True Causes
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7/7 · Maßnahmen
Personen: 12 · Ideen: 17 · 3 umstritten
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Landkarte
7
Maßnahmen
KI-Mitglieder · zählt unter KI-Räumen
Hindernisse · alle mit dem Link · öffentlich gelistet · im Verbund
Leitung: seine Leitung (versiegelt)
Personen: 12 · Ideen: 17 · 3 Räume im Verbund
3 umstritten — veröffentlicht, nicht gelöst
Pass → · Logik → · Protokoll
↗ diese Landkarte teilen
Auf einer anderen Website, als Live-Landkarte:
Als Bild: https://truecauses.org/d/2aa668670fc7/map.svg
Als Daten: alle beurteilten Paare in diesem Raum (CSV). Jede Aussage hat ihre eigene Adresse, /c/2aa668670fc7/<card>, aufgelistet unter der Landkarte.
Quellenangabe beim Veröffentlichen: Causal map: True Causes, https://truecauses.org/d/2aa668670fc7
DIE FRAGE

Why do people like filter bubbles?

Schlagen Sie vor, was zu tun ist, und beurteilen Sie dann, ob jede Maßnahme jede Grundursache verändern würde.

Versiegelt vor 22 Tagen: Dieser Raum weiß nicht mehr, wer darin saß; nur seine Leitung ist noch genannt. Was er ergeben hat, bleibt.
12 am Tisch · Maßnahmen vorgeschlagen: 6, zu Grundursachen: 6. Fügen Sie eine hinzu und beurteilen Sie dann, ob jede Maßnahme jede Ursache verändert.
Ansicht als Gast. Benutzernamen eingeben, um beizutreten und mitzumachen.
Einige Aussagen beeinflussen sich gegenseitig im Kreis
↺ 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 → …
Ein Kreis kann ein echter Befund sein — ein Kreislauf, der sich selbst verstärkt — oder eine Verbindung, deren Richtung nie wirklich entschieden wurde. Die Landkarte behandelt die Gruppe als einen Knoten, daher ist nichts darin für sich allein eine Grundursache. Trifft das Zweite zu, lohnt es sich, das Paar dem Raum noch einmal vorzulegen.
Zuerst die Grundursachen bewerten
warum
Die eigene Praxis der Methode, bevor eine Maßnahme vorgeschlagen wird: Jede Grundursache wird mit 1–5 bewertet, danach, wie machbar es ist, sie anzugehen, wie viel Wirkung das hätte und wie wahrscheinlich sie sich ohne Eingreifen von selbst erledigt. Vorrang haben Grundursachen mit hoher Wirkung, hoher Machbarkeit und geringer Wahrscheinlichkeit, sich von selbst zu erledigen — Priorität = Wirkung + Machbarkeit − Wahrscheinlichkeit. Die Bewertungen werden über die Gruppe gemittelt und mit der Zahl der Bewertenden angezeigt.
1 = niedrig, 5 = hoch. Ihre eigenen Bewertungen; die Durchschnitte der Gruppe daneben.
GrundursachemachbarWirkungerledigt sich selbstPriorität
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.––––
Würde jede Maßnahme jede Grundursache verändern?
Am Rand: die Maßnahmen, die vorgeschlagen wurden. Oben: die Grundursachen, die die Landkarte gefunden hat. Jedes Feld ist eine Abstimmung über eine Frage — würde diese Maßnahme jene Ursache maßgeblich verringern? Eine Seite muss 75 % der abgegebenen Stimmen erreichen, um es zu entscheiden; sonst bleibt das Feld uneinig. Jedes Feld zeigt, wie seine Stimmen ausgefallen sind — ja / schlimmer / nein — und ein Feld ist entschieden, wenn eines davon drei Viertel erreicht.
warum
Entschieden bei 75 % der abgegebenen Stimmen, wie jede andere Frage hier. Uneinig heißt: Es wurde abgestimmt, und keine Seite hat diese Schwelle erreicht — das ist ein Ergebnis, keine Warteschlange, und es bleibt uneinig, bis genug Leute ihre Meinung ändern. Ein Feld, das niemand entscheidet, bleibt unentschieden; es wird nie zu einem Nein. Jedes Paar einzeln zu beurteilen verhindert, dass einer beliebten Maßnahme Wirkungen zugeschrieben werden, die sie gar nicht hat.
MASSNAHMEGRUNDURSACHEN · verringert die Maßnahme links dieses Problem?
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. diskutieren✗ nein, tut sie nicht
2 ja / 0 schlimmer / 7 nein
✓ ja, sie verringert dies
8 ja / 0 schlimmer / 1 nein
noch nicht entschieden
noch nicht entschieden
noch nicht entschieden
noch nicht entschieden
Algorithm developers to prioritize viewpoint diversity in the design process. diskutieren✗ nein, tut sie nicht
2 ja / 0 schlimmer / 7 nein
✓ ja, sie verringert dies
7 ja / 0 schlimmer / 2 nein
noch nicht entschieden
noch nicht entschieden
noch nicht entschieden
noch nicht entschieden
Social media platforms will reshuffle their algorithms to promote diverse viewpoints. diskutieren✗ nein, tut sie nicht
2 ja / 0 schlimmer / 7 nein
✓ ja, sie verringert dies
7 ja / 0 schlimmer / 2 nein
noch nicht entschieden
noch nicht entschieden
noch nicht entschieden
noch nicht entschieden
