Rethinking Research Methods in an Age of Digital Journalism

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algorithms
Andreas Widholm
Annika Bergstrom
audience analytics
automated content analysis
big data
big data methodologies
Carina Jacobi
Category=JBCT
Category=KNTP2
Category=NH
Complex Research Environment
computational journalism
content analysis
Damian Trilling
Data Journalism
David Ryfe
Digital Journalism
Digital Journalism Studies
digital media
digital news user behaviour
Donica Mensing
Elisabeth Gunther
Epp Lauk
eq_bestseller
eq_business-finance-law
eq_history
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Google
Helle Sjovaag
Human Coders
Ike Picone
Inductive Frame Analysis
IP Address
Issue Attention Cycles
Jacob Ormen
Jelle W. Boumans
Journalism Research
Journalism Researchers
Journalism Scholars
journalism studies
Jukka Jouhki
Jukka Rohila
Kasper Welbers
LDA
LDA Model
LDA Topic
LDA Topic Model
Liquid Journalism
Maija Penttinen
Mail Modes
Manual Content Analysis
News Flows
Niina Sormanen
Online News
People's News Consumption
Richard Kelley
social media research
Som Survey
Stephanie Grubenmann
Supervised Machine Learning
text analysis
Thorsten Quandt
Topic Modelling
topic modelling techniques
Turo Uskali
Unsupervised Machine Learning
Wouter van Atteveldt

Product details

  • ISBN 9780367234270
  • Weight: 380g
  • Dimensions: 174 x 246mm
  • Publication Date: 14 Feb 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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The digital infrastructure of media production, dissemination and consumption is becoming increasingly complex, presenting the challenge of how we should research the digital journalism environment. Digital journalism takes many forms – we therefore need to revise, improve, adjust and even invent methods to understand emerging forms of journalism.

In this book, scholars at the forefront of methodological innovations in digital journalism research share their insights on how to collect, process and analyse the diverse expressions of digital journalism, including online news, search results, hyperlinks and social media posts. As digital journalism content often comes in the form of big data, many of these new approaches depart from the traditional methods used in media research in significant ways. As we move towards new ways of understanding digital journalism, the methods developed for such purposes also need to be grounded in scientific rigour. This book aims to share some of the emerging processes by which these methods, tools and approaches are designed, implemented and validated. As such, this book not only constitutes a benchmark for thinking about research methods in digital journalism, it also provides an entry point for graduate students and seasoned scholars aiming to do research on digital journalism. This book was originally published as a special issue of Digital Journalism.

Michael Karlsson is Professor in Media and Communication Studies at Karlstad University, Sweden. Helle Sjøvaag is a Research Professor in Media Studies at the University of Bergen, Norway.