4k citations · 12.3k across the 15 of their papers we have counts for
3 papers · 1 filter
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…
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…
Estimating the Causal Impact of Recommendation Systems from Observational Data
Amit Sharma, Jake M. Hofman, Duncan J. Watts
Recommendation systems are an increasingly prominent part of the web, accounting for up to a third of all traffic on several of the world's most popular sites. Nevertheless, little…