PYTANIE
Why do people like filter bubbles?
Grupuj karty, które uważasz za podobne. Grupy porządkują czytanie; niczego nie rozstrzygają.
zamknięte · wróć do etapu Działania
Podgląd jako gość. Podaj nazwę użytkownika, żeby dołączyć i wziąć udział.
Klastry powstają z podobieństwa, nazwy na końcu
Kolejność: łącz w pary pomysły, które uważasz za podobne — powiązania są symetryczne (A~B to B~A; kierunek nie ma znaczenia), a powiązanie się utrzymuje, gdy liczba osób, które je utworzyły, osiągnie 2.
dlaczego
Powiązania są symetryczne — A~B to B~A. Klastry to grupy, które wyłaniają się z utrzymanych powiązań, a nazwać można tylko gotowy klaster, i robi to człowiek. Przy Twoich powiązaniach jest ✕, by je wycofać; cudzych nie możesz usunąć. Klastry porządkują tablicę i nigdy nie blokują głosowania — dwie karty, które mówią to samo TWIERDZENIE, scala się wcześniej, na etapie Wyjaśnianie.
Powiązania i nazwy powstają, gdy trwa etap Grupowanie; osoba prowadząca może go ponownie otworzyć przyciskiem ←.
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.
Nikt jeszcze nic nie napisał.
proponowana grupa (7) każde powiązanie ~ się utrzymuje, gdy liczba osób osiągnie 2
People prefer content that confirms their existing beliefs.
~ People crave confirma…People crave confirmation of their existing beliefs. (4)
~ People want to feel v…People want to feel validated and avoid cognitive dissonance. (1) · 1/2
~ People feel good when…People feel good when information confirms what they already believe is true. (2)
People prefer comfort and familiarity in their information.
~ People feel safe and …People feel safe and secure in their own personal information bubbles, shielded from opposing views. (1) · 1/2
~ They seek comfort and…They seek comfort and emotional safety by staying in familiar views. (1) · 1/2
People feel safe and secure in their own personal information bubbles, shielded from opposing views.
~ People like filter bu…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. (7)
~ People feel safer and…People feel safer and less confused when they only see opinions matching their own. (2)
~ People prefer comfort…People prefer comfort and familiarity in their information. (1) · 1/2
People crave confirmation of their existing beliefs.
~ People prefer content…People prefer content that confirms their existing beliefs. (4)
~ People want to feel v…People want to feel validated and avoid cognitive dissonance. (1) · 1/2
People want to feel validated and avoid cognitive dissonance.
~ People prefer content…People prefer content that confirms their existing beliefs. (1) · 1/2
~ People feel good when…People feel good when information confirms what they already believe is true. (2)
~ People crave confirma…People crave confirmation of their existing beliefs. (1) · 1/2
~ They seek comfort and…They seek comfort and emotional safety by staying in familiar views. (1) · 1/2
They seek comfort and emotional safety by staying in familiar views.
~ People feel comfortab…People feel comfortable seeing content that matches what they already believe. (1) · 1/2
~ People prefer comfort…People prefer comfort and familiarity in their information. (1) · 1/2
~ ? (1) · 1/2
~ People want to feel v…People want to feel validated and avoid cognitive dissonance. (1) · 1/2
People feel comfortable seeing content that matches what they already believe.
~ They seek comfort and…They seek comfort and emotional safety by staying in familiar views. (1) · 1/2
~ ? (2)
proponowana grupa (3) każde powiązanie ~ się utrzymuje, gdy liczba osób osiągnie 2
1. "Easier to find like-minded content"
~ They reduce the effor…They reduce the effort needed to find information that matches personal interests. (1) · 1/2
Filter bubbles provide personalized content. Filter bubbles reinforce existing beliefs. Filter bubbles save time by filtering.
~ They reduce the effor…They reduce the effort needed to find information that matches personal interests. (1) · 1/2
~ People like filter bu…People like filter bubbles because they reinforce existing beliefs. (2)
They reduce the effort needed to find information that matches personal interests.
~ Filter bubbles provid…Filter bubbles provide personalized content. Filter bubbles reinforce existing beliefs. Filter bubbles save time by filtering. (1) · 1/2
~ 1. "Easier to find li…1. "Easier to find like-minded content" (1) · 1/2
proponowana grupa (2) każde powiązanie ~ się utrzymuje, gdy liczba osób osiągnie 2
People feel safer and less confused when they only see opinions matching their own.
~ Algorithms prioritize…Algorithms prioritize engagement over diverse viewpoints. (4)
~ People feel safe and …People feel safe and secure in their own personal information bubbles, shielded from opposing views. (2)
~ People want to avoid …People want to avoid conflicting views to feel more comfortable. (1) · 1/2
People want to avoid conflicting views to feel more comfortable.
~ ? (1) · 1/2
~ People feel safer and…People feel safer and less confused when they only see opinions matching their own. (1) · 1/2
· jeszcze poza klastrami (5)
People feel good when information confirms what they already believe is true.
~ People prefer content…People prefer content that confirms their existing beliefs. (2)
~ People want to feel v…People want to feel validated and avoid cognitive dissonance. (2)
Algorithms prioritize engagement over diverse viewpoints.
~ Algorithms prioritize…Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. (5)
~ People feel safer and…People feel safer and less confused when they only see opinions matching their own. (4)
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 feel safe and …People feel safe and secure in their own personal information bubbles, shielded from opposing views. (7)
~ ? (1) · 1/2
Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms.
~ Algorithms prioritize…Algorithms prioritize engagement over diverse viewpoints. (5)
People like filter bubbles because they reinforce existing beliefs.