Johannes Eichstaedt's guest appearances

Johannes Eichstaedt

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Stanford Psychology Podcast 

Meredith Broussard

Ilias Diakonikolas

Scott Clark

Celeste Kidd

Dennis Mortensen

Rob Walker

Sanmi Koyejo

Chelsea Finn

Dario Amodei

Jianxiong Xiao

Kate Darling

Jason Holmberg

Lotte Bransen

Christopher Berner

David Spiegelhalter

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Anjie chats with Dr. Johannes Eichstaedt,  an Assistant Professor in Psychology, and the Shriram Faculty Fellow at the Institute for Human-Centered Artificial Intelligence at Stanford University. Johannes directs the Computational Psychology and Well-Being lab. His research focuses on using social media (Facebook, Twitter, Reddit, …) to measure the psychological states of large populations and individuals to determine the thoughts, emotions, and behaviors that drive physical illness (like heart disease), depression, or support psychological well-being.  In this episode, Anjie and Johannes chat about how social media could be a lens to understand mental illnesses such as depression. Johannes also shares his thoughts on the emerging trends in social media, and how some powerful technocrats in Silicon Valley might have some huge blind spots in understanding human nature.  If you found this episode interesting at all, subscribe on our Substackand consider leaving us a good rating! It just takes a second but will allow us to reach more people and make them excited about psychology. Links:  Johannes’s paper: Eichstaedt, J. C., Smith, R. J., Merchant, R. M., Ungar, L. H., Crutchley, P., Preoţiuc-Pietro, D., ... &amp; Schwartz, H. A. (2018). Facebook language predicts depression in medical records. Proceedings of the National Academy of Sciences, 115(44), 11203-11208.Johannes’s Twitter: @JEichstaedtJohannes’s lab website: https://cpwb.stanford.edu/ Anjie’s: website: anjiecao.github.ioAnjie’s Twitter @anjie_cao Podcast Twitter @StanfordPsyPodPodcast Substack https://stanfordpsypod.substack.com/ Let us know what you thought of this episode, or of the podcast! :) stanfordpsychpodcast@gmail.com

Anjie chats with Dr. Johannes Eichstaedt,  an Assistant Professor in Psychology, and the Shriram Faculty Fellow at the Institute for Human-Centered Artificial Intelligence at Stanford University. Johannes directs the Computational Psychology and Well-Being lab. His research focuses on using social media (Facebook, Twitter, Reddit, …) to measure the psychological states of large populations and individuals to determine the thoughts, emotions, and behaviors that drive physical illness (like heart disease), depression, or support psychological well-being.  In this episode, Anjie and Johannes chat about how social media could be a lens to understand mental illnesses such as depression. Johannes also shares his thoughts on the emerging trends in social media, and how some powerful technocrats in Silicon Valley might have some huge blind spots in understanding human nature.  If you found this episode interesting at all, subscribe <a href="https://stanfordpsypod.substack.com/" rel="nofollow" target="_blank">on our Substack</a>and consider leaving us a good rating! It just takes a second but will allow us to reach more people and make them excited about psychology. Links:  Johannes’s paper: <a href="https://www.pnas.org/doi/abs/10.1073/pnas.1802331115" rel="nofollow" target="_blank">Eichstaedt, J. C., Smith, R. J., Merchant, R. M., Ungar, L. H., Crutchley, P., Preoţiuc-Pietro, D., ... &amp; Schwartz, H. A. (2018). Facebook language predicts depression in medical records. Proceedings of the National Academy of Sciences, 115(44), 11203-11208.</a>Johannes’s Twitter: <a href="https://twitter.com/jeichstaedt?lang=en" rel="nofollow" target="_blank">@JEichstaedt</a>Johannes’s lab website: <a href="https://cpwb.stanford.edu/" rel="nofollow" target="_blank">https://cpwb.stanford.edu/</a> Anjie’s: website: <a href="http://anjiecao.github.io" rel="nofollow" target="_blank">anjiecao.github.io</a>Anjie’s Twitter <a href="https://twitter.com/anjie_cao" rel="nofollow" target="_blank">@anjie_cao</a> Podcast Twitter <a href="https://twitter.com/StanfordPsyPod" rel="nofollow" target="_blank">@StanfordPsyPod</a>Podcast Substack <a href="https://stanfordpsypod.substack.com/" rel="nofollow" target="_blank">https://stanfordpsypod.substack.com/</a> Let us know what you thought of this episode, or of the podcast! :) <a href="mailto:stanfordpsychpodcast@gmail.com">stanfordpsychpodcast@gmail.com</a>

74 - Johannes Eichstaedt: Is Social Media to Blame for Mental Illness?

Today we’re joined by Johannes Eichstaedt, an Assistant Professor of Psychology at Stanford University. In our conversation, we explore how Johannes applies his physics background to a career as a computational social scientist, some of the major patterns in the data that emerged over the first few months of lockdown, including mental health, social norms, and political patterns. We also explore how Johannes built the process, and the techniques he’s using to collect, sift through, and understand the da

What NLP Tells Us About COVID-19 and Mental Health with Johannes Eichstaedt - #400