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persone: 12 · idee: 17 · 3 contese
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condotta da il suo facilitatore (sigillata)
persone: 12 · idee: 17 · 3 stanze in federazione
3 coppie contese — pubblicate, non risolte
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↗ condividi questa mappa
Su un altro sito, come mappa interattiva:
Come immagine: https://truecauses.org/d/2aa668670fc7/map.svg
Come dati: tutte le coppie valutate in questa stanza (CSV). Ogni affermazione ha il suo indirizzo, /c/2aa668670fc7/<card>, elencato sotto la mappa.
Cita la fonte quando pubblichi: Causal map: True Causes, https://truecauses.org/d/2aa668670fc7
LA DOMANDA

Why do people like filter bubbles?

Proponi cosa fare, poi valuta se ogni azione smuoverebbe ogni radice.

Sigillata 22 giorni fa: questa stanza non sa più chi vi sedeva; solo il suo facilitatore resta nominato. Le sue conclusioni restano.
al tavolo: 12 · 6 azioni proposte per cause radice: 6. Aggiungine una, poi valuta se ogni azione smuove ogni causa.
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Alcune affermazioni si influenzano a vicenda in circolo
↺ Algorithms prioritize familiar, agreeable cont → People feel good when information confirms wha → People prefer comfort and familiarity in their → People crave confirmation of their existing be → …
Un circolo può essere una vera scoperta — un ciclo che si alimenta da sé — o un collegamento la cui direzione non è mai stata davvero decisa. La mappa tratta il gruppo come un unico nodo, quindi nulla al suo interno è una radice da solo. Se è il secondo caso, vale la pena riportare la coppia alla stanza.
Valuta prima le cause radice
perché
La prassi del metodo stesso, prima di proporre qualsiasi azione: ogni causa radice riceve un punteggio da 1 a 5 su quanto è fattibile affrontarla, quanto impatto avrebbe affrontarla, e quanto è probabile che si risolva da sola senza alcun intervento. La priorità va alle radici con impatto alto, fattibilità alta e bassa probabilità di risolversi da sole — priorità = impatto + fattibilità − probabilità. I punteggi sono mediati su tutto il gruppo e mostrati con il numero di chi ha votato.
1 = basso, 5 = alto. I tuoi punteggi; accanto, le medie del gruppo.
causa radicefattibileimpattosi risolve da solapriorità
People want to avoid conflicting views to feel more comfortable.––––
Algorithms prioritize engagement over diverse viewpoints.––––
People crave confirmation of their existing beliefs.––––
They seek comfort and emotional safety by staying in familiar views.––––
People prefer comfort and familiarity in their information.––––
People feel good when information confirms what they already believe is true.––––
Ogni azione smuoverebbe ogni causa radice?
Sul lato: le azioni proposte dalle persone. In alto: le cause radice trovate dalla mappa. Ogni casella è un voto su una domanda — questa azione ridurrebbe in modo significativo quella causa? Una parte deve raggiungere il 75% dei voti espressi per decidere; altrimenti la casella resta divisa. Ogni casella mostra come si sono distribuiti i voti — sì / peggio / no — e una casella è decisa quando una di queste voci ne raggiunge i tre quarti.
perché
Si decide con il 75% dei voti espressi, come ogni altra domanda qui. Divisa significa che le persone hanno votato e nessuna parte ha raggiunto quella soglia — è un risultato, non una coda, e resta divisa finché abbastanza persone non cambiano idea. Una casella che nessuno decide resta indecisa; non diventa mai un no. Valutare ogni coppia per conto suo impedisce di attribuire a un’azione popolare il merito di risolvere cose che non tocca.
AZIONECAUSE RADICE · l’azione a sinistra lo riduce?
People want to avoid conflicting views to feel more comfortable.Algorithms prioritize engagement over diverse viewpoints.People crave confirmation of their existing beliefs.They seek comfort and emotional safety by staying in familiar views.People prefer comfort and familiarity in their information.People feel good when information confirms what they already believe is true.
