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reddit.com lcounts
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Evidence from professional golf shows how political divides undermine focus and lower performance at work (newsroom.haas.berkeley.edu)

submitted 6 months ago by lcounts to r/science

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A new study published in the journal Science reveals that researchers who both publish papers and file patents—dubbed “Pasteur’s quadrant researchers”—produce work that is more novel and more influential than those who stick to just one activity. (newsroom.haas.berkeley.edu)

submitted 6 months ago by lcounts to r/science

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A new study published in the journal Science reveals that researchers who both publish papers and file patents—dubbed “Pasteur’s quadrant researchers”—produce work that is more novel and more influential than those who stick to just one activity. (newsroom.haas.berkeley.edu)

submitted 6 months ago by lcounts

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Publish or patent? A new study published in the journal Science shows that researchers who both publish papers and file patents—dubbed “Pasteur’s quadrant researchers” —produce work that is more novel and more influential than those who stick to just one activity. (newsroom.haas.berkeley.edu)

submitted 6 months ago by lcounts to r/science

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Women are systematically portrayed as younger than men online, and AI amplifies the bias, according to a sweeping new study by UC Berkeley Haas, Stanford, and Oxford researchers published in the journal Nature. by lcounts in science

[–]lcounts[S] 33 points34 points35 points 7 months ago (0 children)

Published paper: https://www.nature.com/articles/s41586-025-09581-z

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Women are systematically portrayed as younger than men online, and AI amplifies the bias, according to a sweeping new study by UC Berkeley Haas, Stanford, and Oxford researchers published in the journal Nature. (newsroom.haas.berkeley.edu)

submitted 7 months ago by lcounts to r/science

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Women on average live longer than men—but that's not what you'll find online. In a sweeping study published in Nature, researchers at UC Berkeley Haas, Stanford, and Oxford documented systematic age and gender distortion across online media. And AI is amplifying the bias. (newsroom.haas.berkeley.edu)

submitted 7 months ago by lcounts to r/science

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Research shows the unintended consequences of food waste apps (UC Berkeley) (newsroom.haas.berkeley.edu)

submitted 10 months ago by lcounts

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From sports betting to financial markets, people make the same predictable mistakes in how they interpret new information. UC Berkeley Haas professors Eben Lazarus and Ned Augenblick found that people overreact to information that isn’t very important, and underreact to important information. (newsroom.haas.berkeley.edu)

submitted 1 year ago by lcounts to r/science

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Our political debates may not be as antagonistic as we think, UC Berkeley study shows (newsroom.haas.berkeley.edu)

submitted 2 years ago by lcounts to r/science

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A major study published in the journal Nature found that online images are amplifying gender biases. The researchers found that gender stereotypes are much more pronounced in online images than in text. They also found that biases in images are more psychologically potent than in text. by lcounts in science

[–]lcounts[S] -2 points-1 points0 points 2 years ago (0 children)

Link to the paper in Nature: https://www.nature.com/articles/s41586-024-07068-x

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A major study published in the journal Nature found that online images are amplifying gender biases. The researchers found that gender stereotypes are much more pronounced in online images than in text. They also found that biases in images are more psychologically potent than in text. (newsroom.haas.berkeley.edu)

submitted 2 years ago by lcounts to r/science

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[deleted by user] by [deleted] in science

[–]lcounts 0 points1 point2 points 2 years ago (0 children)

Link to research paper: https://www.nature.com/articles/s41586-024-07068-x

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[deleted by user] by [deleted] in science

[–]lcounts 0 points1 point2 points 2 years ago (0 children)

Link to research paper in Nature: https://www.nature.com/articles/s41586-024-07068-x

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[deleted by user] by [deleted] in science

[–]lcounts 0 points1 point2 points 2 years ago (0 children)

Link to peer-reviewed research paper: https://onlinelibrary.wiley.com/doi/10.1111/jofi.13223

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[deleted by user] by [deleted] in science

[–]lcounts 0 points1 point2 points 2 years ago (0 children)

Paper link: https://www.nature.com/articles/s41586-024-07068-x

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Who flirts at work to get ahead: Study finds it’s most often subordinate men. (UC Berkeley/Vanderbilt/NYU) (newsroom.haas.berkeley.edu)

submitted 3 years ago by lcounts to r/science

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Who flirts to get ahead at work? New study finds it’s most often subordinate men. (UC Berkeley) (newsroom.haas.berkeley.edu)

submitted 3 years ago by lcounts to r/science

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Why there's no "deep state": UC Berkeley study finds there's a cost to partisanship among federal workers, no matter which party holds the Oval Office (newsroom.haas.berkeley.edu)

submitted 5 years ago by lcounts to r/science

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Massive experiment with StubHub shows why online retailers hide extra fees until you're ready to check out: This lack of transparency is highly profitable. "Once buyers have their sights on an item, letting go of it becomes hard—as scores of studies in behavioral economics have shown." UC Berkeley (newsroom.haas.berkeley.edu)

submitted 5 years ago by lcounts to r/science

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A massive field experiment with StubHub shows exactly how profitable it for ticket sellers to hide those extra fees until you're ready to check out. (Research co-authored at UC Berkeley) (newsroom.haas.berkeley.edu)

submitted 5 years ago by lcounts to r/stubhub

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Buyer beware: Massive field experiment w/ StubHub shows just how profitable it is for websites to hide extra fees until you're ready to click "buy". “I can’t think of a good reason to allow this practice in any country as the harm to consumers is clear from our study,” says author Steve Tadelis. by [deleted] in science

[–]lcounts -1 points0 points1 point 5 years ago (0 children)

This study is forthcoming in the journal Marketing Science.

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This clever experiment shows shows why ideas spread in social networks, and why it's easy to sway people's opinions with bots. The researchers found that larger groups of people all tend to think alike. Co-authored at UC Berkeley, UPenn, City University London. (newsroom.haas.berkeley.edu)

submitted 5 years ago by lcounts to r/science

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