Searching for a better life: Predicting international migration with online search keywords

Böhme, Marcus; Gröger, André; Stöhr, Tobias

doi:10.1016/j.jdeveco.2019.04.002

Cited by 76 publications

(120 citation statements)

References 47 publications

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“…Third, it has been used in studies detecting problems related to health ( Clemente et al., 2019 ; Zhang et al., 2018 ), the environment ( Funk and Rusowsky, 2014 ) and well-being ( Arnold, 2020 ). Finally, it has been used for the measurement of complex processes where traditional data presents known deficits, for example, for international migration studies ( Böhme et al., 2020 ).…”

Section: Methodsmentioning

confidence: 99%

Exam cheating and academic integrity breaches during the COVID-19 pandemic: An analysis of internet search activity in Spain

Comas‐Forgas¹,

Lancaster²,

Calvo-Sastre³

et al. 2021

Heliyon

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Academic institutions worldwide have had to adapt their methods of teaching and assessment due to COVID-19. In many Spanish universities exams moved online, affording students with opportunities to breach academic integrity that were not previously available to them. This paper uses the emerging research method of search engine data analysis to investigate the extent of requests for exam cheating information in Spain in the time period surrounding adjustments for the pandemic. The Internet data analytics technique is one that the paper proposes should be used more widely as an academic integrity research method. For this study, search engine activity data on exam cheating in Spain was collected and analysed for the five-year period between 2016 and 2020 inclusive. The data suggests that students are searching for information about ways to cheat in exams, including how to create cheat sheets. Most strikingly, the results show a significant increase in requests for information on cheating on online exams during the COVID-19 timeframe and the Spanish lockdown period. Based on the findings, academic institutions in other regions should be wary about the opportunities that their students have to commit exam fraud.

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Section: Methodsmentioning

confidence: 99%

Exam cheating and academic integrity breaches during the COVID-19 pandemic: An analysis of internet search activity in Spain

Comas‐Forgas¹,

Lancaster²,

Calvo-Sastre³

et al. 2021

Heliyon

View full text Add to dashboard Cite

show abstract

“…Another limitations in using traditional data source is that it is difficult to anticipate immigrants' movement. In the work of [36], they study whether the GTI 11 can now-cast the immigrants' journey. However, as authors point out, not every search means that searchers have intention to migrate.…”

Section: Alternative Data Sources -Is Nowcasting Possible?mentioning

confidence: 99%

Human migration: the big data perspective

Sîrbu

Andrienko

et al. 2020

Int J Data Sci Anal

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How can big data help to understand the migration phenomenon? In this paper, we try to answer this question through an analysis of various phases of migration, comparing traditional and novel data sources and models at each phase. We concentrate on three phases of migration, at each phase describing the state of the art and recent developments and ideas. The first phase includes the journey, and we study migration flows and stocks, providing examples where big data can have an impact. The second phase discusses the stay, i.e. migrant integration in the destination country. We explore various data sets and models that can be used to quantify and understand migrant integration, with the final aim of providing the basis for the construction of a novel multi-level integration index. The last phase is related to the effects of migration on the source countries and the return of migrants.

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“…Alternatively, we could add new variables to the migration model. It would, for example, be interesting to explore the possibility of including online search data in the model as a proxy for migration intentions (Böhme et al 2019)). Data on income inequality, living conditions, unemployment, or social expenditures could be also included in the model as possible push effects for migration intentions (Mayda 2010).…”

Section: Discussionmentioning

confidence: 99%

Modelling International Migration Flows by Integrating Multiple Data Sources

Fava

Wiśniowski²,

Zagheni

2019

Preprint

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Migration has become a significant source of population change at the global level, with broad societal implications. Although understanding the drivers of migration is critical to enacting effective policies, theoretical advances in the study of migration processes have been limited by the lack of data on flows of migrants, or by the fragmented nature of these flows. In this paper, we build on existing Bayesian modeling strategies to develop a statistical framework for integrating different types of data on migration flows. We offer estimates, as well as associated measures of uncertainty, for immigration, emigration, and net migration flows among 31 European countries, by combining administrative and household survey data from 2002 to 2015. Substantively, we document the historical impact of the EU enlargement and the free movement of workers in Europe on migration flows. Methodologically, our approach improves on the Integrated Modeling of European Migration (IMEM) framework by providing a robust statistical framework for evaluating recent migration trends that is flexible enough to be further extended to incorporate new data sources, like social media.

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Searching for a better life: Predicting international migration with online search keywords

Cited by 76 publications

References 47 publications

Exam cheating and academic integrity breaches during the COVID-19 pandemic: An analysis of internet search activity in Spain

Exam cheating and academic integrity breaches during the COVID-19 pandemic: An analysis of internet search activity in Spain

Human migration: the big data perspective

Modelling International Migration Flows by Integrating Multiple Data Sources

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