14 countries with fact-check tests in the studies on this page
10 countries in one vaccine fact-check test, from Brazil to Nigeria
0 countries where that fact-check made people's beliefs worse

Photo: People read the day's headlines in a newspaper's window in Brockton, Massachusetts, in December 1940. Photo by Jack Delano, Library of Congress via Wikimedia Commons, public domain

Our verdict Evidence: High · Checked 12 Nov 2026 · History

False.

A test in 10 countries, from Brazil to Nigeria, checked a fact-check about vaccine myths. It made beliefs more accurate in 8 countries and worse in none. Most other studies on politics, health and climate found the same. But in Brazil, fact-checks did not work during the 2018 election or on Zika myths.

In short. No. In 10 countries, a fact-check about vaccine myths made beliefs more accurate in 8 and worse in none. People do prefer information that agrees with them, and a fact-check often gets weaker over time.

Before we show you the data

Try it yourself first

4 of 10
0 of 103 of 105 of 108 of 1010 of 10 your guess real: 0 of 10

None. In 8 of the 10 countries, beliefs became clearly more accurate. In India and Indonesia, the change was too small to be sure. SRC-PVW2023

Key figures

The numbers that matter

Each figure with its source, period and what it measures.

Every value has a source
STAT-001 To verify

0 of 10countries

countries where a fact-check about vaccine myths made people's beliefs worse

10,600 people · Brazil, France, Germany, India, Indonesia, Mexico, Nigeria, Peru, South Africa, US · 2021

Experiment Original source ↗
STAT-003 To verify

0 of 52topics

political topics where a fact-check made people believe the false claim more

Five US studies · more than 10,100 people

Experiment Original source ↗
STAT-004 To verify

0.59points

how much fact-checks lowered belief in false claims, on a 5-point scale

28 tests · Argentina, Nigeria, South Africa, UK

Experiment Original source ↗
STAT-005 To verify

46% vs 27%

of the most worried people said they would likely get a flu vaccine: without a fact-check, and with one. These are the researchers' estimates

US survey test · 1,000 people · 2012

Experiment Original source ↗
STAT-006 To verify

91 studies

On average across 91 studies, people chose information that agrees with them more often. The researchers call the effect moderate

Review of many studies · just under 8,000 people

Meta-analysis Original source ↗
STAT-002 To verify

16 of 16countries

countries where people judged true news headlines as more accurate than false ones. There was no fact-check in this test

34,286 people on six continents · COVID headlines

Experiment Original source ↗
What people say vs what the data says

Five things people believe

Each belief checked on its own.

  1. 1 Correcting people makes them believe the false claim even more

    No. Not in any of 10 countries tested on vaccine myths. Not on any of 52 political topics tested in the US either.

    False
  2. 2 People prefer information that agrees with them

    Yes. On average across 91 studies, people chose agreeing information more often. In five countries, people picked news that agreed with them about 55% of the time.

    True
  3. 3 Fact-checks only work in rich Western countries

    No. They worked in Nigeria, South Africa, Brazil, Mexico and Peru. But in Brazil's 2018 election, fact-checks did not reduce belief in fake stories.

    False
  4. 4 If people accept a fact, they change what they do

    Not always. After a flu vaccine fact-check, the most worried people believed the myth less but were less willing to get vaccinated.

    False
  5. 5 When asked, most people want news that agrees with them

    No. In the Reuters Institute's 2026 survey, 45% preferred news from sources with no particular point of view. 22% preferred sources that share their views.

    False
Short answers

Questions people also ask

Does this hold outside the US?

Mostly yes. Ethan Porter, Yamil Velez and Thomas Wood tested vaccine fact-checks with 10,600 people in 10 countries. Beliefs became clearly more accurate in 8 countries and worse in none.

Another test ran in Argentina, Nigeria, South Africa and the UK. There, fact-checks lowered belief in false claims by 0.59 points on a 5-point scale. In Australia, voters on the left and the right both believed false statements by politicians less after a fact-check.

