A new study from Duncan Watts/CSSLab at Penn finds that users’ own political interests and preferences play the primary role in what they choose to watch on YouTube. If the recommendation features have any impact on users’ media diets, it is a moderating one. knowledge.wharton.upenn.edu/article/the-yo…

A new study from Homa and Duncan Watts at CSSLab at Penn finds that the YouTube recommendation system is less influential on users’ political views than is commonly believed: whr.tn/3U0s20C Knowledge at Wharton

We're continuing to highlight The Wharton School Women in Analytics with a research spotlight on Homa of CSSLab at Penn. Her research on YouTube's recommendation system reveals the video platform might not recommend content the way you think it does. Learn more:

analytics.wharton.upenn.edu/news/research-…

A new study from Annenberg School’s Computational Social Science Lab finds that the YouTube recommendation system is less influential on users’ political views than is commonly believed.
bit.ly/4bCVO2a

Deadline extended to March 3rd now‼️More time to wrap up and submit your work🏃‍♀️🏃

New research from CSSLab at Penn Associate Research Scientist Homa and The Warren Center for Network & Data Sciences faculty affiliate Duncan Watts suggests that the YouTube recommendation system is less influential on users’ political views than is commonly believed. penntoday.upenn.edu/news/asc-dunca…

A new study from Annenberg School’s Computational Social Science Lab finds that the YouTube recommendation system is less influential on users’ political views than is commonly believed.
bit.ly/4bCVO2a

🚨One week away 🚨Abstracts are due on Feb 24th. Please consider applying and spreading with those interested!

Very proud of this paper. Also noting that Homa, Amir Ghasemian, and Manoel are all on the job market! All three are outstanding so please reach out if interested.

Excited to share our new paper, 'Causally estimating the effect of YouTube's recommender system using counterfactual bots,' with Homa & Miguel Rivera-Lanas & Manoel & Bob West & Duncan Watts: doi.org/10.1073/pnas.2…
Here’s a summary 📝

Is the YouTube algorithm radicalizing us?

Our new PNAS paper says: probably not!

But why should you trust this paper rather than other papers or reports saying otherwise?

Because we came up with a way to disentangle the causal effect of the algorithm.

pnas.org/doi/10.1073/pn…

What if we could measure common sense? Duncan Watts and Mark Whiting of CSSLab at Penn have done just that! Their innovative approach sheds light on how we navigate everyday decisions.

Learn more: knowledge.wharton.upenn.edu/article/what-i…

Reposting as the submission deadline (02/24) is fast approaching. Hope to see many of you in Philly this July!

Conference website: ic2s2-2024.org
Abstract submission: openreview.net/group?id=IC2S2…

📣Call for submissions 📣 The International Conference on Computational Social Science #IC2S2 will be Penn in Philadelphia July 17-20 '24. Abstract submissions are due in three weeks — check the website for more and consider applying!
ic2s2-2024.org

We're thrilled to have Nasrin Mostafazadeh as the keynote speaker for our fifth annual Women in Data Science @ Penn Conference on Feb. 9th!

Nasrin co-founded Verneek, which helps businesses seamlessly integrate purpose-built AI models.

Registration ⤵️

analytics.wharton.upenn.edu/events/women-i…

There's still time to register for the Women in Data Science @ Penn Conference next week!

Attendees can opt into a guided tour of the Penn Museum and attend a workshop on the Evolution of Data Storytelling from Analytics at Wharton on Thursday, 2/8. #WiDS

whr.tn/WiDS2024

Nice coverage of my recent PNAS paper with Mark Whiting

The commonalities of common sense penntoday.upenn.edu/news/penn-dunc…

Paper is at pnas.org/doi/10.1073/pn…

❗️ New Paper Alert ❗️ Duncan Watts and I introduce a framework for quantifying common sense at individual 👤 and collective 🫂 levels pnas.org/doi/10.1073/pn… 🪡

The International Conference on Computational Social Science (IC2S2) will be here at Penn in Philadelphia July 17-20 '24 & the deadlines for tutorials (2/2) & abstracts (3/3) are approaching.

See the conference website for more--and consider applying!

ic2s2-2024.org

Hiring a data scientist for CSSLab at Penn. Come join our growing team! wd1.myworkdaysite.com/en-US/recruiti…