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  1. Article ; Online: Updating the identity-based model of belief: From false belief to the spread of misinformation.

    Van Bavel, Jay J / Rathje, Steve / Vlasceanu, Madalina / Pretus, Clara

    Current opinion in psychology

    2024  Volume 56, Page(s) 101787

    Abstract: The spread of misinformation threatens democratic societies, hampering informed decision-making. Partisan identity biases perceptions of reality, promoting false beliefs. The Identity-based Model of Political Belief explains how social identity shapes ... ...

    Abstract The spread of misinformation threatens democratic societies, hampering informed decision-making. Partisan identity biases perceptions of reality, promoting false beliefs. The Identity-based Model of Political Belief explains how social identity shapes information processing and contributes to misinformation. According to this model, social identity goals can override accuracy goals, leading to belief alignment with party members rather than facts. We propose an extended version of this model that incorporates the role of informational context in misinformation belief and sharing. Partisanship involves cognitive and motivational aspects that shape party members' beliefs and actions. This includes whether they seek further evidence, where they seek that evidence, and which sources they trust. Understanding the interplay between social identity and accuracy is crucial in addressing misinformation.
    MeSH term(s) Humans ; Cognition ; Motivation ; Social Identification ; Trust
    Language English
    Publishing date 2024-01-09
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 2831565-0
    ISSN 2352-2518 ; 2352-250X ; 2352-250X
    ISSN (online) 2352-2518 ; 2352-250X
    ISSN 2352-250X
    DOI 10.1016/j.copsyc.2023.101787
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: On the Efficacy of Accuracy Prompts Across Partisan Lines: An Adversarial Collaboration.

    Martel, Cameron / Rathje, Steve / Clark, Cory J / Pennycook, Gordon / Van Bavel, Jay J / Rand, David G / van der Linden, Sander

    Psychological science

    2024  Volume 35, Issue 4, Page(s) 435–450

    Abstract: The spread of misinformation is a pressing societal challenge. Prior work shows that shifting attention to accuracy increases the quality of people's news-sharing decisions. However, researchers disagree on whether accuracy-prompt interventions work for ... ...

    Abstract The spread of misinformation is a pressing societal challenge. Prior work shows that shifting attention to accuracy increases the quality of people's news-sharing decisions. However, researchers disagree on whether accuracy-prompt interventions work for U.S. Republicans/conservatives and whether partisanship moderates the effect. In this preregistered adversarial collaboration, we tested this question using a multiverse meta-analysis (
    MeSH term(s) Humans ; Politics
    Language English
    Publishing date 2024-03-20
    Publishing country United States
    Document type Meta-Analysis ; Journal Article
    ZDB-ID 2022256-7
    ISSN 1467-9280 ; 0956-7976
    ISSN (online) 1467-9280
    ISSN 0956-7976
    DOI 10.1177/09567976241232905
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: People Think That Social Media Platforms Do (but Should Not) Amplify Divisive Content.

    Rathje, Steve / Robertson, Claire / Brady, William J / Van Bavel, Jay J

    Perspectives on psychological science : a journal of the Association for Psychological Science

    2023  , Page(s) 17456916231190392

    Abstract: Recent studies have documented the type of content that is most likely to spread widely, or go "viral," on social media, yet little is known about people's perceptions of what goes viral or what should go viral. This is critical to understand because ... ...

    Abstract Recent studies have documented the type of content that is most likely to spread widely, or go "viral," on social media, yet little is known about people's perceptions of what goes viral or what should go viral. This is critical to understand because there is widespread debate about how to improve or regulate social media algorithms. We recruited a sample of participants that is nationally representative of the U.S. population (according to age, gender, and race/ethnicity) and surveyed them about their perceptions of social media virality (
    Language English
    Publishing date 2023-09-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2224911-4
    ISSN 1745-6924 ; 1745-6916
    ISSN (online) 1745-6924
    ISSN 1745-6916
    DOI 10.1177/17456916231190392
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Troll and divide: the language of online polarization.