But it does not work everywhere. In Brazil's 2018 election, fact-checks did not reduce belief in six fake stories, even among people with no party. In Brazil, a fact-check about Zika did not reduce the myths and made some people doubt true facts too.

Do people also doubt good news about their own country? We checked one case: Is Finland really the happiest country in the world?

Does it work for health and science, not just politics?

Yes, and often more easily. A review of 65 studies found that correcting health myths works better than correcting political or marketing claims. The same review found that real false claims are harder to correct than ones made up for a test.

In the UK, a sheet of vaccine myths and facts lowered belief in the autism myth right after reading. On average, it did not make people believe the myth more. A week later, the difference was too small to be sure.

A smaller 2017 study of 120 students in Scotland and Italy found something different. Belief in the autism myth went back up in the week after reading. The study does not say if it ended higher than before reading. The larger UK study tried to repeat this and could not.

In the US, people learned that 97% of climate scientists agree. Their view of how much scientists agree changed most among conservatives and doubters.

If people accept a fact, do they change what they do?

Not always. In the US, a fact-check said the flu vaccine cannot give you the flu. Fewer people believed the myth. But look at the most worried people. The researchers estimated that 27% of those who read the fact-check would say they were likely to get vaccinated. For those who did not read it, the estimate was 46%.

The 10-country test found no sign that the fact-checks made people want a COVID vaccine more or less.

In a test in France in 2017, people read Marine Le Pen's misleading claims about refugees. Their wish to vote for her rose by 5 percentage points, with or without a fact-check. The fact-check corrected their facts, but not their voting plans.

In Australia, voters liked a politician less when 4 of 5 checked statements were false. They did not like the politician less when half were false.

How often do politicians say false things in the first place? We checked that too: Do politicians lie to people?

What is the backfire effect?

It is the idea that a fact-check makes people believe a false claim even more. A 2010 study by Brendan Nyhan and Jason Reifler made the idea famous.

In the first test, 130 students at one US university took part, and 33 of them were conservatives. Among the conservatives who read a fact-check, 64% agreed that Iraq had weapons of mass destruction before the US invasion. Among those who did not read it, 32% agreed.

Among conservative students, belief also went up after a fact-check about tax cuts. When the researchers ran the Iraq test again, it did not happen.

Five later studies with more than 10,100 people did not find it once. In 2021, Nyhan himself wrote that it is extremely rare.

Is one political side more biased?

Not by much. Peter Ditto and his team looked at 51 studies with more than 18,000 people. They found almost the same bias on the left and the right.

Two other researchers, Jonathan Baron and John Jost, disagree with how this was measured. They say the studies were first made to answer other questions, so they were more likely to find no difference. They also say it may not be a mistake. If you have good reasons for a belief, it can make sense to doubt new information that goes against it.

Ditto's team answered that the studies covered many main topics in US politics. They say both sides had a similar chance to show bias. They also say they chose the studies where the 'it can make sense' explanation fits least.

These 51 studies are all from the US. A test in Europe and the US found that people picked news that agreed with them about 55% of the time.

What we don't know

Why the evidence is rated high

Most of these studies were done in the US and Europe. A review of 155 tests found that over 80% came from rich countries. We found no fact-check test from the Middle East, only one where people judged true and false headlines. Most studies also ask people right after the fact-check. This verdict would change if big studies in many countries found that people often reject fact-checks they do not like.

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For journalists and publishers

Ready-to-use findings

Wording you can copy. Each line says where the number comes from, so your readers can check it.

Always check the original source
Suggested wording Needs verification
In a test with 10,600 people in 10 countries, a fact-check about COVID vaccine myths made beliefs more accurate in 8 countries and worse in none.

