THE QUESTION
Why do people like filter bubbles?
Does one significantly influence the other? Three quarters of the votes cast decide.
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Questions are shared out between groups, so you get the ones your group was given — not all 90.
68 / 90 settled 0 for you to answer 3 contested (parked, visible) why
Nobody could answer several hundred pairs. Each pair goes to one group; a pair that splits is then referred to other groups, so it can appear in your list later even though it started elsewhere. The settled count includes every group's work, which is why it climbs faster than your own list shrinks.
Last tally: 65 decided · 0 escalated to cross-group panels · 3 contested · 22 below quorum — panels need at least max(2, 75% of panel) votes cast; your smallest panel has 12 members.
People feel good when information confirms what they already believe is true. → influences? → Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms.
Nothing said yet.
Completed phase — the record of pairs and votes stands above.Check the logic ↗
| People feel safe and secure in their own personal information bubbles, shielded from opposing views. | → | Algorithms prioritize engagement over diverse viewpoints. | ⚑ contested | discuss |
| They seek comfort and emotional safety by staying in familiar views. | → | Algorithms prioritize engagement over diverse viewpoints. | ⚑ contested | discuss |
| People want to avoid conflicting views to feel more comfortable. | → | Algorithms prioritize engagement over diverse viewpoints. | ⚑ contested | discuss |
| They seek comfort and emotional safety by staying in familiar views. | → | People want to avoid conflicting views to feel more comfortable. | open | discuss |
| People feel safe and secure in their own personal information bubbles, shielded from opposing views. | → | They seek comfort and emotional safety by staying in familiar views. | open | discuss |
| People feel safe and secure in their own personal information bubbles, shielded from opposing views. | → | People want to avoid conflicting views to feel more comfortable. | open | discuss |
| People feel good when information confirms what they already believe is true. | → | People want to avoid conflicting views to feel more comfortable. | open | discuss |
| Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. | → | People want to avoid conflicting views to feel more comfortable. | open | discuss |
| People crave confirmation of their existing beliefs. | → | People want to avoid conflicting views to feel more comfortable. | open | discuss |
| People feel safe and secure in their own personal information bubbles, shielded from opposing views. | → | People crave confirmation of their existing beliefs. | open | discuss |
| People feel safe and secure in their own personal information bubbles, shielded from opposing views. | → | Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. | open | discuss |
| People feel safe and secure in their own personal information bubbles, shielded from opposing views. | → | People want to feel validated and avoid cognitive dissonance. | open | discuss |
| People feel safe and secure in their own personal information bubbles, shielded from opposing views. | → | They reduce the effort needed to find information that matches personal interests. | open | discuss |
| They reduce the effort needed to find information that matches personal interests. | → | People want to avoid conflicting views to feel more comfortable. | open | discuss |
| They reduce the effort needed to find information that matches personal interests. | → | Algorithms prioritize engagement over diverse viewpoints. | open | discuss |
| People want to feel validated and avoid cognitive dissonance. | → | Algorithms prioritize engagement over diverse viewpoints. | open | discuss |
| People feel safe and secure in their own personal information bubbles, shielded from opposing views. | → | People feel good when information confirms what they already believe is true. | open | discuss |
| People feel safe and secure in their own personal information bubbles, shielded from opposing views. | → | People prefer comfort and familiarity in their information. | open | discuss |
| People feel good when information confirms what they already believe is true. | → | Algorithms prioritize engagement over diverse viewpoints. | open | discuss |
| People prefer comfort and familiarity in their information. | → | People want to avoid conflicting views to feel more comfortable. | open | discuss |
| Algorithms prioritize engagement over diverse viewpoints. | → | People want to avoid conflicting views to feel more comfortable. | open | discuss |
| Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. | → | Algorithms prioritize engagement over diverse viewpoints. | open | discuss |
| People crave confirmation of their existing beliefs. | → | Algorithms prioritize engagement over diverse viewpoints. | open | discuss |
| People want to feel validated and avoid cognitive dissonance. | → | People want to avoid conflicting views to feel more comfortable. | open | discuss |
| People prefer comfort and familiarity in their information. | → | Algorithms prioritize engagement over diverse viewpoints. | open | discuss |
| People prefer comfort and familiarity in their information. | → | People feel good when information confirms what they already believe is true. | ✓ yes | discuss |