    Simchon, Almog / Brady, William J / Van Bavel, Jay J

    PNAS nexus

    2022  Volume 1, Issue 1, Page(s) pgac019

    Abstract: The affective animosity between the political left and right has grown steadily in many countries over the past few years, posing a threat to democratic practices and public health. There is a rising concern over the role that "bad actors" or trolls may ... ...

    Abstract The affective animosity between the political left and right has grown steadily in many countries over the past few years, posing a threat to democratic practices and public health. There is a rising concern over the role that "bad actors" or trolls may play in the polarization of online networks. In this research, we examined the processes by which trolls may sow intergroup conflict through polarized rhetoric. We developed a dictionary to assess online polarization by measuring language associated with communications that display partisan bias in their diffusion. We validated the polarized language dictionary in 4 different contexts and across multiple time periods. The polarization dictionary made out-of-set predictions, generalized to both new political contexts (#BlackLivesMatter) and a different social media platform (Reddit), and predicted partisan differences in public opinion polls about COVID-19. Then we analyzed tweets from a known Russian troll source (
    Language English
    Publishing date 2022-03-10
    Publishing country England
    Document type Journal Article
    ISSN 2752-6542
    ISSN (online) 2752-6542
    DOI 10.1093/pnasnexus/pgac019
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Accuracy and social motivations shape judgements of (mis)information.

    Rathje, Steve / Roozenbeek, Jon / Van Bavel, Jay J / van der Linden, Sander

    Nature human behaviour

    2023  Volume 7, Issue 6, Page(s) 892–903

    Abstract: The extent to which belief in (mis)information reflects lack of knowledge versus a lack of motivation to be accurate is unclear. Here, across four experiments (n = 3,364), we motivated US participants to be accurate by providing financial incentives for ... ...

    Abstract The extent to which belief in (mis)information reflects lack of knowledge versus a lack of motivation to be accurate is unclear. Here, across four experiments (n = 3,364), we motivated US participants to be accurate by providing financial incentives for correct responses about the veracity of true and false political news headlines. Financial incentives improved accuracy and reduced partisan bias in judgements of headlines by about 30%, primarily by increasing the perceived accuracy of true news from the opposing party (d = 0.47). Incentivizing people to identify news that would be liked by their political allies, however, decreased accuracy. Replicating prior work, conservatives were less accurate at discerning true from false headlines than liberals, yet incentives closed the gap in accuracy between conservatives and liberals by 52%. A non-financial accuracy motivation intervention was also effective, suggesting that motivation-based interventions are scalable. Altogether, these results suggest that a substantial portion of people's judgements of the accuracy of news reflects motivational factors.
    MeSH term(s) Humans ; Motivation ; Judgment ; Emotions
    Language English
    Publishing date 2023-03-06
    Publishing country England
    Document type Journal Article
    ISSN 2397-3374
    ISSN (online) 2397-3374
    DOI 10.1038/s41562-023-01540-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: The Best-Case Heuristic: Relative Optimism in Relationships, Politics, and a Global Health Pandemic.

    Sjåstad, Hallgeir / Van Bavel, Jay

    Personality & social psychology bulletin

    2023  , Page(s) 1461672231191360

    Abstract: In four experiments covering three different life domains, participants made future predictions in what they considered the most realistic scenario, an optimistic best-case scenario, or a pessimistic worst-case scenario ( ...

    Abstract In four experiments covering three different life domains, participants made future predictions in what they considered the most realistic scenario, an optimistic best-case scenario, or a pessimistic worst-case scenario (
    Language English
    Publishing date 2023-09-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2047603-6
    ISSN 1552-7433 ; 0146-1672
    ISSN (online) 1552-7433
    ISSN 0146-1672
    DOI 10.1177/01461672231191360
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: The

    Pretus, Clara / Javeed, Ali M / Hughes, Diána / Hackenburg, Kobi / Tsakiris, Manos / Vilarroya, Oscar / Van Bavel, Jay J

    Philosophical transactions of the Royal Society of London. Series B, Biological sciences

    2024  Volume 379, Issue 1897, Page(s) 20230040

    Abstract: Interventions to counter misinformation are often less effective for polarizing content on social media platforms. We sought to overcome this limitation by testing an identity-based intervention, which aims to promote accuracy by incorporating normative ... ...

