Assistant Professor of Computer Science at University of Toronto. Research at the intersection of AI, data, and society. Previously @Stanford and @MSFTResearch.
Sep 20, 2023 • 16 tweets • 8 min read
I'm teaching the 7th year of my grad class in Computational Social Science: AI, Data, and Society. From observational analyses to experiments to ethics to applying ML.
14 papers, a mix of cutting-edge and modern classics
🌐 Course webpage:
📰 Papers 👇 /ncs.toronto.edu/~ashton/csc255…
Observational analyses: 1. "Asymmetric ideological segregation in exposure to political news on Facebook" Science, 2023. by @sgonzalezbailon @davidlazer @p_barbera @BrendanNyhan @andyguess @j_a_tucker & many others nature.com/articles/s4158…
Dec 1, 2021 • 14 tweets • 5 min read
Thrilled to share our paper, out today in @nature, which proposes a new paradigm for the analysis of online platforms and applies it to study political polarization over the complete history of Reddit
w/ @isaacwaller
Paper: nature.com/articles/s4158…
🧵1/n
We show how to quantify online communities along interpretable social dimensions (e.g. “left-wing” to “right-wing” or “younger” to “older”) in a completely behavioural way. A community is “left-wing” only if the people who comment in it are more active on the left than the right.
