Publications by authors named "Maja Graso"

Article Synopsis
  • The text discusses how, despite well-known disadvantages women face, there are situations where men also experience disparities.
  • It highlights that perceptions of harm towards women are often viewed as more severe than similar harm towards men, which may stem from evolutionary, cultural, or societal biases.
  • The authors aim to create a more balanced understanding of gender biases by recognizing the unique challenges both genders face, ultimately promoting empathy and reducing conflict.
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Individuals unvaccinated against COVID-19 (C19) experienced prejudice and blame for the pandemic. Because people vastly overestimate C19 risks, we examined whether these negative judgements could be partially understood as a form of scapegoating (ie, blaming a group unfairly for an undesirable outcome) and whether political ideology (previously shown to shape risk perceptions in the USA) moderates scapegoating of the unvaccinated. We grounded our analyses in scapegoating literature and risk perception during C19.

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Two preregistered studies from two different platforms with representative U.S. adult samples ( = 1,865) tested the harm-hypervigilance hypothesis in risk assessments of controversial behavioral science.

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Scientific and organizational interventions often involve trade-offs whereby they benefit some but entail costs to others (i.e., instrumental harm; IH).

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We examined how observers assess information-poor allegations of harm (e.g., "my word against yours" cases), in which the outcomes of procedurally fair investigations may favor the alleged perpetrator because the evidentiary standards are unmet.

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Over the coming years, AI could increasingly replace humans for making complex decisions because of the promise it holds for standardizing and debiasing decision-making procedures. Despite intense debates regarding algorithmic fairness, little research has examined how laypeople react when resource-allocation decisions are turned over to AI. We address this question by examining the role of perceived impartiality as a factor that can influence the acceptance of AI as a replacement for human decision-makers.

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I test the possibility that over-estimating negative consequences of COVID-19 (e.g., hospitalizations, deaths, and threats to children) will be associated with stronger support the 'new normal' (i.

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We draw from an interdisciplinary literature on convictions to examine the manifestations and consequences of firmly held beliefs in Covid-19 (C19) science. Across three studies ( = 743), we assess participants' beliefs in C19 experts, and beliefs in supported and unsupported empirical evidence. Study 1 establishes the basic theoretical links and we show that an individual's belief in science on C19 is associated with dispositional belief in science and moralization of C19 mitigation measures.

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We hypothesized that because Covid-19 (C19) remains an urgent and visible threat, efforts to combat its negative health consequences have become moralized. This moralization of health-based efforts may generate asymmetries in judgement, whereby harmful by-products of those efforts (i.e.

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Introduction: Job insecurity has been repeatedly linked with poor employee health and safety outcomes. Although research on high quality leader-member exchange (LMX) has demonstrated many beneficial effects, no research to date has examined the extent to which positive LMX might attenuate those adverse health and safety-related consequences of job insecurity. The current study extends research in this area by specifically examining the buffering impact of LMX on the relationship between job insecurity and safety knowledge, reported accidents, and physical health conditions.

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Each year, more than 4 million U.S. workers are injured on the job - several thousand die (Bureau of Labor Statistics, 2008).

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Background: Compliance with safety behaviors is often associated with longer term benefits, but may require some short-term sacrifices. This study examines the extent to which consideration of future safety consequences (CFSC) predicts employee safety outcomes.

Methods: Two field studies were conducted to evaluate the reliability and validity of the newly developed Consideration of Future Safety Consequences (CFSC) scale.

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