Laboratory

Digital and Computational Demography

At a Glance Projects Publications Team

Project

Demographic Differential Uses of Social Media and Social Network Sites

Beatriz Sofía Gil Clavel, Emilio Zagheni; in Collaboration with Ingmar Weber (Qatar Computing Research Institute (QCRI), School of Geography, Social Computing Group, Doha, Qatar), Kari Haranko (Aalto University, Finland), Kiran Garimella (Massachusetts Institute of Technology, Institute for Data, Systems, and Society Cambridge, USA), Filipe N. Ribeiro (Universidade Federal de Ouro Preto, Minas Gerais, Brazil), Fabrício Benevenuto (Federal University of Minas Gerais, Belo Horizonte, Brazil)

This project aims to improve our understanding of demographic differentials in access to digital technologies, and their implications for society, by exploring the global use of and access to social media and social network sites by different demographic groups.  Detailed Description

Publications

Ribeiro, F. N.; Benevenuto, F.; Zagheni, E.:

How biased is the population of Facebook users? Comparing the demographics of Facebook users with census data to generate correction factors

arXiv e-prints 2005.08065. (2020)    

Alburez-Gutierrez, D.; Aref, S.; Gil-Clavel, B. S.; Grow, A.; Negraia, D. V.; Zagheni, E.:

Demography in the digital era: new data sources for population research

In: Smart statistics for smart applications : book of short papers SIS2019, 23–30. Pearson. (2019)    

Gil-Clavel, B. S.; Zagheni, E.:

Demographic differentials in Facebook usage around the world

In: Proceedings of the Thirteenth International AAAI Conference on Web and Social Media (ICWSM 2019): 11-14 June 2019, Munich, Germany, 647–650. Palo Alto, CA: AAAI Press. (2019)    

Haranko, K.; Zagheni, E.; Garimella, K.; Weber, I.:

Professional gender gaps across US cities

In: Proceedings of the Twelfth International AAAI Conference on Web and Social Media (ICWSM 2018): 25-28 June 2018, Stanford, California, 604–607. Palo Alto, CA: AAAI Press. (2018)    

Weber, I.; Kashyap, R.; Zagheni, E.:

Using advertising audience estimates to improve global development statistics

ITU Journal: ICT Discoveries 1:2, 1–9. (2018)