The headline describes a UK finding from the 2024 general election period. A BBC project using fictional profiles reported that election-related misleading material, including memes and AI-generated videos, was being recommended to young TikTok users. That is a set of reported observations, not a measured share of what young people see. A separate 2026 study of TikTok during the 2024 US presidential campaign found partisan skews in recommended content, but it did not measure misinformation. The two bodies of evidence answer different questions and should be read separately.
The UK reporting behind the headline
The headline comes from a Tech Times article published on June 3, 2024. It attributes its observations to the BBC’s Undercover Voters project, which used information and analysis from the National Centre for Social Research (NatCen) to create profiles for 24 fictional people on major social platforms. The BBC’s original material was not independently checked for this article, so the project details below are as Tech Times described them.
What the profiles encountered
According to the Tech Times account, the profiles were shown election-related misleading content, including memes and AI-generated videos. Examples it describes include:
- A false claim that Rishi Sunak called an early election in response to a serious crisis.
- A claim blaming Keir Starmer for Jimmy Savile’s non-prosecution.
- AI-generated material suggesting that an announced national-service plan for 18-year-olds meant young people would be sent to conflicts in Gaza or Ukraine.
Some of these videos carried satire or parody subtitles. Comments under some of them indicated that viewers were unsure what was true, which is the most direct signal in the report of how audiences received the material. The report does not give a count of how many videos were found relative to how many were shown.
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What TikTok said in 2024, and why it is dated
Tech Times reported that TikTok told sources it had increased efforts to debunk false material ahead of the UK election, including AI labeling and adding a fact-checking specialist. The same article describes an April 2024 update to TikTok’s For You feed eligibility standards, with new guidelines due to take effect on May 17, 2024.
These are descriptions of the platform’s position at the time. They are not evidence of TikTok’s current rules, and readers should not treat them as present-day policy.
The UK figures that often travel with the headline
Several numbers circulate alongside the BBC project. All three are attributed to Tech Times’ 2024 reporting, and none was independently verified for this article.
| Figure | Value as reported | Attributed source | Qualification |
|---|---|---|---|
| Fictional profiles in the BBC project | 24 | BBC Undercover Voters project, as described by Tech Times (2024) | Constructed accounts. They are not a sample of real young users. |
| UK adults using TikTok as their primary news source | 10% (2023) | Ofcom, as cited by Tech Times (2024) | Measures news use, not the share of content that is misleading. The underlying Ofcom publication was not checked. |
| UK teenagers regarding TikTok as their most significant news source | 10% | Ofcom, as cited by Tech Times (2024) | The report does not give a survey year. The underlying Ofcom publication was not checked. |
Taken together, these figures show that a meaningful minority of adults and teenagers use TikTok for news. They do not show how much of any young person’s feed is misleading.
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The 2026 Nature audit of US recommendations
A paper in Nature, published May 6, 2026, by Ibrahim and colleagues, audited TikTok’s recommendations during the 2024 US presidential campaign. Its title is “Systematic partisan content skews in TikTok during the 2024 US elections.” It is a controlled study of partisan exposure, and it is the only one of the two bodies of evidence based on measured recommendation data.
How the audit was built
- 323 successful experiments, producing more than 280,000 recommendations.
- Collection over 27 weeks, using accounts in New York, Texas, and Georgia.
- Accounts seeded with a partisan orientation, Republican-seeded and Democratic-seeded, compared against each other.
- Account age standardized at 22 to 24 years.
- English-language transcripts only, so the findings do not represent other languages.
- A survey of 1,008 US TikTok users. The authors state that it was not nationally representative and did not measure downstream changes in political attitudes or behavior.
What it found
| Account group | Reported difference | What it measures |
|---|---|---|
| Republican-seeded accounts | About 11.5% more co-partisan content than Democratic-seeded accounts | Recommendation exposure in the controlled audit |
| Democratic-seeded accounts | About 7.5% more cross-partisan content, largely anti-Democratic material | Recommendation exposure in the controlled audit |
These are differences in what partisan-seeded test accounts were recommended. They are not misinformation rates, and they do not describe what typical young users see.
What the audit cannot tell you
The authors are direct about the limits of their data. In their words, “the specific mechanism—whether algorithmic rules, content supply or other factors—cannot be determined from our data.” The study therefore cannot say whether the asymmetry comes from how TikTok ranks content, from what creators post, or from something else. It also cannot say whether the skew changed anyone’s views or voting.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Comparing the two bodies of evidence
| Dimension | UK reporting (2024) | US audit (2026) |
|---|---|---|
| Geography and election | UK general election period, as covered in June 2024 | US presidential campaign of 2024, accounts in New York, Texas, and Georgia |
| Design | Fictional profiles built with NatCen input, as described by Tech Times | Controlled, partisan-seeded accounts across 323 successful experiments |
| Outcome measured | Election-related misleading content shown to the profiles | Partisan skew in recommended content |
| Who is represented | Not stated beyond the 24 profiles | Account age standardized at 22 to 24; English transcripts; survey not nationally representative |
| Prevalence reported | Not stated; no ratio of misleading to total content is given | Not measured as misinformation |
| Causal reach | Describes exposure and reactions, not causes | Mechanism undetermined; attitude and behavior effects not measured |
The two studies cannot be combined into one estimate. They differ in country, election, method, and outcome.
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How to read claims about young voters and TikTok
- Identify the design first. Fictional profiles, real users, and seeded test accounts support different conclusions.
- Look for a denominator. A count of misleading videos found says little without the total number of videos shown.
- Separate exposure from belief. Comments expressing confusion are evidence of uncertainty, not a measure of what viewers came to believe.
- Check the date of any platform statement. Descriptions of 2024 policy changes do not establish current practice.
- Check coverage limits. Age, language, and national representativeness determine which groups a finding can speak about.
Questions the current evidence leaves open
- How common misleading election content was in the feeds of real young UK users, rather than in constructed profiles, has not been established by the reporting described here.
- Whether the partisan skews documented in US recommendations appear in UK feeds, or in feeds using languages other than English, is not known from the audit.
- Whether TikTok’s recommendation behavior in 2026 resembles what was observed in 2024 is not something either body of evidence can answer.
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