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    Inequality in small-scale societies

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    In spite of the relevance and wide cross-country variability of economic inequality, we have surprisingly little knowledge of the psychological foundations of individuals' tolerance towards inequality. The general goal of this project is to investigate this topic in small-scale societies. These societies offer an ideal setting to study psychological attitudes and social norms in environments that are reminiscents of ancient human societies. We aim to shed light on three main theories that have been proposed to explain how individuals deal with inequality

    Insensitivity to truth-value in negated sentences: does linear distance matter?

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    This project contains the data, analysis script and materials for the article named as abov

    dataset1

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    This project includes the raw data and Python code generated during a study of Chinese color terms hei 'black' and bai 'white'

    Reducing Misinformation When Motivated to Consume: Experimental Evidence from Côte d’Ivoire

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    Misinformation has deleterious and potentially destabilizing effects on democracy. As a result, scholars and practitioners alike are investigating strategies to reduce the belief in and dissemination of misinformation. A common strategy, particularly among practitioners, are digital literacy interventions to increase individual capacity to identify misinformation online. This, we argue, ignores identity-based motivations to consume biased media. We offer a theoretical framework that highlights the limitations of strategies that ignore individuals' directional motives. We propose three interventions that leverage insights on how social identity shapes behavior, and test each with an information experiment in Côte d’Ivoire, a polarized country. We find that a standard digital literacy intervention fails to curb the belief in and spread of misinformation, while our social-identity based interventions reduced both. Our findings confirm that misinformation spreads at least in part because individuals are motivated to consume biased media, and caution against strategies that ignore these directional motives

    Perceived Economic Contributions Increase Positivity toward Undocumented Immigrants

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    Undocumented immigrants contribute to the US economy by participating in the labor force, paying taxes, and starting businesses. They do so under constant fear of deportation and while being barred from government assistance programs. Nevertheless, misconceptions about how undocumented immigrants affect the job market and public finance persist, exacerbating animus and hindering policy reforms. Across three survey experiments and three national samples of Americans, I assess two informational interventions for shifting views toward this marginalized group: facts and narratives. Both yield positive effects across partisan lines, although anecdotal accounts of "hard-working" immigrants are most effective among negatively predisposed individuals. Information in individual narrative form proves more convincing than facts alone, which has important implications for scholars, advocates, and practitioners alike

    Emotional Style and Personality: A Latent Profile Analysis

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    We performed a latent profile analysis to understand how groupings of personality variables, emotional health, and suicide risk cluster together

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