Computational Methods for Communication Science (eBook, PDF)

Redaktion: Atteveldt, Wouter van; Peng, Tai-Quan

• Format: PDF

Produktbeschreibung

Computational Methods for Communication Science showcases the use of innovative computational methods in the study of communication.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 174
• Erscheinungstermin: 29. März 2021
• Englisch
• ISBN-13: 9781000370225
• Artikelnr.: 60919742

Autorenporträt

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.

Inhaltsangabe

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, 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