Evidence map›Paper›PMID 38811678›Full record

ArticleScientific reports2024

Identity and inequality misperceptions, demographic determinants and efficacy of corrective measures.

K Peren Arin, Deni Mazrekaj, Marcel Thum, Juan A Lacomba, Francisco Lagos

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

K Peren ArinZayed University, Abu Dhabi, United Arab Emirates.
Deni MazrekajUtrecht University, Utrecht, The Netherlands.ORCID 0000-0002-3311-6056
Marcel ThumTU Dresden, Dresden, Germany. marcel.thum@tu-dresden.de.
Juan A LacombaUniversity of Granada, Granada, Spain.
Francisco LagosUniversity of Granada, Granada, Spain.

Funding

Zayed University RIF R19064
6 · The paper itself

Abstract

By conducting two waves of large-scale surveys in the United Kingdom and Germany, we investigate the determinants of identity and inequality misperceptions. We first show that people substantially overestimate the share of immigrants, Muslims, people under the poverty line, and the income share of the richest. Moreover, women, lower-income, and lower-educated respondents generally have higher misperceptions. Only income share misperceptions are associated more with people who place themselves on the left of the political spectrum. In contrast, the other three misperceptions are more prevalent among those who place themselves to the right. We then attempt to correct misperceptions by conducting a classic controlled experiment. Specifically, we randomly assign respondents into a treatment group informed about their initial misperceptions and a control group left uninformed. Our results indicate that information treatments had some corrective effects on misperceptions in Germany but were ineffective in the United Kingdom. Moreover, information treatments in Germany were more effective for men, centrists, and highly educated respondents. There is also no evidence of spill-over effects: correcting one misperception does not have corrective effects for the other misperceptions.

Indexed as

Socioeconomic FactorsAdultDemographyEmigrants and ImmigrantsFemaleGermanyHumansIncomeIslamMaleMiddle AgedSurveys and QuestionnairesUnited KingdomCOVID-19IdentityImmigrationInequalityInformation treatmentMisinformationPerception biasPoverty

Identifiers

PMID38811678
PMCPMC11136970

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.