Data Science

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Large-scale analysis of Twitter traces, electoral data, and Call Detail Records (CDR). We infer human mobility, content demand, and online community dynamics.

Lines of work

Politics on Twitter

Hashtag semantic networks during the 2015 and 2019 Argentinian elections; dynamic opinion formation from community structure.

Human mobility

Call Detail Records (CDR) and geolocated social-media data; regularity and socio-economic stratification.

Bias, fairness, and values

Predicting demographics, moral foundations, and attitudes (e.g. towards vaccination) from online behaviour.

Related projects

Twitter — Elecciones 2019

Tracking the 2019 Argentinian presidential elections.

OpLaDyn

Opinion-landscape dynamics during electoral periods.

Selected publications

Understanding who talks about what: comparison between the information treatment in traditional media and online discussions
Hendrik Schawe, Mariano G Beiró, J. Ignacio Alvarez-Hamelin, Dimitris Kotzinos, and Laura Hernández
Scientific Reports, 2023
DOI Website
Details
Fairness in vulnerable attribute prediction on social media
Mariano G Beiró and Kyriaki Kalimeri
Data Mining and Knowledge Discovery, 2022
DOI Website
Details
Evolution of the political opinion landscape during electoral periods
Tomás Mussi Reyero, Mariano G. Beiró, J. Ignacio Alvarez-Hamelin, Laura Hernández, and Dimitris Kotzinos
EPJ Data Science, Jun 2021
DOI Website
Details
Predicting demographics, moral foundations, and human values from digital behaviours
Kyriaki Kalimeri, Mariano G Beiró, Matteo Delfino, Robert Raleigh, and Ciro Cattuto
Computers in Human Behavior, 2019
DOI
Details
Socioeconomic correlations and stratification in social-communication networks
Yannick Leo, Eric Fleury, J. Ignacio Alvarez-Hamelin, Carlos Sarraute, and Márton Karsai
Journal of the Royal Society Interface, 2016
DOI Website
Details