Computational Analysis of Communication

Name: Computational Analysis of Communication
Brand: Unknown
SKU: 9781119680239
Price: 87.99 NZD
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By Damian Trilling and Carlos Arcila Calderon and Wouter van Atteveldt

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Summary

Computational Analysis of Communication by Damian Trilling, Carlos Arcila Calderon, and Wouter van Atteveldt explores the intersection of communication studies and computational methods. It delves into how digital communication can be analysed using cutting-edge computational tools, enhancing our understanding of media and interaction processes. The book addresses complex topics such as data collection, analysis techniques, and the ethical implications of modern communication technologies.
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Format: Paperback / softback

$87⁹⁹

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Computational Analysis of Communication

$87⁹⁹

Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

You might enjoy this book if you are interested in the intersection of science, technology, and communication. It offers insights into how computational techniques can be applied to understand communication patterns and dynamics. This book is ideal for those keen on delving into innovative methods for analysing media and communication in a digital age.

Description

Provides clear guidance on leveraging computational techniques to answer social science questions

In disciplines such as political science, sociology, psychology, and media studies, the use of computational analysis is rapidly increasing. Statistical modelling, machine learning, and other computational techniques are revolutionising the way electoral results are predicted, social sentiment is measured, consumer interest is evaluated, and much more. Computational Analysis of Communication teaches social science students and practitioners how computational methods can be used in a broad range of applications, providing discipline-relevant examples, clear explanations, and practical guidance.

Assuming little or no background in data science or computer linguistics, this accessible textbook teaches readers how to use state-of-the-art computational methods to perform data-driven analyses of social science issues. A cross-disciplinary team of authors—with expertise in both the social sciences and computer science—explains how to gather and clean data, manage textual, audio-visual, and network data, conduct statistical and quantitative analysis, and interpret, summarise, and visualise the results. Offered in a unique hybrid format that integrates print, ebook, and open-access online viewing, this innovative resource:

Covers the essential skills for social sciences courses on big data, data visualisation, text analysis, predictive analytics, and others
Integrates theory, methods, and tools to provide unified approach to the subject
Includes sample code in Python and links to actual research questions and cases from social science and communication studies
Discusses ethical and normative issues relevant to privacy, data ownership, and reproducible social science
Developed in partnership with the International Communication Association and by the editors of Computational Communication Research

Computational Analysis of Communication is an invaluable textbook and reference for students taking computational methods courses in social sciences, and for professional social scientists looking to incorporate computational methods into their work.

Book Details

INFORMATION

ISBN: 9781119680239

Publisher: John Wiley and Sons Ltd

Format: Paperback / softback

Date Published: 03 March 2022

Country: United Kingdom

Imprint: Wiley-Blackwell

Audience: Professional and scholarly

DIMENSIONS

Spine width: 23.0mm

Width: 178.0mm

Height: 249.0mm

Weight: 680g

Pages: 336

Collections

Carlos Arcila Calderon Damian Trilling Education & Reference Non-Fiction Science & Nature Wouter van Atteveldt

About the Author

Dr. Wouter van Atteveldt is an Associate Professor of Political Communication at Vrije Universiteit, Amsterdam. He is co-founder of the Computational Methods division of the International Communication Association, and Founding Chief Editor of Computational Communication Research. He has published extensively on innovative methods for analyzing political text and contributed to a number of relevant R and Python packages.

Dr. Damian Trilling is an Associate Professor, Department of Communication Science, at the University of Amsterdam, and Associate Editor of Computational Communication Research. His research uses computational methods such as the analysis of digital trace data and large-scale text analysis to study the use and effects of news media. He has developed extensive teaching materials to introduce social scientists to the Python programming language.

Dr. Carlos Arcila Calderón is an Associate Professor, Department of Sociology and Communication, at the University of Salamanca, Chief Editor of the journal Disertaciones, and member of the Editorial Board of Computational Communication Research. He has published extensively on new media and social media studies, and has led the prototype Autocop, a Spark-based environment to run distributed supervised sentiment analysis of Twitter messages.