Privacy Security in Social Networks - What Facebook, Instagram, and Co. Know About Us

Social networks such as Facebook, Instagram or WhatsApp have become an integral part of modern life and have long since become an integral part of everyday life. But free use also has its price. Operators of such social networks collect the personal data of users in order to earn money with this information. According to scientific studies, operators are even able to create shadow profiles of users. Shadow profiles contain information that a user has never provided or wanted to provide.

During this CAMMP day, middle school students will learn how simple mathematical rules can be used to predict a person's age. They work with original data from the social network Friendster, the pioneer of Facebook.

In order to be able to reliably predict the age of a user, the data is processed independently by the students. They then apply various prediction rules for a user's age, based mainly on location and scattering measures. A main objective of the CAMMP day is to encourage students to critically reflect on their own use of social networks. The CAMMP day also provides them with an example of the practical relevance of mathematics in their everyday lives.

Version with two-level tree diagrams:

Optionally, the third worksheet can also be used to look at a random prediction rule. With a certain probability q, a given age interval is assigned to the user here. For this rule, the SuS determine the experimental and theoretical hit probability. To this end, the SuS should already have gained initial experience with two-stage random experiments and tree diagrams. If there is interest in this version, this can be communicated by mail when registering for this CAMMP day.

Duration: 5 - 6 hours (incl. lunch break)
Contents: relative frequency, arithmetic mean, median, span, quartile distance, box plots
Previous knowledge: First experiences with Boxplots
Target group: 7th grade and older
Created by: Nils Steffen, Maike Sube
Registration: Appointments can be made individually by e-mail at KIT or RWTH Aachen University.

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