Computational Methods for Communication Science

Wouter van Atteveldt is Associate Professor of Political Communication at VU Amsterdam, the Netherlands. His research interests include computational communication science and the role of news and journalism in the functioning of democracy. He co-founded the ICA division on Computational Methods and is Editor-in-Chief of the journal Computational Communication Research. Tai-Quan Peng is Associate Professor at the Department of Communication, Michigan State University, East Lansing, USA. His research interest lies in the application of computational methods to examine structure and dynamics of human communication phenomena on social and mobile media. He was the Inaugural Chair of the Computational Methods division at the International Communication Association.

Introduction: When Communication Meets Computation: Opportunities, Challenges, and Pitfalls in Computational Communication Science

Wouter van Atteveldt and Tai-Quan Peng

1. Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology

Daniel Maier, A. Waldherr, P. Miltner, G. Wiedemann, A. Niekler, A. Keinert, B. Pfetsch, G. Heyer, U. Reber, T. Häussler, H. Schmid-Petri and S. Adam

2. Extracting Latent Moral Information from Text Narratives: Relevance, Challenges, and Solutions

René Weber, J. Michael Mangus, Richard Huskey, Frederic R. Hopp, Ori Amir, Reid Swanson, Andrew Gordon, Peter Khooshabeh, Lindsay Hahn and Ron Tamborini

3. More than Bags of Words: Sentiment Analysis with Word Embeddings

Elena Rudkowsky, Martin Haselmayer, Matthias Wastian, Marcelo Jenny, Štefan Emrich and Michael Sedlmair

4. Scaling up Content Analysis

Damian Trilling and Jeroen G. F. Jonkman

5. How Team Interlock Ecosystems Shape the Assembly of Scientific Teams: A Hypergraph Approach

Alina Lungeanu, Dorothy R. Carter, Leslie A. DeChurch and Noshir S. Contractor

6. Methods and Approaches to Using Web Archives in Computational Communication Research

Matthew S. Weber

7. Disentangling User Samples: A Supervised Machine Learning Approach to Proxy-population Mismatch in Twitter Research

K. Hazel Kwon, J. Hunter Priniski and Monica Chadha