E-training for personal data management and privacy

Personalized advertising and content: Companies and platforms collect data about users to provide personalized advertising and content. However, this can lead to users being trapped in filter bubbles where they only see certain information and opinions, while dissenting views are hidden. This can limit the diversity of opinions and achieve manipulation of perceptions of certain topics.

Price discrimination: By analyzing user data, companies can set different prices and offers based on individual profiles and behaviors. This can lead to price discrimination, where certain user groups have to pay higher prices for products or services while other groups receive preferential offers.

Job search and credit discrimination: When companies analyze applicant profiles based on user data, there is a risk of discrimination in job searches. For example, if information such as gender, age or ethnicity is included in the analysis, certain applicants could be disadvantaged. The same applies to lending, where data can be used to assess creditworthiness.

Manipulation of elections and political opinion: The collection of user data makes it possible to send targeted political messages to specific audiences. This can lead to political opinions being manipulated or amplified by targeting or distorting information to achieve specific political goals. The best-known example of this is the Cambridge Analytica scandal, in which the data of millions of Facebook users was misused for political purposes.

Surveillance and government control: Governments can use collected user data to monitor citizens, persecute political dissidents, or restrict civil liberties. This can lead to a climate of fear and self-censorship as people's privacy and freedom are compromised.