Parliamentary and legislative debate transcripts provide access to information concerning
the opinions, positions, and policy preferences of elected politicians. They attract attention …

The 2016 election of Donald J. Trump invoked a time for reflection about the state of
American politics and its deep ideological, cultural, racial, regional, and economic divisions …

Communication research frequently applies computational text analysis methods (CTAM) to
detect and measure social science constructs. However, the validity of these measures can …

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

Word embeddings, the coefficients from neural network models predicting the use of words
in context, have now become inescapable in applications involving natural language …

Research on media bias has been primarily conducted a number of times of news outlets
referred on political news articles, but nonpolitical articles can still convey media bias that …

Ideal point models analyze lawmakers' votes to quantify their political positions, or ideal
points. But votes are not the only way to express a political position. Lawmakers also give …

Parties should develop a consistent issue profile during an electoral campaign. Yet,
manifestos, which form the baseline for a party's programmatic goals in the upcoming …

This paper proposes a new method to combine choice-and text data to infer moral
motivations from people's actions. To do this, we rely on moral rhetoric, in other words …

Standard methods for measuring latent traits from categorical data assume that response
functions are monotonic. This assumption is violated when individuals from both extremes …