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Great new paper examining the factors that predict endorsement of conspiracy theories. Though the authors (diplomatically) downplay the finding, their evidence suggests that conspiratorial thinking is greater among conservatives/the political right (see plot) https://www. nature.com/articles/s41598-022-25617-0

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Great new paper examining the factors that predict endorsement of conspiracy theories. Though the authors (diplomatically) downplay the finding, their evidence suggests that conspiratorial thinking is greater among conservatives/the political right (see plot) https://www. nature.com/articles/s41598-022-25617-0

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New in PNAS Nexus: Social media posts using moral language are more likely to receive hate-speech replies. Each additional moral word increases the likelihood of a hateful reply by up to 20.6%. Biggest hate effect from right-wingers toward leftist activists https://academic.oup.com/pnasnexus/adv ance-article/doi/10.1093/pnasnexus/pgac281/6881737

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New in PNAS Nexus: Social media posts using moral language are more likely to receive hate-speech replies. Each additional moral word increases the likelihood of a hateful reply by up to 20.6%. Biggest hate effect from right-wingers toward leftist activists https://academic.oup.com/pnasnexus/adv ance-article/doi/10.1093/pnasnexus/pgac281/6881737

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Democracies often don’t represent the will of the people. But is this because politicians don’t care what we want? Or simply don’t know? New work suggests the latter: Across 4 nations, politicians are strikingly inaccurate in estimating citizens’ views https://www. journals.uchicago.edu/doi/abs/10.1086/722042

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Democracies often don’t represent the will of the people. But is this because politicians don’t care what we want? Or simply don’t know? New work suggests the latter: Across 4 nations, politicians are strikingly inaccurate in estimating citizens’ views https://www. journals.uchicago.edu/doi/abs/10.1086/722042

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Want to learn how to identify influencers in your social media data? Here’s a great step-by-step guide:
https://towardsdatascience.com/identif ying-influencers-on-social-media-a-guide-to-social-network-analysis-using-python-e05f4da151b8

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Want to learn how to identify influencers in your social media data? Here’s a great step-by-step guide:
https://towardsdatascience.com/identif ying-influencers-on-social-media-a-guide-to-social-network-analysis-using-python-e05f4da151b8

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New work in Psychophysiology shows “cognitive conflict”—when two compelling-but-incompatible response options exist in a situation—is not only aversive, it’s effortful too: Conflict elicited through, e.g, the Stroop task evokes heightened cardiac response https://onlinelibrary.wiley.com/doi/fu ll/10.1111/psyp.14169

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New work in Psychophysiology shows “cognitive conflict”—when two compelling-but-incompatible response options exist in a situation—is not only aversive, it’s effortful too: Conflict elicited through, e.g, the Stroop task evokes heightened cardiac response https://onlinelibrary.wiley.com/doi/fu ll/10.1111/psyp.14169

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To many (myself included), AI art seems morally unobjectionable. But consider: these algorithms are fed by work from already-struggling artists who spent years mastering their craft—and now risk losing their livelihoods to the AIs they unwittingly “taught” https://towardsdatascience.com/on-ai-a rt-531a4506c518

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To many (myself included), AI art seems morally unobjectionable. But consider: these algorithms are fed by work from already-struggling artists who spent years mastering their craft—and now risk losing their livelihoods to the AIs they unwittingly “taught” https://towardsdatascience.com/on-ai-a rt-531a4506c518

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New in PNAS: 3-year-olds have no concept of “might”—rather, they build overly specific, all-or-nothing models of situations. This explains why (as my own son demonstrates) they make “surprisingly unwise decisions in the face of multiple possibilities” https://www. pnas.org/doi/10.1073/pnas.2207 499119

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New in PNAS: 3-year-olds have no concept of “might”—rather, they build overly specific, all-or-nothing models of situations. This explains why (as my own son demonstrates) they make “surprisingly unwise decisions in the face of multiple possibilities” https://www. pnas.org/doi/10.1073/pnas.2207 499119

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Artificial Intelligence Prediction for 2023: We will start running out of data to train large language models like ChatGPT. Like oil, data is “finite and at risk of being exhausted.” https://www. forbes.com/sites/robtoews/2022/12/20/10-ai-predictions-for-2023/

