The document discusses filter bubbles and media literacy. It summarizes Eli Pariser's work on filter bubbles and how personalized algorithms can limit exposure to diverse perspectives. It also analyzes how Facebook designs its interface using A/B testing to maximize user engagement, such as showing fewer larger friend suggestions. The consequences of filter bubbles mentioned are polarization, incomplete information exposure, potential effects on social behavior through internalizing coded norms, and lack of input into algorithmic personalization systems due to business secrecy and complexity.