Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data

Abstract

Ending poverty in all its forms everywhere is the number one Sustainable Development Goal of the UN 2030 Agenda. To monitor the progress toward such an ambitious target, reliable, up-to-date and fine-grained measurements of socioeconomic indicators are necessary. When it comes to socioeconomic development, novel digital traces can provide a complementary data source to overcome the limits of traditional data collection methods, which are often not regularly updated and lack adequate spatial resolution. In this study, we collect publicly available and anonymous advertising audience estimates from Facebook to predict socioeconomic conditions of urban residents, at a fine spatial granularity, in four large urban areas: Atlanta (USA), Bogotá (Colombia), Santiago (Chile), and Casablanca (Morocco). We find that behavioral attributes inferred from the Facebook marketing platform can accurately map the socioeconomic status of residential areas within cities, and that predictive performance is comparable in both high and low-resource settings. Our work provides additional evidence of the value of social advertising media data to measure human development and it also shows the limitations in generalizing the use of these data to make predictions across countries.

Big data analytics and smart cities: applications, challenges, and opportunities

“…In fact, on the one hand it is bringing modernization in people's lives, and providing challenging opportunities offered in urban areas; on the other hand, it is bringing new issues in city management, such as increasing traffic congestion, large-scale resource planning, air pollution, crime rising, energy consumption, water quality, etc. (Zheng et al, 2014;Altomare et al, 2019;Cesario, 2019;Piaggesi et al, 2022).…”