Hyperparameters critically influence how well machine learning models perform on unseen,
out-of-sample data. Systematically comparing the performance of different hyperparameter …

We provide an introduction of the functioning, implementation, and challenges of
convolutional neural networks (CNNs) to classify visual information in social sciences. This …

We introduce a typology of election administration harms and apply it to empirically study the
consequences of ballot design. Our typology distinguishes between individual, electoral …

Shifts in late-counted votes often spark unfounded claims of electoral fraud. These claims
exploit the early-count mirage: the expedient illusion that, absent fraud, an early advantage …

Post-election audits are thought to bolster voter confidence in elections, but it is unclear
which aspects of audits drive public trust. Using preregistered vignette and conjoint survey …

Electoral manipulation undermines the function of elections as a mechanism of
representation and accountability, and erodes public trust in government institutions; …

Why does vote buying persist under the secret ballot? We argue initiating vote-buying
transactions allows politicians to undermine voter confidence in the secret ballot, and thus to …

The most common method of tabulating election results around the world is manually
compiling paper forms at the local level. Recent election disputes in developing …

The surge of social media usage and its importance on political campaigns across the globe
has been imminent. As new electoral processes begin, new social media tactics appear …

Building on the availability of geospatial data, improvements in mapping software, and
innovations in spatial statistics, political scientists are increasingly taking geography …