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Wirtschaftsuniversität Wien Magisterarbeit - SemanticLab

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data can be found over search engines such as Google, Yahoo! or MSN? Of course, most<br />

platforms provide privacy settings to hinder web-crawlers to index such information and<br />

prohibit other users of such platforms to access it without prior consent of the owner.<br />

However, studies show that most users do not know about such issues and platform<br />

providers do not necessarily have the most stringent privacy settings in place by default<br />

[Jon05]. A lot of web users “[...] are posting content online without thinking about the<br />

electronic footprint they leave behind” [Gua07] which can have severe consequences in<br />

the future - think about employers “googleing” you before inviting you to a job interview<br />

or parents taking a look at the latest party pictures of their children.<br />

Methods such as “profiling” and “tracking” enable search engines, web shops and other<br />

companies to create user profiles [Awa06]. With such user profiles, all kind of preferences<br />

of users can be found out and certain conclusions can be drawn. If a user at amazon.com<br />

for example is mainly searching for English science fiction books on Saturday nights,<br />

amazon.com (or their algorithms, respectively) could come to the following conclusions:<br />

• The best way to make sure the advertising on the website has a high conversion<br />

rate is to show advertisements to the user which are related to science fiction<br />

• There will be a higher chance of selling the user another book if it is similar to the<br />

books which were sought for<br />

• The user may not have a lot of social life because he is regularly searching for<br />

books on a Saturday evening<br />

Although the last conclusion may seem a little bit far out, search engines are able to<br />

collect and connect millions of user profiles. Privacy scandals such as AOL’s publication<br />

of search queries plainly show us how much personal information such companies can<br />

generate by connecting information: although the data of AOL was anonymized, everyone<br />

with access to the Internet was able to find out that “AOL user 311045 apparently<br />

owns a Scion XB automobile in need of new brake pads that is in the process of being<br />

upgraded with performance oil filters” or that AOL user 005315 “searched for information<br />

about prison inmates, gang members, sociopaths in relationships, and women who<br />

were murdered in southern California last year” [CNT06]. In a very dramatical way,<br />

such examples highlight the need for privacy on the Internet and the need for ways to<br />

make privacy policies easy to understand for (unexperienced) web users.<br />

1.2. Research question<br />

The thesis addresses the question of how Internet users can make sure that their data is<br />

only used with their knowledge for the purposes they know and approve of. To answer<br />

this question, threats to privacy when browsing the web have to be discussed as well as<br />

common web privacy standards.<br />

The topic of this thesis also specifies a certain need for an applied point of view. For<br />

that reason, requirements for web privacy tools are going to be introduced and such<br />

tools will be evaluated considering these requirements.<br />

3

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