Why do Americans have such animosity for people who identify with the opposing political
party? Jaime E. Settle argues that in the context of increasing partisan polarization among …

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

Though prior studies have analyzed the textual characteristics of online comments about
politics, less is known about how selection into commenting behavior and exposure to other …

What explains the type of electoral campaign run by political parties? We provide a new
perspective on campaigns that focuses on the strategic use of emotive language. We argue …

Political campaigns' use of digital technologies has been a topic of scholarly concern for
over two decades, but most studies have been focused on analyzing the use of digital …

We use 23M Tweets related to the EU referendum in the UK to predict the Brexit vote. In
particular, we use user-generated labels known as hashtags to build training sets related to …

Communication research has recently had an influx of groundbreaking findings based on
big data. Examples include not only analyses of Twitter, Wikipedia, and Facebook, but also …

Using the 2012 presidential election as a case study, this work set out to understand the
relationship between negative political advertising and political incivility on Twitter. Drawing …

Using 414,322 tweets drawn from 143,404 individual Twitter users located in all 435 US
congressional districts, this study employed big data and automated content analysis …

This book is your guide to how to use social media to share what you do and what you learn
with the world. As part of a team working in higher education academic communication and …