    Abstract Interventions to counter misinformation are often less effective for polarizing content on social media platforms. We sought to overcome this limitation by testing an identity-based intervention, which aims to promote accuracy by incorporating normative cues directly into the social media user interface. Across three pre-registered experiments in the US (
    MeSH term(s) Humans ; Cues ; Judgment ; Probability ; Social Norms ; Communication
    Language English
    Publishing date 2024-01-22
    Publishing country England
    Document type Journal Article
    ZDB-ID 208382-6
    ISSN 1471-2970 ; 0080-4622 ; 0264-3839 ; 0962-8436
    ISSN (online) 1471-2970
    ISSN 0080-4622 ; 0264-3839 ; 0962-8436
    DOI 10.1098/rstb.2023.0040
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: My lab group met to chart our response to COVID-19. Here’s what we learned

    Van Bavel, Jay J.

    Science ; ISSN 0036-8075 1095-9203

    2020  

    Keywords Multidisciplinary ; covid19
    Publisher American Association for the Advancement of Science (AAAS)
    Publishing country us
    Document type Article ; Online
    DOI 10.1126/science.caredit.abb7873
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Political and nonpolitical belief change elicits behavioral change.

    Vlasceanu, Madalina / McMahon, Casey E / Van Bavel, Jay J / Coman, Alin

    Journal of experimental psychology. Applied

    2023  Volume 29, Issue 3, Page(s) 467–476

    Abstract: Beliefs have long been theorized to predict behaviors and thus have been the target of many interventions aimed at changing false beliefs in the population. But does changing beliefs translate into predictable changes in behaviors? Here, we investigated ... ...

    Abstract Beliefs have long been theorized to predict behaviors and thus have been the target of many interventions aimed at changing false beliefs in the population. But does changing beliefs translate into predictable changes in behaviors? Here, we investigated the impact of belief change on behavioral change across two experiments (
    MeSH term(s) Humans ; Politics ; Health Behavior
    Language English
    Publishing date 2023-03-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2103149-6
    ISSN 1939-2192 ; 1076-898X
    ISSN (online) 1939-2192
    ISSN 1076-898X
    DOI 10.1037/xap0000455
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Social Media and Morality.

    Van Bavel, Jay J / Robertson, Claire E / Del Rosario, Kareena / Rasmussen, Jesper / Rathje, Steve

    Annual review of psychology

    2023  Volume 75, Page(s) 311–340

    Abstract: Nearly five billion people around the world now use social media, and this number continues to grow. One of the primary goals of social media platforms is to capture and monetize human attention. One means by which individuals and groups can capture ... ...

    Abstract Nearly five billion people around the world now use social media, and this number continues to grow. One of the primary goals of social media platforms is to capture and monetize human attention. One means by which individuals and groups can capture attention and drive engagement on these platforms is by sharing morally and emotionally evocative content. We review a growing body of research on the interrelationship of social media and morality as well its consequences for individuals and society. Moral content often goes viral on social media, and social media makes moral behavior (such as punishment) less costly. Thus, social media often acts as an accelerant for existing moral dynamics, amplifying outrage, status seeking, and intergroup conflict while also potentially amplifying more constructive facets of morality, such as social support, prosociality, and collective action. We discuss trends, heated debates, and future directions in this emerging literature.
    MeSH term(s) Humans ; Social Media ; Morals ; Punishment ; Social Support
    Language English
    Publishing date 2023-10-31
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 207937-9
    ISSN 1545-2085 ; 0066-4308 ; 0547-1567
    ISSN (online) 1545-2085
    ISSN 0066-4308 ; 0547-1567
    DOI 10.1146/annurev-psych-022123-110258
    Database MEDical Literature Analysis and Retrieval System OnLINE

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