"uuid","repository link","title","author","contributor","publication year","abstract","subject topic","language","publication type","publisher","isbn","issn","patent","patent status","bibliographic note","access restriction","embargo date","faculty","department","research group","programme","project","coordinates" "uuid:e04147cc-eff3-4044-b6b8-b98183f62645","http://resolver.tudelft.nl/uuid:e04147cc-eff3-4044-b6b8-b98183f62645","Do they really value your privacy?: An exploratory analysis of what can be learned about companies from their privacy statements","Rovers, Tim (TU Delft Technology, Policy and Management)","Asghari, Hadi (mentor); Warnier, Martijn (mentor); Ernst, Wouter (graduation committee); Delft University of Technology (degree granting institution)","2019","This master thesis explores to what degree information about a company's commitment to privacy can be extracted from a privacy statement. To do this, firstly a new database of more than 1500 privacy statements is created using Amazon Mechanical Turk. Next, 72 different aspects related to privacy of the statements are enumerated by using natural language processing. Multiple analyses are run on this data to look for signals which can indicate commitment to privacy. Ultimately, the analyses result in a number of ways which the quality and completeness can be assessed, and a method to find out the degree to which a privacy statement has likely copied other statements. This can be useful for privacy regulators in identifying companies which are less likely to comply with existing privacy regulations.","Privacy; Natural Language Processing; Privacy Statements; Exploratory Analysis","en","master thesis","","","","","","","","","","","","Engineering and Policy Analysis","",""