| They seek comfort and emotional safety by staying in familiar views. | → | People want to feel validated and avoid cognitive dissonance. | ✓ yes | discuss |
| People want to avoid conflicting views to feel more comfortable. | → | People crave confirmation of their existing beliefs. | ✓ yes | discuss |
| People prefer comfort and familiarity in their information. | → | They reduce the effort needed to find information that matches personal interests. | ✓ yes | discuss |
| People want to avoid conflicting views to feel more comfortable. | → | They reduce the effort needed to find information that matches personal interests. | ✓ yes | discuss |
| They seek comfort and emotional safety by staying in familiar views. | → | People feel safe and secure in their own personal information bubbles, shielded from opposing views. | ✓ yes | discuss |
| They reduce the effort needed to find information that matches personal interests. | → | They seek comfort and emotional safety by staying in familiar views. | ✓ yes | discuss |
| Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. | → | People want to feel validated and avoid cognitive dissonance. | ✓ yes | discuss |
| People feel good when information confirms what they already believe is true. | → | People prefer comfort and familiarity in their information. | ✓ yes | discuss |
| Algorithms prioritize engagement over diverse viewpoints. | → | People prefer comfort and familiarity in their information. | ✓ yes | discuss |
| People crave confirmation of their existing beliefs. | → | People prefer comfort and familiarity in their information. | ✓ yes | discuss |
| People want to feel validated and avoid cognitive dissonance. | → | People crave confirmation of their existing beliefs. | ✓ yes | discuss |
| People crave confirmation of their existing beliefs. | → | People feel good when information confirms what they already believe is true. | ✓ yes | discuss |
| People prefer comfort and familiarity in their information. | → | Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. | ✓ yes | discuss |
| People want to avoid conflicting views to feel more comfortable. | → | People want to feel validated and avoid cognitive dissonance. | ✓ inferred | discuss |
| Algorithms prioritize engagement over diverse viewpoints. | → | They reduce the effort needed to find information that matches personal interests. | ✓ inferred | discuss |
| They reduce the effort needed to find information that matches personal interests. | → | Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. | ✓ inferred | discuss |
| People want to avoid conflicting views to feel more comfortable. | → | Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. | ✓ inferred | discuss |
| People crave confirmation of their existing beliefs. | → | They reduce the effort needed to find information that matches personal interests. | ✓ inferred | discuss |
| People prefer comfort and familiarity in their information. | → | People crave confirmation of their existing beliefs. | ✓ inferred | discuss |
| They seek comfort and emotional safety by staying in familiar views. | → | People feel good when information confirms what they already believe is true. | ✓ inferred | discuss |
| People feel good when information confirms what they already believe is true. | → | People crave confirmation of their existing beliefs. | ✓ inferred | discuss |
| People crave confirmation of their existing beliefs. | → | Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. | ✓ inferred | discuss |
| Algorithms prioritize engagement over diverse viewpoints. | → | People want to feel validated and avoid cognitive dissonance. | ✓ inferred | discuss |
| People feel good when information confirms what they already believe is true. | → | Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. | ✓ inferred | in focus ↑ · close ✕ |
| Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. | → | People feel good when information confirms what they already believe is true. | ✓ inferred | discuss |
| Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. | → | They seek comfort and emotional safety by staying in familiar views. | ✓ inferred | discuss |
| They seek comfort and emotional safety by staying in familiar views. | → | People prefer comfort and familiarity in their information. | ✓ inferred | discuss |
| People feel good when information confirms what they already believe is true. | → | They reduce the effort needed to find information that matches personal interests. | ✓ inferred | discuss |
| Algorithms prioritize engagement over diverse viewpoints. | → | Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. | ✓ inferred | discuss |
| People crave confirmation of their existing beliefs. | → | People feel safe and secure in their own personal information bubbles, shielded from opposing views. | ✓ inferred | discuss |
| People feel good when information confirms what they already believe is true. | → | They seek comfort and emotional safety by staying in familiar views. | ✓ inferred | discuss |
| They reduce the effort needed to find information that matches personal interests. | → | People feel good when information confirms what they already believe is true. | ✓ inferred | discuss |
