We identify three gaps that limit the utility and obstruct the progress of computational text
analysis methods (CTAM) for social science research. First, we contend that CTAM …

Research on negative campaigning has grown rapidly in the past decades. This article
reviews the literature dealing with this campaign strategy. It discusses its definition and …

Previous research on emotional language relied heavily on off-the-shelf sentiment
dictionaries that focus on negative and positive tone. These dictionaries are often tailored to …

Voters evaluate politicians not just by what they say, but also how they say it, via facial
displays of emotions and vocal pitch. Candidate characteristics can shape how leaders use …

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

The COVID-19 pandemic presents an exceptional crisis situation not only for governments,
but also for politicians in opposition. This article analyses opposition party expressed …

There is a growing interest in quantitative analysis of large corpora among the international
relations (IR) scholars, but many of them find it difficult to perform analysis consistently with …

Twitter is a prominent communication tool for politicians with two potential uses: as a
“substitute” channel to circumvent constraints from other political arenas, or as an “amplifier” …

Research has shown that emotions matter in politics, but we know less about when and why
politicians use emotive rhetoric in the legislative arena. This article argues that emotive …

Many social scientists recognize that quantitative text analysis is a useful research
methodology, but its application is still concentrated in documents written in European …