Socioeconomic inequalities
Sustainable Development Goal 5
Achieve gender equality and empower all women and girls.
Sustainable Development Goal 8
Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all.
Sustainable Development Goal 10
Reduce inequalities within and among countries
“Gender gaps in urban mobility”. Humanities and Social Sciences Communications, 2020, vol. 7, no 1, p. 1-13.
Gauvin L, Tizzoni M, Piaggesi S, et al.
Mobile phone data have been extensively used to study urban mobility. However, studies based on gender-disaggregated large-scale data are still lacking, limiting our understanding of
gendered aspects of urban mobility and our ability to design policies for gender equality. Here we study urban mobility from a gendered perspective, combining commercial and open datasets for the city of Santiago, Chile. We analyze call detail records for a large cohort of anonymized mobile phone users and reveal a gender gap in mobility: women visit fewer unique locations than men, and distribute their time less equally among such locations.
Mapping this mobility gap over administrative divisions, we observe that a wider gap is associated with lower income and lack of public and private transportation options. Our results uncover a complex interplay between gendered mobility patterns, socio-economic
factors and urban affordances, calling for further research and providing insights for policy-makers and urban planners.
FACEBOOK ADS AND THE URBAN-RURAL DIVIDE
“Facebook Ads as a Demographic Tool to Measure the Urban-Rural Divide”. Proceedings of The Web Conference. 2020.
Rama D, Mejova Y, Tizzoni M, Kalimeri K, Weber I
In the global move toward urbanization, making sure the people remaining in rural areas are not left behind in terms of development and policy considerations is a priority for governments worldwide. However, it is increasingly challenging to track important statistics concerning this sparse, geographically dispersed population, resulting in a lack of reliable, up-to-date data. In this study, we examine the usefulness of the Facebook Advertising platform, which offers a digital “census” of over two billions of its users, in measuring potential rural-urban inequalities. The findings of this study illustrate the necessity of improving existing tools and methodologies to include under-represented populations in digital demographic studies – the failure to do so could result in misleading observations, conclusions, and most importantly, policies.
Visualization: http://www.datainterfaces.org/projects/facebookmap/
YOUTH UNEMPLOYMENT AND SOCIAL MEDIA
“Young Adult Unemployment Through the Lens of Social Media: Italy as a Case Study”. Social Informatics. SocInfo 2020.
Urbinati A, Kalimeri K, Bonanomi A, Rosina A, Cattuto C, Paolotti D
Youth unemployment rates are still in alerting levels for many countries, among which Italy. In this study, we employ survey data together with social media data, and in particular likes on Facebook Pages, to analyse personality, moral values, but also cultural elements of the young unemployed population in Italy. Our findings show that there are small but significant differences in personality and moral values, with the unemployed males to be less agreeable while females more open to new experiences. At the same time, unemployed have a more collectivist point of view, valuing more in-group loyalty, authority, and purity foundations. We believe these findings can help policymakers get a deeper understanding of this population and initiatives that improve both the hard and the soft skills of this fragile population.
