Publications by authors named "V Capraro"

In recent years, scholars from different fields have studied the effects of scarcity on social behaviour, producing mixed findings. This review synthesizes the most recent literature on the topic and proposes a framework to organize the evidence. According to this framework, scarcity produces an attentional shift towards the scarce resource and a cognitive load that triggers heuristic thinking; this affects social behaviour in various ways, depending on individual and contextual factors, which can be transient (e.

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Dishonest behaviours such as tax evasion impose significant societal costs. Ex ante honesty oaths-commitments to honesty before action-have been proposed as interventions to counteract dishonest behaviour, but the heterogeneity in findings across operationalizations calls their effectiveness into question. We tested 21 honesty oaths (including a baseline oath)-proposed, evaluated and selected by 44 expert researchers-and a no-oath condition in a megastudy involving 21,506 UK and US participants from Prolific.

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In this article, we test and compare several message-based nudges designed to promote civil discourse and reduce the circulation of harmful content such as hate speech. We conducted a large pre-registered experiment ( = 4,081) to measure the effectiveness of seven nudges: making descriptive norms, injunctive norms, or personal norms salient, cooling down negative emotions, stimulating deliberation or empathy, and highlighting reputation. We used an online platform that reproduces a social media newsfeed and presented the nudge as a message when entering the platform.

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Reports an error in "The dual-process approach to human sociality: Meta-analytic evidence for a theory of internalized heuristics for self-preservation" by Valerio Capraro (, Advanced Online Publication, Jan 15, 2024, np). The last entry in the Roch et al. (2000) row in Table 3 should appear instead as load decreases taking.

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Generative artificial intelligence (AI) has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of the potential impacts of generative AI on (mis)information and three information-intensive domains: work, education, and healthcare. Our goal is to highlight how generative AI could worsen existing inequalities while illuminating how AI may help mitigate pervasive social problems.

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