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When Persuading a Group, Beware the Allure of Consensus
We tend to favor strategies that win broad-but-weak support over narrow-but-strong support—and this preference can lead us astray.
We tend to favor strategies that win broad-but-weak support over narrow-but-strong support—and this preference can lead us astray.
For tools that assist but don’t replace workers, novices benefit, while experienced employees take a hit.
Online political debate isn’t inherently toxic, a new study of Reddit commenters finds. Instead, it becomes toxic because of the kind of commenters who opt in.
You want a good price, but you don’t want lousy workmanship. What’s a buyer to do?
How can governments capitalize on AI’s benefits while minimizing its dangers? New research examines several policies—and identifies a promising approach.
Machine-learning systems can improve physicians’ accuracy at diagnosing dermatological diseases. But even with AI assistance, physicians struggle to close the accuracy gap between light- and dark-skinned patients.
We are more likely to learn from our collaborators when we are in close proximity to them, a new study finds.
Reporting workplace misconduct often requires choosing between morality and loyalty. New research explores how that trade-off is viewed by others.
Technologies that allowed federal officials to monitor workers from afar played a key role in the emergence of the bureaucratic state.
A new study investigates the reputational rewards of publicly condemning others before getting the whole story.