- Democracy & participation
- Equality & inclusion
Does reading in a second language cost citizens understanding? A seven-country experiment
For the MultiPoD project we tested, in seven countries, whether reading political information in a second language costs citizens understanding, and whether offering a choice of language helps.
Results
−0.51
correct answers out of six when the same article was read in a second language (control average 3.7)
- Unadjusted: −0.52 answers, 95% confidence interval −0.66 to −0.39.
- Demographics and country fixed effects: −0.52 answers, 95% confidence interval −0.65 to −0.39.
- Full controls: −0.51 answers, 95% confidence interval −0.64 to −0.39.
- Unadjusted: 0.12 answers, 95% confidence interval −0.01 to 0.24, which includes zero.
- Demographics and country fixed effects: 0.13 answers, 95% confidence interval 0.01 to 0.25.
- Full controls: 0.15 answers, 95% confidence interval 0.03 to 0.27.
Intention-to-treat effects of random assignment, pooled across the seven countries and estimated by OLS with HC1 robust standard errors, on the 4,630 multilingual respondents who could be assigned to any of the three versions (4,623 with full controls). Demographics are age, gender and education, with country fixed effects; full controls add whether the respondent speaks English and political interest. Control mean 3.71 correct answers. The gain under choice is statistically significant only once covariates are included. Across all 4,861 multilingual respondents the forced-language estimates are −0.49 to −0.52. The study was not pre-registered, so every specification estimated is shown.
Show the numbers as a table
| Outcome | Estimate (answers) | 95% CI | Control mean | n |
|---|---|---|---|---|
| Forced second language: Unadjusted | −0.52 | −0.66 to −0.39 | 3.71 | 4,630 |
| Forced second language: Demographics and country fixed effects | −0.52 | −0.65 to −0.39 | 3.71 | 4,630 |
| Forced second language: Full controls | −0.51 | −0.64 to −0.39 | 3.71 | 4,623 |
| Choice of language: Unadjusted | 0.12 | −0.01 to 0.24 | 3.71 | 4,630 |
| Choice of language: Demographics and country fixed effects | 0.13 | 0.01 to 0.25 | 3.71 | 4,630 |
| Choice of language: Full controls | 0.15 | 0.03 to 0.27 | 3.71 | 4,623 |
- Forced second language: 0.25 points, 95% confidence interval 0.18 to 0.33.
- Choice of language: 0.00 points, 95% confidence interval −0.08 to 0.07, which includes zero.
Higher means harder. Pooled across the seven countries, full controls with country fixed effects, HC1 robust standard errors, N = 4,623. Control mean 2.92.
Show the numbers as a table
| Outcome | Estimate (points) | 95% CI | Control mean | n |
|---|---|---|---|---|
| Forced second language | 0.25 | 0.18 to 0.33 | 2.92 | 4,623 |
| Choice of language | 0.00 | −0.08 to 0.07 | 2.92 | 4,623 |
- Forced second language: 0.121 log points, 95% confidence interval 0.035 to 0.207.
- Choice of language: 0.092 log points, 95% confidence interval 0.010 to 0.174.
0.121 log points is roughly 13% more time (95% CI about 4% to 23%). Pooled across the seven countries, full controls with country fixed effects, HC1 robust standard errors, N = 4,622. Without covariates the choice estimate is 0.076 and not statistically significant.
Show the numbers as a table
| Outcome | Estimate (log points) | 95% CI | Control mean | n |
|---|---|---|---|---|
| Forced second language | 0.121 | 0.035 to 0.207 | · | 4,622 |
| Choice of language | 0.092 | 0.010 to 0.174 | · | 4,622 |
The question
MultiPoD is building an online space where citizens from across Europe can deliberate on policy across language borders. Before designing how the platform handles language, the consortium needed to know whether language matters: does reading political information in a second language reduce what people take from it, and does offering people a choice of language help?
What we did
We embedded a three-arm experiment in a survey of 8,195 adults in Austria, Belgium, France, Greece, Portugal, Spain and the United Kingdom, recruited through online panels (Bilendi, and Prolific in the United Kingdom) in January and February 2026. Multilingual respondents, people who speak at least one language beyond their first, were randomly assigned to read the same 250-word article on the EU AI Act in one of three ways: in their first language, in their second language with no choice, or in a language of their choosing.
The estimates use the 4,630 multilingual respondents who could be assigned to any of the three versions. Another 231, most of them in Spain, named a second language with no article version, such as Catalan or Basque, so they could not be given the second-language version. Including them changes the estimates very little.
Six factual questions about the article followed immediately. We also asked how difficult the text felt and recorded how long people spent reading it.
The study was not pre-registered. The hypotheses came from earlier research, and we report every specification we estimated: unadjusted, with demographics and country fixed effects, and with full controls.
What we found
Reading in a forced second language cost about half a correct answer: −0.51 on the six-question test (95% CI −0.64 to −0.39), roughly 14% of the control group’s average score of 3.7. The estimate barely moves across specifications, from −0.51 to −0.52. People in that condition also rated the text as harder, by 0.25 points on a five-point scale, and spent roughly 13% longer on it. More effort, less understanding.
Offering a choice avoided the penalty. Outside the United Kingdom, more than nine in ten people offered a choice picked their national language, so most read what they would have read in the control condition. They scored slightly above the control group (+0.15 with full controls, 95% CI 0.03 to 0.27), a difference that is statistically significant only once covariates are included. We found no detectable change in how difficult they found the text. Their reading time was somewhat longer, by about 10% with full controls, so choosing a language is not entirely free of cost.
The penalty is statistically significant in Austria, Belgium, France, Greece and the United Kingdom, and not distinguishable from zero in Portugal and Spain. Country estimates are much less precise than the pooled result and are best read descriptively.
What this cannot tell us
Online panel respondents tend to be younger, more digitally literate and more politically attentive than the general population, so effects in the wider population could be larger. In every country, roughly three quarters or more of the multilingual respondents speak English: the study speaks mainly to citizens with a foreign language alongside the national one.
Speakers of regional, minority and heritage languages with no article version, such as Catalan, Galician or Basque in Spain, could not be assigned to the second-language version. The study therefore does not speak to them, although they are among the groups that matter most for MultiPoD.
The test covers one short, factual article; longer or more technical texts could produce different effects. Completion was about two percentage points lower in the forced second-language group, and bounds that allow for this leave the penalty clearly negative.
What it means for the platform
The study’s recommendations for MultiPoD follow directly from the three findings: default to each user’s preferred language rather than to English, make language choice simple, visible and reversible, label translated or summarised content clearly, and monitor comprehension and effort by language so that no group carries a heavier burden.
Ethos Lab led the study within MultiPoD Work Package 1. MultiPoD is funded by the European Union’s Horizon Europe programme. Views and opinions expressed are those of the authors only and do not necessarily reflect those of the European Union.
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