• Publications
  • Influence
Design and Analysis of Experiments in Networks: Reducing Bias from Interference
TLDR
This work evaluates methods for designing and analyzing randomized experiments under minimal, realistic assumptions compatible with broad interference, finding substantial bias reductions and, despite a bias–variance tradeoff, error reductions.
Social influence in social advertising: evidence from field experiments
TLDR
The effect of social cues on consumer responses to ads is identified, measured in terms of ad clicks and the formation of connections with the advertised entity, and it is shown that these influence effects are greatest for strong ties.
Rumor Cascades
TLDR
It is found that rumor cascades run deeper in the social network than reshare cascades in general and that different variants tend to dominate different bursts in popularity.
Over-exposed?: privacy patterns and considerations in online and mobile photo sharing
TLDR
In a first-of-its-kind study, context-aware camerephone devices are used to examine privacy decisions in mobile and online photo sharing and identify relationships between location of photo capture and photo privacy settings.
Designing and deploying online field experiments
TLDR
A language for online field experiments called PlanOut separates experimental design from application code, allowing the experimenter to concisely describe experimental designs, whether common "A/B tests" and factorial designs, or more complex designs involving conditional logic or multiple experimental units.
Exact p-Values for Network Interference
ABSTRACT We study the calculation of exact p-values for a large class of nonsharp null hypotheses about treatment effects in a setting with data from experiments involving members of a single
Shifting attention to accuracy can reduce misinformation online.
TLDR
It is found that the veracity of headlines has little effect on sharing intentions, despite having a large effect on judgments of accuracy, and that subtly shifting attention to accuracy increases the quality of news that people subsequently share.
Selecting Effective Means to Any End: Futures and Ethics of Persuasion Profiling
TLDR
This paper argues that adaptive persuasive systems that adapt to individual differences in the effectiveness of particular means, rather than selecting different ends, are worth separate consideration and raise unique ethical issues.
Uncertainty in online experiments with dependent data: an evaluation of bootstrap methods
TLDR
This work develops a framework for understanding how dependence affects uncertainty in user-item experiments and evaluates how bootstrap methods that account for differing levels of dependence perform in practice, and highlights the importance of analysis of inferential methods for complex dependence structures common to online experiments.
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