Computational Methods for Communication Science

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. Haeussler, H. Schmid-Petri and S. Adam

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

Rene 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, Stefan 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