During the 2020 election, we conducted a 23k-person pre-registered field experiment on Facebook, reducing exposure to content from politically like-minded sources: https://t.co/UGH4RcAp3g. The article has a wealth of other information, including stats on platform "echo chambers."
Today is publication day for the first 4 papers resulting from a unique collaboration between Meta researchers and outside academics to study the political effects of Facebook and Instagram in the 2020 U.S. election! 🧵 1/N
(ノo‿o)ノ✧.*・。゚ Publication day!! First four articles from the US 2020 Facebook and Instagram Election study (FIES) are out! 3 in Science and 1 in Nature
All studies included pre-registration, IRB approval, code review, and data sharing for reproducibility + future research via ICPSR: https://t.co/MbHxdfdd6n
Following my new life motto that never write a paper that could have been a tweet. Here is the tweet.
The Social Exchange Machine: Crypto as Society Made Scalable
Why HCI folks should pay more attention to crypto
https://t.co/hKS2HXkNt1
JUST PUBLISHED online this morning! My new @JofHSB article coauthored with @tysonbrown & @brittanym_king "Structural Intersectionality as a New Direction for Health Disparities Research" https://t.co/7yE4rzttEY
It's an honor to have had @chris_bail, Jim Moody, @informor, @vaiseys, Martin Ruef, and Lynn Smith-Lovin as my committee! I'm so stoked about this milestone + to share my findings! More to come 🙏✨
Can machine learning explain why gender inequalities persist in contemporary art markets? You'll have to ask @DukeSociology's newest PhD: @taywbrown, who successfully defended her outstanding dissertation yesterday! https://t.co/m3NYHsH5Cs