Porter, Velez & Wood, Royal Society Open Science, 2023

Suggested wording Needs verification
In five US studies covering 52 topics and more than 10,100 people, researchers found no case where a fact-check made people believe a false claim more.

Wood & Porter, Political Behavior, 2019

How to credit us

How to cite this page

Niskasaari, L. (2026). Do people only believe facts they like? What the data says. FactsOut. Retrieved 12 Nov 2026.

Questions about the data

Lauri Niskasaari

Editor · Questions about the data and corrections are welcome.

Contact ↗
Data access

Download and reuse the data

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Reuse and licensing: CC BY 4.0: free to reuse numbers, tables and the card with credit. If you publish online, please link to this page so readers can find the method and sources.

Behind the verdict

How we checked

Where the figures come from and what they can and cannot tell us.

What we tested

We tested the claim that people only believe facts they like, and five related beliefs.

What it covers

Fact-check tests on vaccines, health, climate and politics in 14 countries, plus studies of judging headlines and choosing news. 23 countries in all. Also reviews that combine many studies on bias, and one large news survey.

Which sources we used

We used published studies that other researchers checked before publication (peer-reviewed), plus the criticism of the main review and the reply to it. On 12 Nov 2026 we searched for studies that support the claim and for studies that go against it.

How we got the data

We read every number in the original study or on the publisher's page. We read most sources in full and a few only as summaries. Each source record says which.

How much data

The studies cover 23 countries on six continents, but most were done in the US and Europe. For the Middle East we found only a test of judging headlines, not a fact-check test. Most studies ask people right after the fact-check.

Our math

We did no calculations of our own on this page. Numbers are shown as the studies report them. For readers who want the statistics: the preference for agreeing information is d = 0.36 (Hart et al. 2009), and the bias is r = 0.235 on the left and r = 0.255 on the right (Ditto et al. 2019).

What it can't tell you

Few studies follow people for more than a few weeks. What people answer in a survey is not always what they do. Fact-checks worked less well in some studies in Brazil, India and Indonesia. Other researchers disagree with the main US review on bias.

Funding, ads and AI use

No funding, no ads and no affiliate links on this page. Drafted with AI help. Before publishing, every number is checked against its original source.

Second check

Two separate checks on 12 Nov 2026 compared every number with its original source. Later that day we added studies from more countries and on health and climate, and two more separate checks compared those numbers with their sources. A final check went through the sentences corrected in those checks.

Sources

Original sources

22 sources
SRC-PVW2023

Ethan Porter, Yamil Velez and Thomas J. Wood

needs-review

Correcting COVID-19 vaccine misinformation in 10 countries. Royal Society Open Science 10(3), 221097

Peer-reviewed experiment · Brazil, France, Germany, India, Indonesia, Mexico, Nigeria, Peru, South Africa, US · Data: June–July 2021 · Published: 2023

Read in full (PMC10014243). Checked twice on 12 Nov 2026.

Open original source
SRC-ARECHAR2023

Antonio A. Arechar and colleagues

needs-review

Understanding and combatting misinformation across 16 countries on six continents. Nature Human Behaviour 7, 1502–1513

Peer-reviewed experiment · Argentina, Australia, Brazil, China, Egypt, India, Italy, Mexico, Nigeria, Philippines, Russia, Saudi Arabia, South Africa, Spain, UK, US · Data: Preregistered survey experiment · Published: 2023

Read in full (author PDF). Tests judging headlines, not fact-checks. Checked twice on 12 Nov 2026.

Open original source
SRC-AIRD2018

Michael J. Aird, Ullrich K. H. Ecker, Briony Swire, Adam J. Berinsky and Stephan Lewandowsky

needs-review

Does truth matter to voters? The effects of correcting political misinformation in an Australian sample. Royal Society Open Science 5(12), 180593

Peer-reviewed experiment · Australia · Data: Survey experiment · Published: 2018

Read in full (PMC6304148). Checked twice on 12 Nov 2026.

