Ian Axel Anderson, PhD

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Ian Axel Anderson, PhD

Ian Axel Anderson, PhD

@aanixel

Will only be on this site sporadically to share research papers. Find me on b***sky. Behavioral Scientist, studying tech habits @Caltech he/they 🏳️‍🌈.

Los Angeles, CA Katılım Haziran 2011
3K Takip Edilen1.8K Takipçiler
Ian Axel Anderson, PhD
Ian Axel Anderson, PhD@aanixel·
@jayvanbavel Curious also if the snowball-style sampling procedure had an impact here (baseline survey might be informative?), as I would guess people who were having issues with social media use might be more likely to join the study (though maybe also those who enjoy it?).
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Jay Van Bavel, PhD
Jay Van Bavel, PhD@jayvanbavel·
A caveat: this data is longitudinal/correlational. The ideal study to examine causation would be a large RCT that manipulates social media usage as a registered report. We are running that study now in 23 countries and I'll share the results here once we have them. globalsocialmediastudy.com
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Jay Van Bavel, PhD
Jay Van Bavel, PhD@jayvanbavel·
Does social media harm everyone? No. But it harms *most* adolescents, according to a new study. And not all platforms have harmful effects. A new analysis of 44,211 daily diaries from 479 adolescents over 100 days finds that the majority of adolescents (60%) experienced small, but consistently negative effects of social media, suggesting that social media use is a notable contributor to mental health issues. However, a minority (13.6%) of adolescents experienced simultaneously harms and benefits across different dimensions of their mental health. Exploratory analyses revealed negative impacts of TikTok, YouTube, and Instagram use and positive or null effects of Snapchat and WhatsAp. This means that social media doesn't have to be harmful. link.springer.com/article/10.100…
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Nature Portfolio
Nature Portfolio@NaturePortfolio·
Instagram users may overestimate the extent to which they are addicted to the platform, according to research conducted on 1,204 US adults published in @SciReports. go.nature.com/48oDj0Q
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Ian Axel Anderson, PhD
Ian Axel Anderson, PhD@aanixel·
🔑 For platforms: give users more tools to control and manage use, preferably based on the same strategies that are already being used to drive habitual, highly frequent use of platforms.
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Ian Axel Anderson, PhD
Ian Axel Anderson, PhD@aanixel·
🔑 For scientists, consider using a more diverse array of measures for frequent social media use, including measures of habit, addiction, frequency, and collecting actual log data.
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Ian Axel Anderson, PhD
Ian Axel Anderson, PhD@aanixel·
Are you really "addicted" to social media? Good news: probably not, at least according to my and @ProfWendyWood's new paper, available open-access from @SciReports! Thread below... 🧵
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Jay Van Bavel, PhD
Jay Van Bavel, PhD@jayvanbavel·
Social media users adopt the toxic behaviors of ingroup members An analysis of 7 million tweets from over 700,000 accounts find that exposures to toxic behavior by ingroup members is the primary driver of contagious toxicity online academic.oup.com/jcmc/article/3…
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Caitlin Gilbert
Caitlin Gilbert@caitlinsgilbert·
🤳EXCLUSIVE: We analyzed data from over 800 U.S. TikTok users to reveal how the app transforms casual users into power users. Extremely proud of this one, over a year in the making w/ @richardsima Leslie Shapiro, Aaron Steckelberg, Ence Morse 🎁 link: wapo.st/4obueib
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Ruben Hassid
Ruben Hassid@rubenhassid·
BREAKING: Apple just proved AI "reasoning" models like Claude, DeepSeek-R1, and o3-mini don't actually reason at all. They just memorize patterns really well. Here's what Apple discovered: (hint: we're not as close to AGI as the hype suggests)
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