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  1. AU="Bak-Coleman, Joseph B"
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  1. Article ; Online: Reply to Cheong and Jones: The role of science in responding to collective behavioral threats.

    Bak-Coleman, Joseph B / Bergstrom, Carl T

    Proceedings of the National Academy of Sciences of the United States of America

    2021  Volume 118, Issue 42

    Language English
    Publishing date 2021-10-15
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.2114477118
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1148: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: Information gerrymandering in social networks skews collective decision-making.

    Bergstrom, Carl T / Bak-Coleman, Joseph B

    Nature

    2019  Volume 573, Issue 7772, Page(s) 40–41

    MeSH term(s) Decision Making ; Social Behavior ; Social Networking
    Language English
    Publishing date 2019-09-04
    Publishing country England
    Document type News ; Comment
    ZDB-ID 120714-3
    ISSN 1476-4687 ; 0028-0836
    ISSN (online) 1476-4687
    ISSN 0028-0836
    DOI 10.1038/d41586-019-02562-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 26: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MG 9: Show issues
    Zs.MO 244: Show issues

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  3. Article ; Online: The wisdom of stalemates: consensus and clustering as filtering mechanisms for improving collective accuracy.

    Winklmayr, Claudia / Kao, Albert B / Bak-Coleman, Joseph B / Romanczuk, Pawel

    Proceedings. Biological sciences

    2020  Volume 287, Issue 1938, Page(s) 20201802

    Abstract: Groups of organisms, from bacteria to fish schools to human societies, depend on their ability to make accurate decisions in an uncertain world. Most models of collective decision-making assume that groups reach a consensus during a decision-making bout, ...

    Abstract Groups of organisms, from bacteria to fish schools to human societies, depend on their ability to make accurate decisions in an uncertain world. Most models of collective decision-making assume that groups reach a consensus during a decision-making bout, often through simple majority rule. In many natural and sociological systems, however, groups may fail to reach consensus, resulting in stalemates. Here, we build on opinion dynamics and collective wisdom models to examine how stalemates may affect the wisdom of crowds. For simple environments, where individuals have access to independent sources of information, we find that stalemates improve collective accuracy by selectively filtering out incorrect decisions (an effect we call stalemate filtering). In complex environments, where individuals have access to both shared and independent information, this effect is even more pronounced, restoring the wisdom of crowds in regions of parameter space where large groups perform poorly when making decisions using majority rule. We identify network properties that tune the system between consensus and accuracy, providing mechanisms by which animals, or evolution, could dynamically adjust the collective decision-making process in response to the reward structure of the possible outcomes. Overall, these results highlight the adaptive potential of stalemate filtering for improving the decision-making abilities of group-living animals.
    MeSH term(s) Animals ; Cluster Analysis ; Consensus ; Crowding ; Decision Making ; Humans ; Social Behavior
    Language English
    Publishing date 2020-11-04
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 209242-6
    ISSN 1471-2954 ; 0080-4649 ; 0962-8452 ; 0950-1193
    ISSN (online) 1471-2954
    ISSN 0080-4649 ; 0962-8452 ; 0950-1193
    DOI 10.1098/rspb.2020.1802
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1364: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  4. Article ; Online: Combining interventions to reduce the spread of viral misinformation.

    Bak-Coleman, Joseph B / Kennedy, Ian / Wack, Morgan / Beers, Andrew / Schafer, Joseph S / Spiro, Emma S / Starbird, Kate / West, Jevin D

    Nature human behaviour

    2022  Volume 6, Issue 10, Page(s) 1372–1380

    Abstract: Misinformation online poses a range of threats, from subverting democratic processes to undermining public health measures. Proposed solutions range from encouraging more selective sharing by individuals to removing false content and accounts that create ...

