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#opiniondynamics — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #opiniondynamics, aggregated by home.social.

  1. New paper out.

    What happens when you make a model that includes realistic details about how people discuss ideas and decide how to act upon them? The answer is that with just 3 such elements of realism, one can mathematically explain the emergence of commonly observed situations, such as reaching a consensus and exchanging opinions, but also the separation of ideologies and the appearance of stable polarization. Not only this, but one can also account for phenomena such as peer pressure, cognitive dissonance, tactical voting and toxic idealism ( @benroyce I told you I was going to do it 😀 ) and prove how they affect the final state of the system.

    sciencedirect.com/science/arti

    #physics #mathematics #networks #bifurcations #opiniondynamics #consensus #polarization #voting #peerpressure #cognitivedissonance #tacticalvoting #toxicidealism

  2. New paper out.

    What happens when you make a model that includes realistic details about how people discuss ideas and decide how to act upon them? The answer is that with just 3 such elements of realism, one can mathematically explain the emergence of commonly observed situations, such as reaching a consensus and exchanging opinions, but also the separation of ideologies and the appearance of stable polarization. Not only this, but one can also account for phenomena such as peer pressure, cognitive dissonance, tactical voting and toxic idealism ( @benroyce I told you I was going to do it 😀 ) and prove how they affect the final state of the system.

    sciencedirect.com/science/arti

    #physics #mathematics #networks #bifurcations #opiniondynamics #consensus #polarization #voting #peerpressure #cognitivedissonance #tacticalvoting #toxicidealism

  3. New paper out.

    What happens when you make a model that includes realistic details about how people discuss ideas and decide how to act upon them? The answer is that with just 3 such elements of realism, one can mathematically explain the emergence of commonly observed situations, such as reaching a consensus and exchanging opinions, but also the separation of ideologies and the appearance of stable polarization. Not only this, but one can also account for phenomena such as peer pressure, cognitive dissonance, tactical voting and toxic idealism ( @benroyce I told you I was going to do it 😀 ) and prove how they affect the final state of the system.

    sciencedirect.com/science/arti

    #physics #mathematics #networks #bifurcations #opiniondynamics #consensus #polarization #voting #peerpressure #cognitivedissonance #tacticalvoting #toxicidealism

  4. New paper out.

    What happens when you make a model that includes realistic details about how people discuss ideas and decide how to act upon them? The answer is that with just 3 such elements of realism, one can mathematically explain the emergence of commonly observed situations, such as reaching a consensus and exchanging opinions, but also the separation of ideologies and the appearance of stable polarization. Not only this, but one can also account for phenomena such as peer pressure, cognitive dissonance, tactical voting and toxic idealism ( @benroyce I told you I was going to do it 😀 ) and prove how they affect the final state of the system.

    sciencedirect.com/science/arti

    #physics #mathematics #networks #bifurcations #opiniondynamics #consensus #polarization #voting #peerpressure #cognitivedissonance #tacticalvoting #toxicidealism

  5. New paper out.

    What happens when you make a model that includes realistic details about how people discuss ideas and decide how to act upon them? The answer is that with just 3 such elements of realism, one can mathematically explain the emergence of commonly observed situations, such as reaching a consensus and exchanging opinions, but also the separation of ideologies and the appearance of stable polarization. Not only this, but one can also account for phenomena such as peer pressure, cognitive dissonance, tactical voting and toxic idealism ( @benroyce I told you I was going to do it 😀 ) and prove how they affect the final state of the system.

    sciencedirect.com/science/arti

    #physics #mathematics #networks #bifurcations #opiniondynamics #consensus #polarization #voting #peerpressure #cognitivedissonance #tacticalvoting #toxicidealism

  6. : Can a Single Line of Code Change Society? The Systemic Risks of Optimizing Engagement in Recommender Systems on Global Information Flow, Opinion Dynamics and Social Structures

    We demonstrate that engagement-maximizing algorithms necessarily lead to increased network toxicity and fragmentation of opinion space.