Open original source
SRC-BARRERA2020

Oscar Barrera, Sergei Guriev, Emeric Henry and Ekaterina Zhuravskaya

needs-review

Facts, alternative facts, and fact checking in times of post-truth politics. Journal of Public Economics 182, 104123

Peer-reviewed experiment · France (five regions with strong far-right support), March 2017 · Data: 2017 French presidential election · Published: 2020

Read in full (author repository PDF). Checked twice on 12 Nov 2026.

Open original source
SRC-PEREIRA2022

Frederico Batista Pereira, Natália S. Bueno, Felipe Nunes and Nara Pavão

needs-review

Fake news, fact checking, and partisanship: The resilience of rumors in the 2018 Brazilian elections. Journal of Politics 84(4), 2188–2201

Peer-reviewed experiment · Brazil (Minas Gerais) · Data: October 2018 · Published: 2022

Read in full (author PDF). Counter-evidence. Checked twice on 12 Nov 2026.

Open original source
SRC-CAREY2020

John M. Carey, Victoria Chi, D. J. Flynn, Brendan Nyhan and Thomas Zeitzoff

needs-review

The effects of corrective information about disease epidemics and outbreaks: Evidence from Zika and yellow fever in Brazil. Science Advances 6(5), eaaw7449

Peer-reviewed experiments · Brazil · Data: 2017–2018 · Published: 2020

Read in full (PMC6989147). Counter-evidence. Checked twice on 12 Nov 2026.

Open original source
SRC-NR2015

Brendan Nyhan and Jason Reifler

needs-review

Does correcting myths about the flu vaccine work? Vaccine 33(3), 459–464

Peer-reviewed experiment · United States · Data: 2012 survey · Published: 2015

Read in full (author PDF). Checked twice on 12 Nov 2026.

Open original source
SRC-PLUVIANO2017

Sara Pluviano, Caroline Watt and Sergio Della Sala

needs-review

Misinformation lingers in memory: Failure of three pro-vaccination strategies. PLoS One 12(7), e0181640

Peer-reviewed experiment · Scotland and Italy · Data: Two tests, one week apart · Published: 2017

Read in full (PMC5547702). Checked twice on 12 Nov 2026. Counter-evidence. The 2023 UK study by Ecker et al. tried to repeat it and could not.

Open original source
SRC-ECKER2023

Ullrich K. H. Ecker, Caitlin X. M. Sharkey and Briony Swire-Thompson

needs-review

Correcting vaccine misinformation: A failure to replicate familiarity or fear-driven backfire effects. PLoS One 18(4), e0281140

Peer-reviewed experiment · United Kingdom · Data: Online experiment, one-week follow-up · Published: 2023

Read in full (PMC10096191). Checked twice on 12 Nov 2026.

Open original source
SRC-VDL2019

Sander van der Linden, Anthony Leiserowitz and Edward Maibach

needs-review

The gateway belief model: A large-scale replication. Journal of Environmental Psychology (2019)

Peer-reviewed experiment · United States · Data: Survey experiment · Published: 2019

Read in full (accepted manuscript). Checked twice on 12 Nov 2026.

Open original source
SRC-STEPPAT2022

Desiree Steppat, Laia Castro Herrero and Frank Esser

needs-review

Selective exposure in different political information environments: How media fragmentation and polarization shape congruent news use. European Journal of Communication 37(1), 82–102

Peer-reviewed experiment · Switzerland, Denmark, Italy, Poland, United States · Data: Online experiment · Published: 2022

Read in full (PMC8958559). Checked twice on 12 Nov 2026.

Open original source
SRC-WM2018

Nathan Walter and Sheila T. Murphy

needs-review

How to unring the bell: A meta-analytic approach to correction of misinformation. Communication Monographs 85(3), 423–441

Meta-analysis · Mostly United States · Data: 65 studies · Published: 2018

Abstract only. Checked twice on 12 Nov 2026.