    Abstract Misinformation online poses a range of threats, from subverting democratic processes to undermining public health measures. Proposed solutions range from encouraging more selective sharing by individuals to removing false content and accounts that create or promote it. Here we provide a framework to evaluate interventions aimed at reducing viral misinformation online both in isolation and when used in combination. We begin by deriving a generative model of viral misinformation spread, inspired by research on infectious disease. By applying this model to a large corpus (10.5 million tweets) of misinformation events that occurred during the 2020 US election, we reveal that commonly proposed interventions are unlikely to be effective in isolation. However, our framework demonstrates that a combined approach can achieve a substantial reduction in the prevalence of misinformation. Our results highlight a practical path forward as misinformation online continues to threaten vaccination efforts, equity and democratic processes around the globe.
    MeSH term(s) Humans ; Social Media ; Communication ; Public Health ; Vaccination ; Politics
    Language English
    Publishing date 2022-06-23
    Publishing country England
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, Non-U.S. Gov't
    ISSN 2397-3374
    ISSN (online) 2397-3374
    DOI 10.1038/s41562-022-01388-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Stewardship of global collective behavior.

    Bak-Coleman, Joseph B / Alfano, Mark / Barfuss, Wolfram / Bergstrom, Carl T / Centeno, Miguel A / Couzin, Iain D / Donges, Jonathan F / Galesic, Mirta / Gersick, Andrew S / Jacquet, Jennifer / Kao, Albert B / Moran, Rachel E / Romanczuk, Pawel / Rubenstein, Daniel I / Tombak, Kaia J / Van Bavel, Jay J / Weber, Elke U

    Proceedings of the National Academy of Sciences of the United States of America

    2021  Volume 118, Issue 27

    Abstract: Collective behavior provides a framework for understanding how the actions and properties of groups emerge from the way individuals generate and share information. In humans, information flows were initially shaped by natural selection yet are ... ...

    Abstract Collective behavior provides a framework for understanding how the actions and properties of groups emerge from the way individuals generate and share information. In humans, information flows were initially shaped by natural selection yet are increasingly structured by emerging communication technologies. Our larger, more complex social networks now transfer high-fidelity information over vast distances at low cost. The digital age and the rise of social media have accelerated changes to our social systems, with poorly understood functional consequences. This gap in our knowledge represents a principal challenge to scientific progress, democracy, and actions to address global crises. We argue that the study of collective behavior must rise to a "crisis discipline" just as medicine, conservation, and climate science have, with a focus on providing actionable insight to policymakers and regulators for the stewardship of social systems.
    MeSH term(s) Algorithms ; Behavior ; Communication ; Cooperative Behavior ; Humans ; Internationality ; Social Networking
    Language English
    Publishing date 2021-06-21
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S. ; Review
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.2025764118
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 1148: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

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  6. Article ; Online: Counteracting estimation bias and social influence to improve the wisdom of crowds.

    Kao, Albert B / Berdahl, Andrew M / Hartnett, Andrew T / Lutz, Matthew J / Bak-Coleman, Joseph B / Ioannou, Christos C / Giam, Xingli / Couzin, Iain D

    Journal of the Royal Society, Interface

    2018  Volume 15, Issue 141

    Abstract: Aggregating multiple non-expert opinions into a collective estimate can improve accuracy across many contexts. However, two sources of error can diminish collective wisdom: individual estimation biases and information sharing between individuals. Here, ... ...

