Philipp Masur is an Assistant Professor in the Department of Communication Science at the Vrije Universiteit Amsterdam and the Managing Director of the Digital Media and Behavior Lab. He is also the chair of the Research Ethics Review Committee (RERC) of the faculty of social sciences. He has studied communication science, economic sciences, and philosophy at the Johannes Gutenberg University Mainz (Germany) and the Macquarie University (Sydney, Australia). He earned his PhD in the social sciences at the University of Hohenheim in 2018. He has previously worked at departments of communication at the University of Hohenheim and the University of Mainz and was a visiting scholar at the Cornell University. 

You can find more information on his personal website: www.philippmasur.de

Philipp’s research focuses on different aspects of digital communication and the impact of social media on our daily lives. It is characterized by interdisciplinary perspectives and a variety of methodological approaches, including survey, experimental, and computational methods. More specifically, he studies social influence and persuasion processes on social media, privacy and self-disclosure in networked publics, different types of media literacies, and social media use effects on individual well-being. In his current work, he investigates behavioral contagion and social norm processes on social media. This project is funded through an Innovation Grant (VENI) by the Netherlands Organisation for Scientific Research (NWO). He is further interested in meta-scientific questions related to open science, transparency, and replication.

• Fall 2020: Marketing and Persuasive Communication (BA)
• Fall 2020: Marketing Communication and the Consumer (MA)
• Spring 2021 & 2022: New Media Challenges (BA)
• Spring 2021: Public Relations and Reputation Management (BA)
• Spring 2021: Social Science for Society: Networks II (BA)
• Fall 2021: Computational Analysis of Digital Communication (MA)
• Spring 2022: Privacy, Self-Disclosure, and Big Data (MA)
• Fall 2022: Computational Analysis of Digital Communication (MA)
• Spring 2023: Privacy, Self-Disclosure, and Big Data (MA)
• Fall 2023: Computational Analysis of Digital Communication (MA)
• Supervision MA theses

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