Open original source
SRC-BLAIR2024

Robert A. Blair and colleagues

needs-review

Interventions to counter misinformation: Lessons from the Global North and applications to the Global South. Current Opinion in Psychology 55, 101732

Peer-reviewed review · Global · Data: Review of 155 randomized tests · Published: 2024

Read in full (PDF). Checked twice on 12 Nov 2026.

Open original source
SRC-WP2019

Thomas Wood and Ethan Porter

needs-review

The elusive backfire effect: Mass attitudes' steadfast factual adherence. Political Behavior 41(1), 135–163

Peer-reviewed experiments · United States · Data: Five experiments · Published: 2019

Read in full. Checked twice on 12 Nov 2026.

Open original source
SRC-PW2021

Ethan Porter and Thomas J. Wood

needs-review

The global effectiveness of fact-checking. PNAS 118(37), e2104235118

Peer-reviewed experiments · Argentina, Nigeria, South Africa, United Kingdom · Data: 28 experiments, follow-up about two weeks later · Published: 2021

Read in full. Checked twice on 12 Nov 2026.

Open original source
SRC-NYHAN2021

Brendan Nyhan

needs-review

Why the backfire effect does not explain the durability of political misperceptions. PNAS 118(15), e1912440117

Peer-reviewed review · Mostly United States · Data: Review · Published: 2021

Read in full in the second check.

Open original source
SRC-HART2009

William Hart and colleagues

needs-review

Feeling validated versus being correct: A meta-analysis of selective exposure to information. Psychological Bulletin 135(4), 555–588

Meta-analysis · Mostly United States · Data: 91 studies · Published: 2009

Read in full. Checked twice on 12 Nov 2026.

Open original source
SRC-DITTO2019

Peter H. Ditto and colleagues

needs-review

At least bias is bipartisan: A meta-analytic comparison of partisan bias in liberals and conservatives. Perspectives on Psychological Science 14(2), 273–291

Meta-analysis · United States · Data: 51 studies · Published: 2019

Abstract of the published version. Checked twice on 12 Nov 2026.

Open original source
SRC-BARON2019

Jonathan Baron and John T. Jost

needs-review

False equivalence: Are liberals and conservatives in the United States equally biased? Perspectives on Psychological Science 14(2), 292–303

Peer-reviewed critique · United States · Data: Commentary · Published: 2019

Abstract.

Open original source
SRC-DITTO2019B

Peter H. Ditto and colleagues

needs-review

Partisan bias and its discontents. Perspectives on Psychological Science 14(2), 304–316

Peer-reviewed reply · United States · Data: Reply · Published: 2019

Read in full in the second check.

Open original source
SRC-NR2010

Brendan Nyhan and Jason Reifler

needs-review

When corrections fail: The persistence of political misperceptions. Political Behavior 32(2), 303–330

Peer-reviewed experiments · United States · Data: Four experiments reported (a fifth only in a footnote), 2005–2006 · Published: 2010

Read in full, footnote 21. Checked twice on 12 Nov 2026.

Open original source
SRC-REUTERS2026

Reuters Institute (Rasmus Kleis Nielsen)

needs-review

Can public demand for impartial news survive platforms and polarisation? Digital News Report 2026

Survey · All markets in the Digital News Report 2026 · Data: 2026 survey · Published: 2026-06-16

45% and 22% from the article. Not comparable with the 2020 figures because the markets differ.

Open original source
Version history

Verdict and change history

2026-11-12
First version. Verdict: False.

New claim page. Same day: plain language, and studies from 23 countries and on health and climate added after Lauri's request.

Free to reuse

Numbers first. Context always.

CC BY 4.0: free to reuse numbers, tables and the card with credit. If you publish online, please link to this page so readers can find the method and sources.

Niskasaari, L. (2026). Do people only believe facts they like? What the data says. FactsOut. Retrieved 12 Nov 2026.