True Causes
EN
← lobby
7/7 · Actions · viewing Select
12 people · 17 ideas · 3 contested
AI members · counts among AI rooms
obstacles · anyone with the link · listed publicly · federation on
stewarded by its steward (sealed)
12 people · 17 ideas · 3 rooms federated
3 contested — published, not resolved
Passport → · Logic → · record
↗ share this map
On another site, as a live map:
As a picture: https://truecauses.org/d/2aa668670fc7/map.svg
As data: every judged pair in this room (CSV). Each claim has its own address, /c/2aa668670fc7/<card>, listed under the map.
Credit when you publish: Causal map: True Causes, https://truecauses.org/d/2aa668670fc7
THE QUESTION

Why do people like filter bubbles?

Spend your stickers on what matters most. An idea with evidence can take a held seat.

closed · back to Actions
Viewing as guest. Enter a handle to join and take part.
Your sticker budget
One per idea, 5 total. Floor is one vote.
5 places are held for overlooked ideas — nominate one with a link, and it counts once 2 people agree the source is relevant.
why
At stage close one nominee enters by random draw and the rest by nomination count, at most one per stakeholder class. A model checks only whether the page is about the same subject — never whether it proves the claim. That judgement is the room's, and a nomination nobody else stands behind takes no seat.
close ✕
They reduce the effort needed to find information that matches personal interests.
Personalized search and recommendation systems reduce the time and effort required to locate information aligned with individual interests.
Nothing said yet.
People feel good when information confirms what they already believe is true.
<sentence>
9 votesdiscuss
People feel safe and secure in their own personal information bubbles, shielded from opposing views.
People's reluctance to engage with diverse viewpoints contributes to the formation of personal information bubbles, reinforcing existing beliefs and potentially leading to a lack of critical thinking and understanding of complex issues.
1 votesdiscuss
People prefer content that confirms their existing beliefs.
Users selectively engage with information that aligns with their pre-existing views, thereby reinforcing those beliefs rather than challenging them.
0 votesdiscuss
1. "Easier to find like-minded content"
Users can quickly locate content that aligns with their beliefs or interests.
0 votesdiscuss
People prefer comfort and familiarity in their information.
People tend to stick with news sources that reinforce their existing views rather than seeking out diverse perspectives.
9 votesdiscuss
People feel comfortable seeing content that matches what they already believe.
Individuals seek out information that aligns with their existing beliefs because it validates their worldview and reduces cognitive dissonance.
0 votesdiscuss
People want to avoid conflicting views to feel more comfortable.
I meant that when people with differing opinions are in the same room, they might feel uneasy and try to avoid discussing their differences.
9 votesdiscuss
People crave confirmation of their existing beliefs.
11 votesdiscuss
Algorithms prioritize engagement over diverse viewpoints.
2 votesdiscuss
People like filter bubbles because they feel safer. People like filter bubbles because they agree with it. People like filter bubbles because they avoid conflict.
People prefer filter bubbles because they provide a sense of security.
0 votesdiscuss
People feel safer and less confused when they only see opinions matching their own.
People seek out and consume only information that confirms their existing beliefs, avoiding cognitive dissonance.
0 votesdiscuss
People want to feel validated and avoid cognitive dissonance.
2 votesdiscuss
They seek comfort and emotional safety by staying in familiar views.
<sentence>
10 votesdiscuss
Filter bubbles provide personalized content. Filter bubbles reinforce existing beliefs. Filter bubbles save time by filtering.
Filter bubbles are algorithms that curate content based on user preferences, leading to personalized feeds.
0 votesdiscuss
Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms.
Algorithms prioritize content that aligns with user preferences to maximize engagement and time on the platform.
from other rooms1 votesdiscuss
People like filter bubbles because they reinforce existing beliefs.
Filter bubbles are popular because they provide psychological comfort by affirming what a person already thinks.
from other rooms0 votesdiscuss
They reduce the effort needed to find information that matches personal interests.
Personalized search and recommendation systems reduce the time and effort required to locate information aligned with individual interests.
from other rooms1 votesin focus ↑ · close ✕