Finally out! 🚀 Check out our open-access review on how generative AI can both exacerbate and ameliorate socioeconomic inequalities in information, work, education, and healthcare. We also discuss policies that could help reduce these inequalities while mitigating harmful

Is AI already impacting the job market? A new paper from me, @erikbryn, and @RuyuChen at @DigEconLab digs into data from ADP. We find some of the ***first large-scale evidence of employment declines for entry-level workers in AI-exposed jobs.*** A thread on our paper:

🚨 New preprint! We think we've found something fascinating about prosociality. One of the big questions in social science is: When, and how, do humans become prosocial? To tell something new, we designed a unique experiment combining three characteristics: 1) We tested a

Fascinating point 👇

https://t.co/2eK8neT2TR

There's been some discussion about whether the expert sample in our consensus paper really reflects all sides of the debate. To clarify our procedure, @jayvanbavel and I have written a post (with edits by @laura_k_globig and @steverathje2) where we take you behind the scenes of

🔥New paper out: we found evidence of an "offender bias". In two eye-tracking and three behavioral experiments, we examined how third parties respond when observing a perpetrator taking money from a victim. We found several results, including: 1) People direct more visual

Have a look at our collaborative review on the Science of honesty. We cover a lot of previous research and provide 66 questions for future research. I hope you’ll find it useful. 👇

@laura_k_globig @ZachMRausch @steverathje2 @AlexandraWorm @ethan_kross @JonHaidt @jayvanbavel @mVranka @RoeeLevyZ @DanMirea4 @sinanasci @richlopez41 @RobertoTruzoli @sobolevmic @SarahCPila @jdhaltigan @Osea82 @brailovskaia @sarah_domoff @LaurenHalePhD @drjthrul

I hope this work inspires similar efforts in other fields facing controversy. Science needs more of this.

This project has taught me many things, but above all, it reinforced one powerful lesson: even on complex and polarized topics, it is possible to find common ground through open deliberation and mutual respect.

A heartfelt thank-you to all contributors. Your dedication and collaborative spirit made this possible.

Overall, the results of this deliberative process and the set of concrete recommendations provided can help guide future research and evidence-informed policy on adolescent technology use. I refer to the full paper and SI for all the details:

6) The evidence for policies like age restrictions and school bans is preliminary.

5) Evidence on social deprivation and relational aggression is limited.

4) Among girls, social media use may be associated with body dissatisfaction, perfectionism, exposure to mental disorders, and risk of sexual harassment and predation.

3) Smartphone and social media use correlate with attention problems and behavioural addiction.

2) Heavy smartphone and social media use can cause sleep problems.

1) Adolescent mental health has declined in several Western countries over the past 20 years.

The experts suggested 1,400 references and produced a consensus statement for each claim. The following conclusions were rated as accurate or somewhat accurate by 92–97% of respondents: