Tracking Human Migration from Online Attention

Ruiz, Carmen Karina Vaca; Quercia, Daniele; Aiello, Luca Maria; Fraternali, Piero

doi:10.1007/978-3-319-04178-0_7

Cited by 4 publications

(1 citation statement)

References 23 publications

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“…Digital data have been used to estimate general migration flows at the national level using online platforms [ 34 , 37 ] and at the global scale via international remittance networks [ 22 , 38 ]. In this paper, we use an international online directory containing free and paid advertising of independent escorts as a proxy for the global flow of workers between countries.…”

Section: Introductionmentioning

confidence: 99%

The global migration network of sex-workers

2022

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Differences in the social and economic environment across countries encourage humans to migrate in search of better living conditions, including job opportunities, higher salaries, security and welfare. Quantifying global migration is, however, challenging because of poor recording, privacy issues and residence status. This is particularly critical for some classes of migrants involved in stigmatised, unregulated or illegal activities. Escorting services or high-end prostitution are well-paid activities that attract workers all around the world. In this paper, we study international migration patterns of sex-workers by using network methods. Using an extensive international online advertisement directory of escorting services and information about individual escorts, we reconstruct a migrant flow network where nodes represent either origin or destination countries. The links represent the direct routes between two countries. The migration network of sex-workers shows different structural patterns than the migration of the general population. The network contains a strong core where mutual migration is often observed between a group of high-income European countries, yet Europe is split into different network communities with specific ties to non-European countries. We find non-reciprocal relations between countries, with some of them mostly offering while others attract workers. The Gross Domestic Product per capita (GDPc) is a good indicator of country attractiveness for incoming workers and service rates but is unrelated to the probability of emigration. The median financial gain of migrating, in comparison to working at the home country, is . Only sex-workers coming from of the countries have financial gains with migration and average gains decrease with the GDPc of the country of origin. Our results suggest that high-end sex-worker migration is regulated by economic, geographic and cultural aspects.

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Section: Introductionmentioning

confidence: 99%

The global migration network of sex-workers

2022

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Geo-localized social media data to improve characterization of international travelers

Mendieta

Suarez

Vaca

et al. 2016

2016 Third International Conference on eDemocracy &Amp; eGovernment (ICEDEG)

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Taking Brazil's pulse

Ruiz

Quercia

Aiello

et al. 2014

Proceedings of the 23rd International Conference on World Wide Web

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Urban resources are allocated according to socio-economic indicators, and rapid urbanization in developing countries calls for updating those indicators in a timely fashion. The prohibitive costs of census data collection make that very difficult. To avoid allocating resources upon outdated indicators, one could partly update or complement them using digital data. It has been shown that it is possible to use social media in developed countries (mainly UK and USA) for such a purpose. Here we show that this is the case for Brazil too. We analyze a random sample of a microblogging service popular in that country and accurately predict the GDPs of 45 Brazilian cities. To make these predictions, we exploit the sociological concept of glocality, which says that economically successful cities tend to be involved in interactions that are both local and global at the same time. We indeed show that a city's glocality, measured with social media data, effectively signals the city's economic well-being.

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Tracking Human Migration from Online Attention

Cited by 4 publications

References 23 publications

The global migration network of sex-workers

The global migration network of sex-workers

Geo-localized social media data to improve characterization of international travelers

Taking Brazil's pulse

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