Platforms should update recommendation algorithms to ensure every user feed includes a mandatory quota of high-quality content from opposing viewpoints, decoupled from engagement-based ranking. discuti✗ no, non la riduce
2 sì / 0 peggio / 7 no
✓ sì, la riduce
8 sì / 0 peggio / 1 no
non ancora deciso
non ancora deciso
non ancora deciso
non ancora deciso
Algorithm developers to prioritize viewpoint diversity in the design process. discuti✗ no, non la riduce
2 sì / 0 peggio / 7 no
✓ sì, la riduce
7 sì / 0 peggio / 2 no
non ancora deciso
non ancora deciso
non ancora deciso
non ancora deciso
Social media platforms will reshuffle their algorithms to promote diverse viewpoints. discuti✗ no, non la riduce
2 sì / 0 peggio / 7 no
✓ sì, la riduce
7 sì / 0 peggio / 2 no
non ancora deciso
non ancora deciso
non ancora deciso
non ancora deciso
Require social media platforms to include a viewpoint-diversity metric in their content ranking algorithms so that exposure to diverse perspectives is weighted alongside engagement metrics. discuti✗ no, non la riduce
2 sì / 0 peggio / 7 no
✓ sì, la riduce
7 sì / 0 peggio / 2 no
non ancora deciso
non ancora deciso
non ancora deciso
non ancora deciso
Create an anonymous, opt-in 'Diverse Viewpoint' section in online forums where users can share conflicting views without fear of judgment. discuti⚑ il gruppo si è diviso
5 sì / 0 peggio / 4 no
✗ no, non la riduce
2 sì / 0 peggio / 7 no
non ancora deciso
non ancora deciso
non ancora deciso
non ancora deciso
Implement a weighting system in algorithms that assigns higher priority to diverse viewpoints to ensure balanced content exposure. discuti⚑ il gruppo si è diviso
3 sì / 0 peggio / 7 no
⚑ il gruppo si è diviso
7 sì / 0 peggio / 3 no
non ancora deciso
non ancora deciso
non ancora deciso
non ancora deciso
Massimo effetto finora
Platforms should update recommendation algorithms to ensure every user feed includes a mandatory quota of high-quality content from opposing viewpoints, decoupled from engagement-based ranking. riduce cause radice: 1 su 6
Algorithm developers to prioritize viewpoint diversity in the design process. riduce cause radice: 1 su 6
Social media platforms will reshuffle their algorithms to promote diverse viewpoints. riduce cause radice: 1 su 6
Require social media platforms to include a viewpoint-diversity metric in their content ranking algorithms so that exposure to diverse perspectives is weighted alongside engagement metrics. riduce cause radice: 1 su 6
LE AZIONI SULLA MAPPA
Mostrati: tutte le azioni valutate dalla stanza. Cause radice su cui agisce direttamente: 1 su 6. Senza azione diretta: 5.
Ricavato dalle caselle che la stanza ha deciso nella fase Azioni, e da nient’altro. Una radice in verde è ridotta da almeno una delle azioni mostrate; in grigio, nessuna di esse agisce direttamente su di essa; un bordo rosso significa che una di esse la peggiora.
