202 citations · 426 across the 25 of their papers we have counts for
25 papers
Off-policy causal estimation in networks
Sahil Loomba, Dean Eckles
In the presence of interference, where the treatment assigned to one unit can affect the outcomes of others, many causal estimands depend on the treatment-assignment policy under w…
Evaluating for the long term: Learnings from industry
Leif Sigerson, Tom Cunningham, Winston Chou +22
Online platforms prioritize long-term business outcomes, yet typical experiments are far too short to measure these outcomes directly. Our goal in this paper is to collect and shar…
Policy relevance of causal quantities in networks
Sahil Loomba, Dean Eckles
In settings where units' outcomes are affected by others' treatments, there has been a proliferation of ways to quantify effects of treatments on outcomes, including via indirect e…
Effects of Algorithmic Trend Promotion: Evidence from Coordinated Campaigns in Twitter's Trending Topics
Joseph Schlessinger, Kiran Garimella, Maurice Jakesch +1
In addition to more personalized content feeds, some leading social media platforms give a prominent role to content that is more widely popular. On Twitter, "trending topics" iden…
The Network Structure of Unequal Diffusion
Eaman Jahani, Dean Eckles, Alex 'Sandy' Pentland
Social networks affect the diffusion of information, and thus have the potential to reduce or amplify inequality in access to opportunity. We show empirically that social networks…
Influence of Repetition through Limited Recall
Jad Sassine, M. Amin Rahimian, Dean Eckles
Decision makers who receive many signals are subject to imperfect recall. This is especially important when learning from feeds that aggregate messages from many senders on social…