In the context of heuristics, what does the term "filter bubble" refer to?

The term "filter bubble" refers to a situation where users are exposed to similar perspectives due to algorithmic filtering, often seen in social media and online platforms. This phenomenon occurs when algorithms curate content that aligns with an individual's previous behavior, preferences, and interests, effectively limiting the diversity of viewpoints and information the user encounters.

As a result, users may become isolated in their own informational ecosystems, receiving reinforcement of their existing beliefs while being shielded from differing perspectives. This can contribute to the polarization of opinions and create echo chambers, where diverse discussions are diminished. Understanding the impact of filter bubbles is critical, especially in discussions regarding media consumption, digital literacy, and the importance of seeking out varied sources of information.