4k citations · 12.3k across the 15 of their papers we have counts for
16 papers
Causally estimating the effect of YouTube's recommender system using counterfactual bots
Homa Hosseinmardi, Amir Ghasemian, Miguel Rivera-Lanas +3
In recent years, critics of online platforms have raised concerns about the ability of recommendation algorithms to amplify problematic content, with potentially radicalizing conse…
The science of fake news
David M. J. Lazer, Matthew A. Baum, Yochai Benkler +13
Fake news emerged as an apparent global problem during the 2016 U.S. Presidential election. Addressing it requires a multidisciplinary effort to define the nature and extent of the…
Empirica: a virtual lab for high-throughput macro-level experiments
Abdullah Almaatouq, Joshua Becker, James P. Houghton +3
Virtual labs allow researchers to design high-throughput and macro-level experiments that are not feasible in traditional in-person physical lab settings. Despite the increasing po…
A generalized model of social and biological contagion
Peter Sheridan Dodds, Duncan J. Watts
We present a model of contagion that unifies and generalizes existing models of the spread of social influences and micro-organismal infections. Our model incorporates individual m…
Split-door criterion: Identification of causal effects through auxiliary outcomes
Amit Sharma, Jake M. Hofman, Duncan J. Watts
We present a method for estimating causal effects in time series data when fine-grained information about the outcome of interest is available. Specifically, we examine what we cal…
Exploring limits to prediction in complex social systems
Travis Martin, Jake M. Hofman, Amit Sharma +2
How predictable is success in complex social systems? In spite of a recent profusion of prediction studies that exploit online social and information network data, this question re…