevertheless, engineers continue to operate
under orders to disentangle TikTok’s U.S. recommendation engine from
ByteDance’s broader network, the sources said.
An earlier plan to silo off U.S. user data, called Project Texas,
failed to appease U.S. regulators and lawmakers. Now the company is
seeking to escalate its efforts to show its U.S. operations are
independent of its Chinese owner.
At one point, TikTok executives considered open sourcing some of
TikTok's algorithm, or making it available to others to access and
modify, to demonstrate technological transparency, the sources said.
Executives have communicated plans and provided updates on the
code-splitting project during a team all-hands, in internal planning
documents and on its internal communications system, called Lark,
according to one of the sources who attended the meeting and another
source who has viewed the messages.
Reuters could not independently verify internal messages.
Compliance and legal issues involved with determining what parts of
the code can be carried over to TikTok are complicating the work,
according to one source. Each line of code has to be reviewed to
determine if it can go into the separate code base, the sources
added.
The goal is to create a new source code repository for a
recommendation algorithm serving only TikTok U.S. Once completed,
TikTok U.S. will run and maintain its recommendation algorithm
independent of TikTok apps in other regions and its Chinese version
Douyin. That move would cut it off from the massive engineering
development power of its parent company in Beijing, the sources
said.
If TikTok completes the work to split the recommendation engine from
its Chinese counterpart, TikTok management is aware of the risk that
TikTok U.S. may not be able to deliver the same level of performance
as the existing TikTok because it is heavily reliant on ByteDance’s
engineers in China to update and maintain the code base to maximize
user engagement, sources added.
(Reporting by Krystal Hu in New York and Sheila Dang in Austin,
additional reporting by Dawn Chmielewski in Los Angeles; editing by
Kenneth Li and Anna Driver)
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