A model of online misinformation
D Acemoglu, A Ozdaglar… - Review of Economic …, 2024 - academic.oup.com
We present a model of online content sharing where agents sequentially observe an article
and decide whether to share it with others. This content may or may not contain …
and decide whether to share it with others. This content may or may not contain …
Field experiments on social media
M Mosleh, G Pennycook… - Current Directions in …, 2022 - journals.sagepub.com
Online behavioral data, such as digital traces from social media, have the potential to allow
researchers an unprecedented new window into human behavior in ecologically valid …
researchers an unprecedented new window into human behavior in ecologically valid …
Misinformation: Strategic sharing, homophily, and endogenous echo chambers
J Siderius - 2021 - siderius.lids.mit.edu
Misinformation: Strategic Sharing, Homophily, and Endogenous Echo Chambers Page 1
Misinformation: Strategic Sharing, Homophily, and Endogenous Echo Chambers DARON …
Misinformation: Strategic Sharing, Homophily, and Endogenous Echo Chambers DARON …
Bias and high-dimensional adjustment in observational studies of peer effects
Peer effects, in which an individual's behavior is affected by peers' behavior, are posited by
multiple theories in the social sciences. Randomized field experiments that identify peer …
multiple theories in the social sciences. Randomized field experiments that identify peer …
Regression adjustments for estimating the global treatment effect in experiments with interference
A Chin - Journal of Causal Inference, 2019 - degruyter.com
Standard estimators of the global average treatment effect can be biased in the presence of
interference. This paper proposes regression adjustment estimators for removing bias due to …
interference. This paper proposes regression adjustment estimators for removing bias due to …
Experimental design under network interference
D Viviano - arXiv preprint arXiv:2003.08421, 2020 - arxiv.org
This paper studies the design of two-wave experiments in the presence of spillover effects
when the researcher aims to conduct precise inference on treatment effects. We consider …
when the researcher aims to conduct precise inference on treatment effects. We consider …
Non-monetary incentives to increase enrollment in payments for environmental services
S Chabé-Ferret, P Le Coent… - European Review of …, 2023 - academic.oup.com
Abstract Payments for Environmental Services (PESs) are increasingly used to foster
farmers' adoption of greener practices, but their effectiveness is often undermined by low …
farmers' adoption of greener practices, but their effectiveness is often undermined by low …
Identification and estimation of causal peer effects using double negative controls for unmeasured network confounding
N Egami, EJ Tchetgen Tchetgen - Journal of the Royal Statistical …, 2024 - academic.oup.com
Identification and estimation of causal peer effects are challenging in observational studies
for two reasons. The first is the identification challenge due to unmeasured network …
for two reasons. The first is the identification challenge due to unmeasured network …
Spillover effects in experimental data
We present current methods for estimating treatment effects and spillover effects under
“interference,” a term that covers a broad class of situations in which a unit's outcome …
“interference,” a term that covers a broad class of situations in which a unit's outcome …
Causal clustering: design of cluster experiments under network interference
This paper studies the design of cluster experiments to estimate the global treatment effect in
the presence of spillovers on a single network. We provide an econometric framework to …
the presence of spillovers on a single network. We provide an econometric framework to …