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.Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. → People prefer comfort and familiarity in their information.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.Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. → People crave confirmation of their existing beliefs.Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms. → People want to feel validated and avoid cognitive dissonance.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.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.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.People feel good when information confirms what they already believe is true. → People prefer comfort and familiarity in their information.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.People feel good when information confirms what they already believe is true. → People crave confirmation of their existing beliefs.People feel good when information confirms what they already believe is true. → People want to feel validated and avoid cognitive dissonance.People feel good when information confirms what they already believe is true. → They seek comfort and emotional safety by staying in familiar views.People feel good when information confirms what they already believe is true. → They reduce the effort needed to find information that matches personal interests.People prefer comfort and familiarity in their information. → Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms.People prefer comfort and familiarity in their information. → People feel good when information confirms what they already believe is true.People prefer comfort and familiarity in their information. → People feel safe and secure in their own personal information bubbles, shielded from opposing views.People prefer comfort and familiarity in their information. → People crave confirmation of their existing beliefs.People prefer comfort and familiarity in their information. → People want to feel validated and avoid cognitive dissonance.People prefer comfort and familiarity in their information. → They seek comfort and emotional safety by staying in familiar views.People prefer comfort and familiarity in their information. → They reduce the effort needed to find information that matches personal interests.People crave confirmation of their existing beliefs. → Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms.People crave confirmation of their existing beliefs. → People feel good when information confirms what they already believe is true.People crave confirmation of their existing beliefs. → People prefer comfort and familiarity in their information.People crave confirmation of their existing beliefs. → People feel safe and secure in their own personal information bubbles, shielded from opposing views.People crave confirmation of their existing beliefs. → People want to feel validated and avoid cognitive dissonance.People crave confirmation of their existing beliefs. → They seek comfort and emotional safety by staying in familiar views.People crave confirmation of their existing beliefs. → They reduce the effort needed to find information that matches personal interests.People want to feel validated and avoid cognitive dissonance. → Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms.People want to feel validated and avoid cognitive dissonance. → People feel good when information confirms what they already believe is true.People want to feel validated and avoid cognitive dissonance. → People prefer comfort and familiarity in their information.People want to feel validated and avoid cognitive dissonance. → People feel safe and secure in their own personal information bubbles, shielded from opposing views.People want to feel validated and avoid cognitive dissonance. → People crave confirmation of their existing beliefs.People want to feel validated and avoid cognitive dissonance. → They seek comfort and emotional safety by staying in familiar views.People want to feel validated and avoid cognitive dissonance. → They reduce the effort needed to find information that matches personal interests.Algorithms prioritize engagement over diverse viewpoints. → Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms.Algorithms prioritize engagement over diverse viewpoints. → People feel good when information confirms what they already believe is true.Algorithms prioritize engagement over diverse viewpoints. → People prefer comfort and familiarity in their information.Algorithms prioritize engagement over diverse viewpoints. → People crave confirmation of their existing beliefs.Algorithms prioritize engagement over diverse viewpoints. → People want to feel validated and avoid cognitive dissonance.Algorithms prioritize engagement over diverse viewpoints. → They seek comfort and emotional safety by staying in familiar views.Algorithms prioritize engagement over diverse viewpoints. → They reduce the effort needed to find information that matches personal interests.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.They seek comfort and emotional safety by staying in familiar views. → People feel good when information confirms what they already believe is true.They seek comfort and emotional safety by staying in familiar views. → People prefer comfort and familiarity in their information.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.They seek comfort and emotional safety by staying in familiar views. → People crave confirmation of their existing beliefs.They seek comfort and emotional safety by staying in familiar views. → People want to feel validated and avoid cognitive dissonance.They seek comfort and emotional safety by staying in familiar views. → They reduce the effort needed to find information that matches personal interests.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.They reduce the effort needed to find information that matches personal interests. → People feel good when information confirms what they already believe is true.They reduce the effort needed to find information that matches personal interests. → People prefer comfort and familiarity in their information.