• Publications
  • Influence
Exposure to ideologically diverse news and opinion on Facebook
TLDR
Examination of the news that millions of Facebook users' peers shared, what information these users were presented with, and what they ultimately consumed found that friends shared substantially less cross-cutting news from sources aligned with an opposing ideology.
Selective Exposure in the Age of Social Media
TLDR
It is hypothesized that social media’s distinctive feature, social endorsements, trigger several decision heuristics that suggest utility, and it is demonstrated that stronger social endorsements increase the probability that people select content and that their presence reduces partisan selective exposure to levels indistinguishable from chance.
Do Attitudes About Immigration Predict Willingness to Admit Individual Immigrants? A Cross-National Test of the Person-Positivity Bias
This paper demonstrates that citizens in seven advanced industrialized democracies generally oppose more open immigration policies, but stand ready to admit individual immigrants. Using an
Estimating Heterogeneous Treatment Effects and the Effects of Heterogeneous Treatments with Ensemble Methods
TLDR
It is shown how an ensemble of methods—weighted averages of estimates from individual models increasingly used in machine learning—accurately measure heterogeneous effects and how pooling models lead to superior performance to individual methods across diverse problems.
How Words and Money Cultivate a Personal Vote: The Effect of Legislator Credit Claiming on Constituent Credit Allocation
the district—affect how constituents allocate credit. Legislators use credit claiming messages to influence the expenditures they receive credit for and to affect how closely they are associated with
Quantifying Social Media’s Political Space: Estimating Ideology from Publicly Revealed Preferences on Facebook
We demonstrate that social media data represent a useful resource for testing models of legislative and individual-level political behavior and attitudes. First, we develop a model to estimate the
Who is a ‘Deserving’ Immigrant? An Experimental Study of Norwegian Attitudes
Previous research demonstrates that opposition to immigration increases when immigrant groups are seen as economically non-viable and burdened with distinctive and unassimilable cultural practices.
Of course I wouldn't do that in real life: advancing the arguments for increasing realism in HCI experiments
TLDR
It is argued furthermore, that realism can be increased while still maintaining control: analogue experiments allow researchers to conduct experiments in more ecologically valid environments and online experiments bridge the gap between the cleanroom and field.
Explicit and Implicit Racial Attitudes: A Test of their Convergent and Predictive Validity
Using data from national samples, we examine the convergent and predictive validity of explicit and implicit measures of racial prejudice. First, we show that explicit measures diverge from a measure
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