Diletta Goglia

I am a Computational Social Scientist, working at the intersection of NLP, Network Science, and Psycholinguistic. My research focuses on developing computational methods for the social sciences, with the goal of understanding and modeling persuasion in online social communication. Specifically, my research aims at identifying, mitigating, and preventing harmful online behaviors that affect vulnerable users, contributing to Social Cybersecurity in critical domains.

This requires advancing methods, models, and datasets for high-impact social applications.

I am member of the UU Information Laboratory (UU-InfoLab), of the cross-disciplinary UU Computational Social Science Lab (UU-CSSLab), and of the Nordic Society for Computational Social Science (NoSoCSS).

International mobility between the UK and Europe around Brexit: a data-driven study featured image

International mobility between the UK and Europe around Brexit: a data-driven study

Among the multiple effects of Brexit, changes in migration and mobility across Europe were expected. Several studies have analysed these aspects, mostly from the point of view of …

Alina Sîrbu
Dataset of Multi-Aspect Integrated Migration Indicators featured image

Dataset of Multi-Aspect Integrated Migration Indicators

Nowadays, new branches of research are proposing the use of non-traditional data sources for the study of migration trends in order to find an original methodology to answer open …

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Diletta Goglia
Use of non-traditional data sources to nowcast migration trends through Artificial Intelligence technologies featured image

Use of non-traditional data sources to nowcast migration trends through Artificial Intelligence technologies

In recent years the pursuit of original drivers and methods is becoming an increasing requirement for migration studies, considering the new technologies used to characterise and …

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Diletta Goglia