    Abstract Aggregating multiple non-expert opinions into a collective estimate can improve accuracy across many contexts. However, two sources of error can diminish collective wisdom: individual estimation biases and information sharing between individuals. Here, we measure individual biases and social influence rules in multiple experiments involving hundreds of individuals performing a classic numerosity estimation task. We first investigate how existing aggregation methods, such as calculating the arithmetic mean or the median, are influenced by these sources of error. We show that the mean tends to overestimate, and the median underestimate, the true value for a wide range of numerosities. Quantifying estimation bias, and mapping individual bias to collective bias, allows us to develop and validate three new aggregation measures that effectively counter sources of collective estimation error. In addition, we present results from a further experiment that quantifies the social influence rules that individuals employ when incorporating personal estimates with social information. We show that the corrected mean is remarkably robust to social influence, retaining high accuracy in the presence or absence of social influence, across numerosities and across different methods for averaging social information. Using knowledge of estimation biases and social influence rules may therefore be an inexpensive and general strategy to improve the wisdom of crowds.
    MeSH term(s) Humans ; Knowledge ; Likelihood Functions ; Social Behavior ; Social Networking ; Statistics as Topic
    Language English
    Publishing date 2018-04-18
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 2156283-0
    ISSN 1742-5662 ; 1742-5689
    ISSN (online) 1742-5662
    ISSN 1742-5689
    DOI 10.1098/rsif.2018.0130
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Stewardship of global collective behavior

    Bak-Coleman, Joseph B. / Alfano, Mark / Barfuss, Wolfram / Bergstrom, Carl T. / Centeno, Miguel A. / Couzin, Iain D. / Donges, Jonathan F. / Galesic, Mirta / Gersick, Andrew S. / Jacquet, Jennifer / Kao, Albert B. / Moran, Rachel E. / Romanczuk, Pawel / Rubenstein, Daniel I. / Tombak, Kaia J. / Van Bavel, Jay J. / Weber, Elke U.

    Proceedings of the National Academy of Sciences

    2021  Volume 118, Issue , Nr. 27

    Abstract: Collective behavior provides a framework for understanding how the actions and properties of groups emerge from the way individuals generate and share information. In humans, information flows were initially shaped by natural selection yet are ... ...

    Abstract Collective behavior provides a framework for understanding how the actions and properties of groups emerge from the way individuals generate and share information. In humans, information flows were initially shaped by natural selection yet are increasingly structured by emerging communication technologies. Our larger, more complex social networks now transfer high-fidelity information over vast distances at low cost. The digital age and the rise of social media have accelerated changes to our social systems, with poorly understood functional consequences. This gap in our knowledge represents a principal challenge to scientific progress, democracy, and actions to address global crises. We argue that the study of collective behavior must rise to a “crisis discipline” just as medicine, conservation, and climate science have, with a focus on providing actionable insight to policymakers and regulators for the stewardship of social systems.

    publishedVersion
    Keywords Collective behavior ; Complex systems ; Computational social science ; Social media ; 000 ; 500
    Subject code 306
    Language English
    Publisher Washington, DC : National Acad. of Sciences
    Publishing country de
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  8. Article ; Online: Stewardship of global collective behavior

    Bak-Coleman, Joseph B. / Alfano, Mark / Barfuss, Wolfram / Bergstrom, Carl T. / Centeno, Miguel A. / Couzin, Iain D. / Donges, Jonathan F. / Galesic, Mirta / Gersick, Andrew S. / Jacquet, Jennifer / Kao, Albert B. / Moran, Rachel E. / Romanczuk, Pawel / Rubenstein, Daniel I. / Tombak, Kaia J. / Van Bavel, Jay J. / Weber, Elke U.

    Proceedings of the National Academy of Sciences

    2021  Volume 118, Issue , Nr. 27

    Abstract: Collective behavior provides a framework for understanding how the actions and properties of groups emerge from the way individuals generate and share information. In humans, information flows were initially shaped by natural selection yet are ... ...