| People crave confirmation of their existing beliefs. | → | People want to feel validated and avoid cognitive dissonance. | ✓ inferred | discuss |
| People feel good when information confirms what they already believe is true. | → | People want to feel validated and avoid cognitive dissonance. | ✓ inferred | discuss |
| They seek comfort and emotional safety by staying in familiar views. | → | People crave confirmation of their existing beliefs. | ✓ inferred | discuss |
| People want to feel validated and avoid cognitive dissonance. | → | Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. | ✓ inferred | discuss |
| They reduce the effort needed to find information that matches personal interests. | → | People crave confirmation of their existing beliefs. | ✓ inferred | discuss |
| People want to avoid conflicting views to feel more comfortable. | → | People prefer comfort and familiarity in their information. | ✓ inferred | discuss |
| People want to feel validated and avoid cognitive dissonance. | → | People prefer comfort and familiarity in their information. | ✓ inferred | discuss |
| Algorithms prioritize engagement over diverse viewpoints. | → | People feel good when information confirms what they already believe is true. | ✓ inferred | discuss |
| Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. | → | People prefer comfort and familiarity in their information. | ✓ inferred | discuss |
| People want to feel validated and avoid cognitive dissonance. | → | People feel good when information confirms what they already believe is true. | ✓ inferred | discuss |
| People want to avoid conflicting views to feel more comfortable. | → | They seek comfort and emotional safety by staying in familiar views. | ✓ inferred | discuss |
| People prefer comfort and familiarity in their information. | → | They seek comfort and emotional safety by staying in familiar views. | ✓ inferred | discuss |
| They reduce the effort needed to find information that matches personal interests. | → | People want to feel validated and avoid cognitive dissonance. | ✓ inferred | discuss |
| People crave confirmation of their existing beliefs. | → | They seek comfort and emotional safety by staying in familiar views. | ✓ inferred | discuss |
| Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. | → | People crave confirmation of their existing beliefs. | ✓ inferred | discuss |
| People want to feel validated and avoid cognitive dissonance. | → | They reduce the effort needed to find information that matches personal interests. | ✓ inferred | discuss |
| Algorithms prioritize engagement over diverse viewpoints. | → | People feel safe and secure in their own personal information bubbles, shielded from opposing views. | ✓ inferred | discuss |
| People want to avoid conflicting views to feel more comfortable. | → | People feel safe and secure in their own personal information bubbles, shielded from opposing views. | ✓ inferred | discuss |
| They reduce the effort needed to find information that matches personal interests. | → | People prefer comfort and familiarity in their information. | ✓ inferred | discuss |
| People want to feel validated and avoid cognitive dissonance. | → | They seek comfort and emotional safety by staying in familiar views. | ✓ inferred | discuss |
| They reduce the effort needed to find information that matches personal interests. | → | People feel safe and secure in their own personal information bubbles, shielded from opposing views. | ✓ inferred | discuss |
| People want to feel validated and avoid cognitive dissonance. | → | People feel safe and secure in their own personal information bubbles, shielded from opposing views. | ✓ inferred | discuss |
| People feel good when information confirms what they already believe is true. | → | People feel safe and secure in their own personal information bubbles, shielded from opposing views. | ✓ inferred | discuss |
| People want to avoid conflicting views to feel more comfortable. | → | People feel good when information confirms what they already believe is true. | ✓ inferred | discuss |
| People prefer comfort and familiarity in their information. | → | People feel safe and secure in their own personal information bubbles, shielded from opposing views. | ✓ inferred | discuss |
| Algorithms prioritize engagement over diverse viewpoints. | → | People crave confirmation of their existing beliefs. | ✓ inferred | discuss |
| People prefer comfort and familiarity in their information. | → | People want to feel validated and avoid cognitive dissonance. | ✓ inferred | discuss |
| They seek comfort and emotional safety by staying in familiar views. | → | They reduce the effort needed to find information that matches personal interests. | ✓ inferred | discuss |
| Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. | → | They reduce the effort needed to find information that matches personal interests. | ✓ inferred | discuss |
| Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. | → | People feel safe and secure in their own personal information bubbles, shielded from opposing views. | ✓ inferred | discuss |
| They seek comfort and emotional safety by staying in familiar views. | → | Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. | ✓ inferred | discuss |
| Algorithms prioritize engagement over diverse viewpoints. | → | They seek comfort and emotional safety by staying in familiar views. | ✓ inferred | discuss |