ArticlePloS one2020
Monitoring of the Venezuelan exodus through Facebook's advertising platform.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.
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.
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.
Who cites it
15 citing papers in PubMed, 55 citations in OpenAlex.
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- Digital solutions for migrant and refugee health: a framework for analysis and action.The Lancet regional health. Europe · 2025Review
- Estimation of internal displacement in Ukraine from satellite-based car detections.Scientific reports · 2024Article
- The Venezuelan Humanitarian Crisis, Out-Migration, and Household Change Among Venezuelans in Venezuela and Abroad.Demography · 2024Article
- Forecasting migration movements using prediction markets.Comparative migration studies · 2024Article
- Article
- Mathematical modeling to study the impact of immigration on the dynamics of the COVID-19 pandemic: A case study for Venezuela.Spatial and spatio-temporal epidemiology · 2022Article
- Forecasting asylum-related migration flows with machine learning and data at scale.Scientific reports · 2022Article
- Using Facebook advertising data to describe the socio-economic situation of Syrian refugees in Lebanon.Frontiers in big data · 2022Article
- What we do know (and could know) about estimating population sizes of internally displaced people.Journal of migration and health · 2022Article
- Using social media advertisement data to monitor the gender gap in STEM: opportunities and challenges.PeerJ. Computer science · 2022Article
- Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data.Frontiers in big data · 2022Article
- The potential of Facebook advertising data for understanding flows of people from Ukraine to the European Union.EPJ data science · 2022Article
- Key opportunities and challenges for the use of big data in migration research and policy.UCL open. Environment · 2021Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Venezuela is going through the worst economical, political and social crisis in its modern history. Basic products like food or medicine are scarce and hyperinflation is combined with economic depression. This situation is creating an unprecedented refugee and migrant crisis in the region. Governments and international agencies have not been able to consistently leverage reliable information using traditional methods. Therefore, to organize and deploy any kind of humanitarian response, it is crucial to evaluate new methodologies to measure the number and location of Venezuelan refugees and migrants across Latin America. In this paper, we propose to use Facebook's advertising platform as an additional data source for monitoring the ongoing crisis. We estimate and validate national and sub-national numbers of refugees and migrants and break-down their socio-economic profiles to further understand the complexity of the phenomenon. Although limitations exist, we believe that the presented methodology can be of value for real-time assessment of refugee and migrant crises world-wide.
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Registered trials
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.