Filter bubbles and algorithms

In short: Platforms rank content with algorithms that show what we will probably like. As a result we tend to see similar things and rarely contradiction: the filter bubble.

In more detail: The aim of the algorithms is usually to increase time spent.

In detail

• Personalisation: Clicks, likes, dwell time and searches determine the selection.
• Echo chamber: In groups similar opinions reinforce each other.
• Consequences: Distorted worldview, polarisation, easy access to false reports.
• Remedies: Use various sources, newsletters instead of just a feed, deliberately read opposing sites.
• Settings: Chronological view, limit personalisation and advertising profiles.
• Search engines: Search results are personalised too; a private window or alternative search helps.
• Thinking errors: We prefer confirming information (kognitive-verzerrungen).
• Checking: Compare sources (medienkompetenz-und-fake-news-quellen-prüfen).