Rupert Kiddle

Rupert Kiddle is a Research Associate at the Vrije Universiteit Amsterdam, affiliated with the Faculty of Social Sciences and Humanities and the Network Institute. His work bridges computational methods with communication science, focusing on digital media dynamics.

• Research Associate, Faculty of Social Sciences and Humanities
• Communication Science, Network Institute
• Collaborator with University of Amsterdam and GESIS (Mannheim)

His research explores computational approaches to understanding social media systems, including:

• Modeling online toxicity dynamics using information theory
• Designing ethical recommender systems for news discovery
• Analyzing temporal patterns in media consumption and popularity
• Developing structural analysis frameworks for digital networks

Recent publications demonstrate expertise in combining machine learning with communication theory to address societal challenges in digital environments. Collaborations span multiple institutions, emphasizing interdisciplinary computational social science.

As an educator, he contributes to:

• Computational Communication Science I course (University of Amsterdam, 2023)
• Introduction to Machine Learning for Text Analysis with Python (GESIS, 2024)

His work appears in Journalism Studies and Journal of Computational Social Science, with particular emphasis on:

• Structural network analysis
• Algorithmic accountability
• Temporal modeling of online behavior