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Algorithm appreciation: People prefer algorithmic to human judgment
Abstract Even though computational algorithms often outperform human judgment, received wisdom suggests that people may be skeptical of relying on them (Dawes, 1979). Counter to this notion, results
The psychology of climate change communication: a guide for scientists, journalists, educators, political aides, and the interested public
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(Too) optimistic about optimism: the belief that optimism improves performance.
TLDR
People prescribe optimism when they believe it has the opportunity to improve the chance of success-unfortunately, people may be overly optimistic about just how much optimism can do.
Seeker beware: The interpersonal costs of ignoring advice
Abstract Prior advice research has focused on why people rely on (or ignore) advice and its impact on judgment accuracy. We expand the consideration of advice-seeking outcomes by investigating the
Are Social Prediction Errors Universal? Predicting Compliance with a Direct Request across Cultures
Previous research conducted in the United States has demonstrated that help-seekers fail to appreciate the embarrassment and awkwardness (i.e., social costs) targets would experience by saying "no"
Is Overconfidence a Motivated Bias? Experimental Evidence
TLDR
The results suggest motivation’s effect on better-than-average BTA beliefs is driven more by idiosyncratic construals of assessment than by self-enhancing delusion, and suggest that by focusing on vague measures and vague traits, prior research may have exaggerated the role of motivation in overconfidence.
The social transmission of overconfidence.
TLDR
The overconfidence transmission hypothesis, which predicts that individuals calibrate their self-assessments in response to the confidence others display in their social group, is proposed and tested and suggests that social transmission processes may be in part responsible for why local confidence norms emerge in groups, teams, and organizations.
When do people rely on algorithms
TLDR
In eight experiments, this work tested whether aversion to algorithms is as straightforward a story as past work suggests and shed light on the important questions of when people rely on algorithmic advice over advice from people and have implications for the use of algorithms within organizations.
Acting for the Greater Good: Identification with Group Determines Choices in Sequential Contribution Dilemmas
In mixed-motive interactions, defection is the rational and common response to the defection of others. In some cases, however, group members not only cooperate in the face of defection but also
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