Abstract

The digital transformation of our society brings new opportunities for research on human behavior thanks to the wealth of data generated by our online life. However, this also brings social issues due to the fast adoption of social technologies and research challenges in the use of new digital trace data in behavioral and social sciences. My work applies large-scale data sources and computational methods to understand our digital society at multiple levels, focusing on affective polarization, gender inequality, and misinformation spreading. I will show our current research in new methods to study emotions from social media data, from tracking mood in whole countries to measuring the emotions of individuals.