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Migration nowcasting using Google Trends: cross-country application
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-44584-3_22openalex-snapshot
Digital Footprints of International Migration on Twitter
inferredcites →https://doi.org/10.1007/s11111-020-00338-6openalex-snapshot
Using geotagged tweets to track population movements to and from Puerto Rico after Hurricane Maria
inferredcites →https://doi.org/10.1007/s11135-020-01047-wopenalex-snapshot
How well can we estimate immigration trends using Google data?
inferredcites →https://doi.org/10.1007/s13524-018-0715-2openalex-snapshot
Promises and Pitfalls of Using Digital Traces for Demographic Research
inferredcites →https://doi.org/10.1016/j.jdeveco.2019.04.002openalex-snapshot
Searching for a better life: Predicting international migration with online search keywords
inferredcites →https://doi.org/10.1016/j.techfore.2017.11.009openalex-snapshot
Ten years of research change using Google Trends: From the perspective of big data utilizations and applications
inferredcites →https://doi.org/10.1038/nature07634openalex-snapshot
Detecting influenza epidemics using search engine query data
inferredcites →https://doi.org/10.1111/1468-2435.00235openalex-snapshot
Highly Skilled and Business Migrants: Information Processes and Settlement Outcomes
inferredcites →https://doi.org/10.1140/epjds/s13688-019-0204-xopenalex-snapshot
Dissecting global air traffic data to discern different types and trends of transnational human mobility
inferredcites →https://doi.org/10.1186/s40878-021-00273-xopenalex-snapshot
Measuring migration 2.0: a review of digital data sources
inferredcites →https://doi.org/10.1371/journal.pmed.1001083openalex-snapshot
Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti
inferredcites →https://doi.org/10.1371/journal.pone.0133630openalex-snapshot
Measures of Human Mobility Using Mobile Phone Records Enhanced with GIS Data
inferredcites →https://doi.org/10.15838/esc.2022.1.79.4openalex-snapshot
Nowcasting Migration Using Statistics of Online Queries
inferredcites →https://doi.org/10.17323/demreview.v9i3.16471openalex-snapshot
Прогнозирование миграции из России в Германию с использованием Google-трендов
inferredcites →https://doi.org/10.22394/1993-7601-2024-73-78-101openalex-snapshot
Using Google Trends to forecast migration from Russia: Search query aggregation and accounting for lag structure
inferredcites →https://doi.org/10.25133/jpssv25n4.002openalex-snapshot
Queries to Google Search as Predictors of Migration Flows from Latin America to Spain
inferredcites →https://doi.org/10.32910/ep.73.2.2openalex-snapshot
Facebook i Google kao empirijska osnova za razvoj metode digitalnog praćenja vanjskih migracija hrvatskih građana
inferredcites →https://doi.org/10.3390/forecast3040048openalex-snapshot
Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg
inferredcites →https://doi.org/10.4054/demres.2021.45.40openalex-snapshot
Now-casting Romanian migration into the United Kingdom by using Google Search engine data
inferredcites →https://doi.org/10.48550/arxiv.2005.09902openalex-snapshot
An LSTM approach to Forecast Migration using Google Trends
inferredcites →https://doi.org/10.5018/economics-ejournal.ja.2018-34openalex-snapshot
Replicating “Predicting the present with Google trends” by Hyunyoung Choi and Hal Varian (The Economic Record, 2012)
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.3897/popecon.10.e169776zenodo-depositor-declared
Forecasting the Birth Rate in Russia Based on Google Trends Search Query Statistics
inferred← citeshttps://doi.org/10.55959/msu.vestnik.journ.5.2025.209232openalex-snapshot
Emigration narratives relevance assessment by large language models for social media monitoring
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