    Everything is calibrated on real data from the

    jasss.org/27/1/9.html

  7. #publication : Can a Single Line of Code Change Society? The Systemic Risks of Optimizing Engagement in Recommender Systems on Global Information Flow, Opinion Dynamics and Social Structures

    We demonstrate that engagement-maximizing algorithms necessarily lead to increased network toxicity and fragmentation of opinion space.

    Everything is calibrated on real data from the #Politoscope

    #systemicrisks #DSA #opiniondynamics #twitter #polarization #RecommenderSystems

    jasss.org/27/1/9.html

  8. #publication : Can a Single Line of Code Change Society? The Systemic Risks of Optimizing Engagement in Recommender Systems on Global Information Flow, Opinion Dynamics and Social Structures

    We demonstrate that engagement-maximizing algorithms necessarily lead to increased network toxicity and fragmentation of opinion space.

    Everything is calibrated on real data from the #Politoscope

    #systemicrisks #DSA #opiniondynamics #twitter #polarization #RecommenderSystems

    jasss.org/27/1/9.html

  9. #publication : Can a Single Line of Code Change Society? The Systemic Risks of Optimizing Engagement in Recommender Systems on Global Information Flow, Opinion Dynamics and Social Structures

    We demonstrate that engagement-maximizing algorithms necessarily lead to increased network toxicity and fragmentation of opinion space.

    Everything is calibrated on real data from the #Politoscope

    #systemicrisks #DSA #opiniondynamics #twitter #polarization #RecommenderSystems

    jasss.org/27/1/9.html

  10. #publication : Can a Single Line of Code Change Society? The Systemic Risks of Optimizing Engagement in Recommender Systems on Global Information Flow, Opinion Dynamics and Social Structures

    We demonstrate that engagement-maximizing algorithms necessarily lead to increased network toxicity and fragmentation of opinion space.

    Everything is calibrated on real data from the #Politoscope

    #systemicrisks #DSA #opiniondynamics #twitter #polarization #RecommenderSystems

    jasss.org/27/1/9.html

  11. #publication : Can a Single Line of Code Change Society? The Systemic Risks of Optimizing Engagement in Recommender Systems on Global Information Flow, Opinion Dynamics and Social Structures

    Où nous démontrons avec Paul Bouchaud et Maziyar Panahi que les algorithmes de maximization d'engagement sur Twitter et autres RS mènent nécessairement à une hausse de la toxicité du réseau, une fragmentation accrue de l'espace d'opinion.

    Tout est calibré sur des données réelles issues du #Politoscope

    #risquesystémiques #DSA #opiniondynamics #twitter #polarisation #RecommenderSystems

    L'article en libre accès : jasss.org/27/1/9.html

  12. #publication : Can a Single Line of Code Change Society? The Systemic Risks of Optimizing Engagement in Recommender Systems on Global Information Flow, Opinion Dynamics and Social Structures

    Où nous démontrons avec Paul Bouchaud et Maziyar Panahi que les algorithmes de maximization d'engagement sur Twitter et autres RS mènent nécessairement à une hausse de la toxicité du réseau, une fragmentation accrue de l'espace d'opinion.

    Tout est calibré sur des données réelles issues du #Politoscope

    #risquesystémiques #DSA #opiniondynamics #twitter #polarisation #RecommenderSystems

    L'article en libre accès : jasss.org/27/1/9.html

  13. #publication : Can a Single Line of Code Change Society? The Systemic Risks of Optimizing Engagement in Recommender Systems on Global Information Flow, Opinion Dynamics and Social Structures

    Où nous démontrons avec Paul Bouchaud et Maziyar Panahi que les algorithmes de maximization d'engagement sur Twitter et autres RS mènent nécessairement à une hausse de la toxicité du réseau, une fragmentation accrue de l'espace d'opinion.