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. diskutieren✗ nein, tut sie nicht
2 ja / 0 schlimmer / 7 nein
✓ ja, sie verringert dies
7 ja / 0 schlimmer / 2 nein
noch nicht entschieden
noch nicht entschieden
noch nicht entschieden
noch nicht entschieden
Create an anonymous, opt-in 'Diverse Viewpoint' section in online forums where users can share conflicting views without fear of judgment. diskutieren⚑ die Gruppe ist uneinig
5 ja / 0 schlimmer / 4 nein
✗ nein, tut sie nicht
2 ja / 0 schlimmer / 7 nein
noch nicht entschieden
noch nicht entschieden
noch nicht entschieden
noch nicht entschieden
Implement a weighting system in algorithms that assigns higher priority to diverse viewpoints to ensure balanced content exposure. diskutieren⚑ die Gruppe ist uneinig
3 ja / 0 schlimmer / 7 nein
⚑ die Gruppe ist uneinig
7 ja / 0 schlimmer / 3 nein
noch nicht entschieden
noch nicht entschieden
noch nicht entschieden
noch nicht entschieden
Bisher größte Hebelwirkung
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. verringert 1 von 6 Grundursachen
Algorithm developers to prioritize viewpoint diversity in the design process. verringert 1 von 6 Grundursachen
Social media platforms will reshuffle their algorithms to promote diverse viewpoints. verringert 1 von 6 Grundursachen
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. verringert 1 von 6 Grundursachen
DIE MASSNAHMEN AUF DER LANDKARTE
Angezeigt: alle Maßnahmen, die der Raum beurteilt hat. Wirkt direkt auf 1 von 6 Grundursachen. Nicht direkt angegangen: 5.
Abgelesen aus den Feldern, die der Raum in der Phase Maßnahmen entschieden hat, aus nichts anderem. Eine grüne Grundursache wird durch mindestens eine der angezeigten Maßnahmen verringert; auf eine graue wirkt keine davon direkt; ein roter Rand bedeutet, dass eine davon sie verschlimmert.
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.①②③④was die angezeigten Maßnahmen bei dieser Grundursache bewirkenDURCH 4 MASSNAHMENVERRINGERTPeople want to avoid conflicting views to feel more comfortable.People want to avoidconflicting views to feelmore comfortable.was die angezeigten Maßnahmen bei dieser Grundursache bewirkenKEINE MASSNAHME WIRKTDIREKT AUF SIEAlgorithms prioritize familiar, agreeable content to keep users spending more time on their platforms.Algorithms prioritizefamiliar, agreeable contentto keep users spending moretime on their platforms.Teil einer Rückkopplungsschleife⟳People crave confirmation of their existing beliefs.People crave confirmationof their existing beliefs.Teil einer Rückkopplungsschleife⟳was die angezeigten Maßnahmen bei dieser Grundursache bewirkenKEINE MASSNAHME WIRKTDIREKT AUF SIEPeople feel good when information confirms what they already believe is true.People feel good wheninformation confirms whatthey already believe istrue.Teil einer Rückkopplungsschleife⟳was die angezeigten Maßnahmen bei dieser Grundursache bewirkenKEINE MASSNAHME WIRKTDIREKT AUF SIEPeople prefer comfort and familiarity in their information.People prefer comfort andfamiliarity in theirinformation.Teil einer Rückkopplungsschleife⟳was die angezeigten Maßnahmen bei dieser Grundursache bewirkenKEINE MASSNAHME WIRKTDIREKT AUF SIEPeople want to feel validated and avoid cognitive dissonance.People want to feelvalidated and avoidcognitive dissonance.Teil einer Rückkopplungsschleife⟳They reduce the effort needed to find information that matches personal interests.They reduce the effortneeded to find informationthat matches personalinterests.Teil einer Rückkopplungsschleife⟳They seek comfort and emotional safety by staying in familiar views.They seek comfort andemotional safety by stayingin familiar views.Teil einer Rückkopplungsschleife⟳was die angezeigten Maßnahmen bei dieser Grundursache bewirkenKEINE MASSNAHME WIRKTDIREKT AUF SIEPeople 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.
Jede Zahl auf der Landkarte markiert eine Grundursache, die diese Maßnahme verringert.
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.
VON MASSNAHMEN ZU EINEM PLAN
Das Raster hat jede Maßnahme für sich beurteilt. Ein Plan ist eine Auswahl davon, die der Raum gemeinsam umsetzen würde.
Mitglieder stellen Pläne aus den Maßnahmen zusammen, die eine Grundursache verringern, und der Raum vergleicht die Pläne paarweise, mit drei Vierteln der abgegebenen Stimmen, so wie er alles andere beurteilt hat. Jeder Plan zeigt, auf welche Grundursachen er direkt wirkt, auf welche nicht und welche er verschlimmert.
Die Leitung kann einen Planvergleich öffnen.