    Abstract Collective behavior provides a framework for understanding how the actions and properties of groups emerge from the way individuals generate and share information. In humans, information flows were initially shaped by natural selection yet are increasingly structured by emerging communication technologies. Our larger, more complex social networks now transfer high-fidelity information over vast distances at low cost. The digital age and the rise of social media have accelerated changes to our social systems, with poorly understood functional consequences. This gap in our knowledge represents a principal challenge to scientific progress, democracy, and actions to address global crises. We argue that the study of collective behavior must rise to a “crisis discipline” just as medicine, conservation, and climate science have, with a focus on providing actionable insight to policymakers and regulators for the stewardship of social systems.

    publishedVersion
    Keywords Collective behavior ; Complex systems ; Computational social science ; Social media ; 000 ; 500
    Subject code 306
    Language English
    Publisher Washington, DC : National Acad. of Sciences
    Publishing country de
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  9. Article ; Online: Stewardship of global collective behavior

    Bak-Coleman, Joseph B. / Alfano, Mark / Barfuss, Wolfram / Bergstrom, Carl T. / Centeno, Miguel A. / Couzin, Iain D. / Donges, Jonathan F. / Galesic, Mirta / Gersick, Andrew S. / Jacquet, Jennifer / Kao, Albert B. / Moran, Rachel E. / Romanczuk, Pawel / Rubenstein, Daniel I. / Tombak, Kaia J. / Van Bavel, Jay J. / Weber, Elke U.

    Proceedings of the National Academy of Sciences

    2021  Volume 118, Issue , Nr. 27

    Abstract: Collective behavior provides a framework for understanding how the actions and properties of groups emerge from the way individuals generate and share information. In humans, information flows were initially shaped by natural selection yet are ... ...

    Abstract Collective behavior provides a framework for understanding how the actions and properties of groups emerge from the way individuals generate and share information. In humans, information flows were initially shaped by natural selection yet are increasingly structured by emerging communication technologies. Our larger, more complex social networks now transfer high-fidelity information over vast distances at low cost. The digital age and the rise of social media have accelerated changes to our social systems, with poorly understood functional consequences. This gap in our knowledge represents a principal challenge to scientific progress, democracy, and actions to address global crises. We argue that the study of collective behavior must rise to a “crisis discipline” just as medicine, conservation, and climate science have, with a focus on providing actionable insight to policymakers and regulators for the stewardship of social systems.

    publishedVersion
    Keywords Collective behavior ; Complex systems ; Computational social science ; Social media ; 000 ; 500
    Subject code 306
    Language English
    Publisher Washington, DC : National Acad. of Sciences
    Publishing country de
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  10. Article ; Online: Stewardship of global collective behavior

    Bak-Coleman, Joseph B. / Alfano, Mark / Barfuss, Wolfram / Bergstrom, Carl T. / Centeno, Miguel A. / Couzin, Iain D. / Donges, Jonathan F. / Galesic, Mirta / Gersick, Andrew S. / Jacquet, Jennifer / Kao, Albert B. / Moran, Rachel E. / Romanczuk, Pawel / Rubenstein, Daniel I. / Tombak, Kaia J. / Van Bavel, Jay J. / Weber, Elke U.

    Proceedings of the National Academy of Sciences

    2021  Volume 118, Issue , Nr. 27

    Abstract: Collective behavior provides a framework for understanding how the actions and properties of groups emerge from the way individuals generate and share information. In humans, information flows were initially shaped by natural selection yet are ... ...

    Abstract Collective behavior provides a framework for understanding how the actions and properties of groups emerge from the way individuals generate and share information. In humans, information flows were initially shaped by natural selection yet are increasingly structured by emerging communication technologies. Our larger, more complex social networks now transfer high-fidelity information over vast distances at low cost. The digital age and the rise of social media have accelerated changes to our social systems, with poorly understood functional consequences. This gap in our knowledge represents a principal challenge to scientific progress, democracy, and actions to address global crises. We argue that the study of collective behavior must rise to a “crisis discipline” just as medicine, conservation, and climate science have, with a focus on providing actionable insight to policymakers and regulators for the stewardship of social systems.

    publishedVersion
    Keywords Collective behavior ; Complex systems ; Computational social science ; Social media ; 000 ; 500
    Subject code 306
    Language English
    Publisher Washington, DC : National Acad. of Sciences
    Publishing country de
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

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