    Tout est calibré sur des données réelles issues du #Politoscope

    #risquesystémiques #DSA #opiniondynamics #twitter #polarisation #RecommenderSystems

    L'article en libre accès : jasss.org/27/1/9.html

  14. #publication : Can a Single Line of Code Change Society? The Systemic Risks of Optimizing Engagement in Recommender Systems on Global Information Flow, Opinion Dynamics and Social Structures

    Où nous démontrons avec Paul Bouchaud et Maziyar Panahi que les algorithmes de maximization d'engagement sur Twitter et autres RS mènent nécessairement à une hausse de la toxicité du réseau, une fragmentation accrue de l'espace d'opinion.

    Tout est calibré sur des données réelles issues du #Politoscope

    #risquesystémiques #DSA #opiniondynamics #twitter #polarisation #RecommenderSystems

    L'article en libre accès : jasss.org/27/1/9.html

  15. #publication : Can a Single Line of Code Change Society? The Systemic Risks of Optimizing Engagement in Recommender Systems on Global Information Flow, Opinion Dynamics and Social Structures

    Où nous démontrons avec Paul Bouchaud et Maziyar Panahi que les algorithmes de maximization d'engagement sur Twitter et autres RS mènent nécessairement à une hausse de la toxicité du réseau, une fragmentation accrue de l'espace d'opinion.

    Tout est calibré sur des données réelles issues du #Politoscope

    #risquesystémiques #DSA #opiniondynamics #twitter #polarisation #RecommenderSystems

    L'article en libre accès : jasss.org/27/1/9.html

  16. #preprint We have a new #ABM called NormAN (for ‘Normative Argument Exchange Across Networks’) which we hope will help build bridges between research on #OpinionDynamics and #Argumentation research.

    It captures the exchange of arguments by #Bayesian agents in a ground truth world based on a #CausalGraph. Code is #Netlogo with #R (netlogo python coming soon).

    Take it for a spin!

    arxiv.org/abs/2311.09254

    #Complexity #Argument #ComputationalSocialScience #SocialEpistemology

  17. #preprint We have a new #ABM called NormAN (for ‘Normative Argument Exchange Across Networks’) which we hope will help build bridges between research on #OpinionDynamics and #Argumentation research.

    It captures the exchange of arguments by #Bayesian agents in a ground truth world based on a #CausalGraph. Code is #Netlogo with #R (netlogo python coming soon).

    Take it for a spin!

    arxiv.org/abs/2311.09254

    #Complexity #Argument #ComputationalSocialScience #SocialEpistemology

  18. #preprint We have a new #ABM called NormAN (for ‘Normative Argument Exchange Across Networks’) which we hope will help build bridges between research on #OpinionDynamics and #Argumentation research.

    It captures the exchange of arguments by #Bayesian agents in a ground truth world based on a #CausalGraph. Code is #Netlogo with #R (netlogo python coming soon).

    Take it for a spin!

    arxiv.org/abs/2311.09254

    #Complexity #Argument #ComputationalSocialScience #SocialEpistemology

  19. #preprint We have a new #ABM called NormAN (for ‘Normative Argument Exchange Across Networks’) which we hope will help build bridges between research on #OpinionDynamics and #Argumentation research.

    It captures the exchange of arguments by #Bayesian agents in a ground truth world based on a #CausalGraph. Code is #Netlogo with #R (netlogo python coming soon).

    Take it for a spin!

    arxiv.org/abs/2311.09254

    #Complexity #Argument #ComputationalSocialScience #SocialEpistemology

  20. #preprint We have a new #ABM called NormAN (for ‘Normative Argument Exchange Across Networks’) which we hope will help build bridges between research on #OpinionDynamics and #Argumentation research.

    It captures the exchange of arguments by #Bayesian agents in a ground truth world based on a #CausalGraph. Code is #Netlogo with #R (netlogo python coming soon).

    Take it for a spin!

    arxiv.org/abs/2311.09254

    #Complexity #Argument #ComputationalSocialScience #SocialEpistemology