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.They reduce the effort needed to find information that matches personal interests. → People crave confirmation of their existing beliefs.They reduce the effort needed to find information that matches personal interests. → People want to feel validated and avoid cognitive dissonance.They reduce the effort needed to find information that matches personal interests. → They seek comfort and emotional safety by staying in familiar views.People want to avoid conflicting views to feel more comfortable. → Algorithms prioritize familiar, agreeable content to keep users spending more time on their platforms.People want to avoid conflicting views to feel more comfortable. → People feel good when information confirms what they already believe is true.People want to avoid conflicting views to feel more comfortable. → People prefer comfort and familiarity in their information.People want to avoid conflicting views to feel more comfortable. → People crave confirmation of their existing beliefs.People want to avoid conflicting views to feel more comfortable. → People want to feel validated and avoid cognitive dissonance.People want to avoid conflicting views to feel more comfortable. → They seek comfort and emotional safety by staying in familiar views.People want to avoid conflicting views to feel more comfortable. → 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. → Algorithms prioritize engagement over diverse viewpoints.People want to avoid conflicting views to feel more comfortable. → Algorithms prioritize engagement over diverse viewpoints.They seek comfort and emotional safety by staying in familiar views. → Algorithms prioritize engagement over diverse viewpoints.Algorithms prioritize engagement over diverse viewpoints. ① Platforms should update recommendation algorithms to ensure every user feed includes a mandatory quota of high-quality content from opposing viewpoints, decoupled from engagement-based ranking. ② Algorithm developers to prioritize viewpoint diversity in the design process. ③ Social media platforms will reshuffle their algorithms to promote diverse viewpoints. ④ Require social media platforms to include a viewpoint-diversity metric in their content ranking algorithms so that exposure to diverse perspectives is weighted alongside engagement metrics.Algorithms prioritizeengagement over diverseviewpoints.①②③④cosa fanno le azioni mostrate a questa causa radiceRIDOTTA DA 4 AZIONIPeople want to avoid conflicting views to feel more comfortable.People want to avoidconflicting views to feelmore comfortable.cosa fanno le azioni mostrate a questa causa radiceNESSUNA AZIONE AGISCEDIRETTAMENTE SU DI ESSAAlgorithms prioritize familiar, agreeable content to keep users spending more time on their platforms.Algorithms prioritizefamiliar, agreeable contentto keep users spending moretime on their platforms.parte di un circolo di retroazione⟳People crave confirmation of their existing beliefs.People crave confirmationof their existing beliefs.parte di un circolo di retroazione⟳cosa fanno le azioni mostrate a questa causa radiceNESSUNA AZIONE AGISCEDIRETTAMENTE SU DI ESSAPeople feel good when information confirms what they already believe is true.People feel good wheninformation confirms whatthey already believe istrue.parte di un circolo di retroazione⟳cosa fanno le azioni mostrate a questa causa radiceNESSUNA AZIONE AGISCEDIRETTAMENTE SU DI ESSAPeople prefer comfort and familiarity in their information.People prefer comfort andfamiliarity in theirinformation.parte di un circolo di retroazione⟳cosa fanno le azioni mostrate a questa causa radiceNESSUNA AZIONE AGISCEDIRETTAMENTE SU DI ESSAPeople want to feel validated and avoid cognitive dissonance.People want to feelvalidated and avoidcognitive dissonance.parte di un circolo di retroazione⟳They reduce the effort needed to find information that matches personal interests.They reduce the effortneeded to find informationthat matches personalinterests.parte di un circolo di retroazione⟳They seek comfort and emotional safety by staying in familiar views.They seek comfort andemotional safety by stayingin familiar views.parte di un circolo di retroazione⟳cosa fanno le azioni mostrate a questa causa radiceNESSUNA AZIONE AGISCEDIRETTAMENTE SU DI ESSAPeople feel safe and secure in their own personal information bubbles, shielded from opposing views.People feel safe and securein their own personalinformation bubbles,shielded from opposingviews.
Ogni numero sulla mappa segna una causa radice che quell’azione riduce.
① Platforms should update recommendation algorithms to ensure every user feed includes a mandatory quota of high-quality content from opposing viewpoints, decoupled from engagement-based ranking.
② Algorithm developers to prioritize viewpoint diversity in the design process.
③ Social media platforms will reshuffle their algorithms to promote diverse viewpoints.
④ Require social media platforms to include a viewpoint-diversity metric in their content ranking algorithms so that exposure to diverse perspectives is weighted alongside engagement metrics.
⑤ Create an anonymous, opt-in 'Diverse Viewpoint' section in online forums where users can share conflicting views without fear of judgment.
⑥ Implement a weighting system in algorithms that assigns higher priority to diverse viewpoints to ensure balanced content exposure.
DALLE AZIONI A UN PIANO
La griglia ha giudicato ogni azione da sola. Un piano è un insieme di azioni che la stanza realizzerebbe insieme.
I membri compongono piani a partire dalle azioni che riducono una causa radice, e la stanza confronta i piani due alla volta, con i tre quarti dei voti espressi, come ha giudicato tutto il resto. Ogni piano mostra su quali cause radice agisce direttamente, su quali no e quali peggiora.
Il facilitatore può aprire un confronto tra piani.