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Artificial Intelligence Prediction for 2023: We will start running out of data to train large language models like ChatGPT. Like oil, data is “finite and at risk of being exhausted.” https://www. forbes.com/sites/robtoews/2022/12/20/10-ai-predictions-for-2023/

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People avoid discussing political issues because they overestimate the discomfort these conversations will bring. Leading them to have these conversations anyway reduces expected discomfort and increases willingness to have tough discussions in the future https://journals.sagepub.com/doi/abs/1 0.1177/19485506221143593

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People avoid discussing political issues because they overestimate the discomfort these conversations will bring. Leading them to have these conversations anyway reduces expected discomfort and increases willingness to have tough discussions in the future https://journals.sagepub.com/doi/abs/1 0.1177/19485506221143593

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Wax is expensive: bees must consume eight pounds of honey for a pound of it. That’s why their combs are typically hexagonal: best wax-to-strength ratio. BUT they also create far more complex structures when environment dictates—incredible problem solvers! https://www. pnas.org/post/podcast/honeybee s-natures-puzzle-solvers

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Wax is expensive: bees must consume eight pounds of honey for a pound of it. That’s why their combs are typically hexagonal: best wax-to-strength ratio. BUT they also create far more complex structures when environment dictates—incredible problem solvers! https://www. pnas.org/post/podcast/honeybee s-natures-puzzle-solvers

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systemic racism emerges even in services as seemingly “mundane” as snow clearing. As a result, snowstorms kill more people of color
https://www. washingtonpost.com/weather/202 2/12/29/buffalo-blizzard-storm-race-class/

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systemic racism emerges even in services as seemingly “mundane” as snow clearing. As a result, snowstorms kill more people of color
https://www. washingtonpost.com/weather/202 2/12/29/buffalo-blizzard-storm-race-class/

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elon’s tweets cost him the annual GDP of Greece https://www. independent.co.uk/tech/elon-mu sk-net-worth-2022-chart-b2252991.html

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elon’s tweets cost him the annual GDP of Greece https://www. independent.co.uk/tech/elon-mu sk-net-worth-2022-chart-b2252991.html

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Compelling new piece in PNAS argues that even handwriting examiners working under (next-to-impossible) ideal conditions may wrongly implicate innocent people 1 out of 11 times
https://www. pnas.org/doi/10.1073/pnas.2215 695119

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Compelling new piece in PNAS argues that even handwriting examiners working under (next-to-impossible) ideal conditions may wrongly implicate innocent people 1 out of 11 times
https://www. pnas.org/doi/10.1073/pnas.2215 695119

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Conspiracy theorists eschew social norms — from talking during movies to chewing with their mouths open — but encouraging them to reflect on the REASONS WHY humans perform these behaviors undercuts this counternormative streak.
https://journals.sagepub.com/doi/full/10.1177/19485506221144150

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Conspiracy theorists eschew social norms — from talking during movies to chewing with their mouths open — but encouraging them to reflect on the REASONS WHY humans perform these behaviors undercuts this counternormative streak.
https://journals.sagepub.com/doi/full/10.1177/19485506221144150

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New in PNAS: Americans substantially overestimate the representation of minoritized groups in policing, believing the police force is far more diverse than it truly is. Correcting these misbeliefs increases support for diversification reforms.
https://www. pnas.org/doi/10.1073/pnas.2213 986119

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New in PNAS: Americans substantially overestimate the representation of minoritized groups in policing, believing the police force is far more diverse than it truly is. Correcting these misbeliefs increases support for diversification reforms.
https://www. pnas.org/doi/10.1073/pnas.2213 986119

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“Dark methods” — small-yet-critical experimental design decisions that remain hidden from readers — may explain upwards of 80% of the variance in research findings.
https://www. pnas.org/doi/10.1073/pnas.2216 020119

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“Dark methods” — small-yet-critical experimental design decisions that remain hidden from readers — may explain upwards of 80% of the variance in research findings.
https://www. pnas.org/doi/10.1073/pnas.2216 020119