PhD defence
Web Privacy Measurement in Real-Time Bidding Systems, A Graph- Based Approach to RTB system classification
- Date
- Tuesday 29 January 2019
- Time
- Location
-
Academy Building
Rapenburg 73
2311 GJ Leiden
Supervisor
- Prof. H.J. van den Herik
Attend
PhD defences are free; you do not have to register.
Summary
Web Privacy Measurement (WPM) has been established as an academic research field since 2012. WPM scholars observe websites and services to detect, characterize, and quantify privacy-impacting behaviors. The main goal of the research field is to increase transparency through measurement.
In the thesis, Robbert J. van Eijk investigates the advertisements online that seem to follow you. The technology enabling the advertisements is called Real-Time Bidding (RTB). An RTB system is defined as a network of partners enabling big data applications within the organizational field of marketing. The system aims to improve sales by real-time data-driven marketing and personalized (behavioral) advertising. The author applies network science algorithms to arrive at measuring the privacy component of RTB. In the thesis, it is shown that cluster-edge betweenness and node betweenness support us in understanding the partnerships of the ad-technology companies. From our research it transpires that the interconnection between partners in an RTB network is caused by the data flows of the companies themselves due
to their specializations in ad technology. Furthermore, the author provides that a Graph-Based Methodological Approach (GBMA) controls the situation of differences in consent implementations in European countries. The GBMA is tested on a dataset of national and regional European news websites.
PhD dissertations
PhD dissertations by Leiden PhD students are available digitally after the defence through the Leiden Repository, that offers free access to these PhD dissertations. Please note that in some cases a dissertation may be under embargo temporarily and access to its full-text version will only be granted later.
Press contact
Maarten Muns, Scientific Communications Adviser, Leiden University
m.a.muns@bb.leidenuniv.nl
+31 71 527 3282