Social judgment is shaped by multiple biases operating simultaneously, but most bias-reduction interventions target only a single social category. In seven preregistered studies (total > 7,000), we investigated whether asking participants to avoid one social bias affected that and other social biases. Participants selected honor society applicants based on academic credentials. Applicants also differed on social categories irrelevant for selection: attractiveness and ingroup status. Participants asked to avoid potential bias in one social category showed small but reliable reductions in bias for that category ( = .095), but showed near-zero bias reduction on the unmentioned social category ( = .006). Asking participants to avoid many possible social biases or alerting them to bias without specifically identifying a category did not consistently reduce bias. The effectiveness of interventions for reducing social biases may be highly specific, perhaps even contingent on explicitly and narrowly identifying the potential source of bias.
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http://dx.doi.org/10.1177/0146167218814003 | DOI Listing |
Acad Emerg Med
January 2025
Department of Emergency and Critical Care Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan.
Background: This study aimed to clarify the appropriate timing for epinephrine administration in adults with out-of-hospital cardiac arrest (OHCA), particularly those cases with nonshockable rhythms, by addressing resuscitation time bias.
Methods: We performed a retrospective observational study utilizing a multicenter OHCA registry involving 95 hospitals in Japan between June 2014 and December 2020. We included patients with OHCA and nonshockable rhythms who received epinephrine during resuscitation.
Sensors (Basel)
January 2025
School of Mathematics, Physics and Computing, University of Southern Queensland, Springfield, QLD 4300, Australia.
Objective: In this paper, we explore the correlation between performance reporting and the development of inclusive AI solutions for biomedical problems. Our study examines the critical aspects of bias and noise in the context of medical decision support, aiming to provide actionable solutions. Contributions: A key contribution of our work is the recognition that measurement processes introduce noise and bias arising from human data interpretation and selection.
View Article and Find Full Text PDFSyst Rev
January 2025
Department of Nursing and Midwifery, Faculty of Health Sciences, Mountains of the Moon University, Fort Portal, Uganda.
Background: HIV-related stigma remains a key barrier to the attainment of the UNAIDS global goal of ending AIDS by 2030. Due to the social and contextual nature of HIV-related stigma, community-based interventions may be more effective in addressing it. In this review, we synthesized evidence on the effectiveness and features of community-based interventions against HIV-related stigma in Sub-Saharan Africa.
View Article and Find Full Text PDFPsychol Rep
January 2025
School of Management, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Individuals' involvement in reactive and proactive online aggression has garnered widespread concern from various societal sectors, marking it as a critical indicator of individual social development. The influencing factors that might exist for both reactive and proactive online aggression have been little explored. Understanding these could help us develop more effective intervention strategies, targeting individuals who exhibit both types of aggression.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Prosthodontics, Faculty of Dentistry, University of the Western Cape, Cape Town, South Africa.
Objective: To explore the interventions for change in oral health behaviour that are effective in improving oral health behaviours in 8 to 18-year-old children during oral health promotion.
Methods: The Joanna Briggs Institute framework of evidence synthesis for conducting a scoping review was implemented for the methodology. Included studies related to the objective, measured clinical or non-clinical outcomes, were in English, 2011-2023, and were experimental, observational or reviews.
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