Data Science
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. toward vaccination) from online behavior.
Related projects
Selected publications
- DetailsUnderstanding who talks about what: comparison between the information treatment in traditional media and online discussionsScientific Reports, 2023
- DetailsFairness in vulnerable attribute prediction on social mediaData Mining and Knowledge Discovery, 2022
- DetailsEvolution of the political opinion landscape during electoral periodsEPJ Data Science, Jun 2021
- DetailsPredicting demographics, moral foundations, and human values from digital behavioursComputers in Human Behavior, 2019
- DetailsSocioeconomic correlations and stratification in social-communication networksJournal of the Royal Society Interface, 2016
