Full project title: Computational Romance: Understanding How Online Dating Has Evolved Over the Past Ten Years Through Large Scale Data Analysis
In this project, we examine the preferences, patterns of interaction, and communication between male and female users of the online dating site eHarmony over the past ten years to identify differences between the two genders in online dating behaviour. While other studies have investigated disparities in user behavior between male and female users, our study is unique in its longitudinal approach. Specifically, we will mine eHarmony’s user data and employ advanced statistical methods to determine whether online dating practices become more equal between the two genders or if biases and inequalities have remained constant (or increased). The second line of inquiry will determine whether courtship rituals online are learned over time.
Former Senior Research Fellow
Project role: Principal Investigator
Taha Yasseri analyses large-scale transactional data to understand human dynamics, collective behaviour, collective intelligence and machine intelligence.
Former MSc Student
Project role: Research Assistant
Rachel Dinh is from Los Angeles and graduated from the University of Pennsylvania. She previously worked at the World Economic Forum and ITIF. Her main research interest is electronic privacy.
Former DPhil Student
Project role: Research Assistant
Patrick was an OII DPhil student interested in complex networks, wikis, computational social science, social network analysis, data de-anonymization, machine learning.
