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 tefan 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
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 tefan 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
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