Evidence map›Paper›PMID 35139114›Full record

ArticlePloS one2022

The interplay of migration and cultural similarity between countries: Evidence from Facebook data on food and drink interests.

Carolina C Vieira, Sophie Lohmann, Emilio Zagheni, Pedro O S Vaz de Melo, Fabrício Benevenuto, Filipe N Ribeiro

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

Carolina C VieiraLaboratory of Digital and Computational Demography, Max Planck Institute for Demographic Research, Rostock, Germany.ORCID 0000-0003-3156-4151
Sophie LohmannLaboratory of Digital and Computational Demography, Max Planck Institute for Demographic Research, Rostock, Germany.
Emilio ZagheniLaboratory of Digital and Computational Demography, Max Planck Institute for Demographic Research, Rostock, Germany.
Pedro O S Vaz de MeloComputer Science Department, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Fabrício BenevenutoComputer Science Department, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Filipe N RibeiroComputer and Systems Department, Federal University of Ouro Preto, Ouro Preto, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Migration has been proposed as one of the factors that shape cultural similarities across countries. However, studying the relationship between culture and migration has been challenging, in part because culture is difficult to quantify. The traditionally used survey questionnaires have a number of drawbacks, including that they are costly and difficult to scale to a large number of countries. To complement survey data, we propose the use of passively-collected digital traces from social media. We focus on food and drink as markers of a country's culture. We then measure similarities between countries in terms of food and drink interests using aggregated data from the Facebook Advertising Platform. Methodologically, we offer approaches to measure the similarity between countries with both symmetric and asymmetric indices. Substantively, we assess the association between migration cultural similarity between countries by comparing our measure of cultural similarity with international migration data. In most countries, larger immigrant populations are associated with more similar food and drink preferences between their country of origin and the country of destination. Our results suggest that immigrants contribute to bringing the culture of their home countries to new countries. Moreover, our study identifies considerable variability in this pattern across countries.

Indexed as

Social MediaBeveragesCultureEmigrants and ImmigrantsEmigration and ImmigrationFemaleFoodHumansMaleSurveys and Questionnaires

Identifiers

PMID35139114
PMCPMC8827441

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.