Contemporary Research Methods and Data Analytics in the News Industry

Author: William J. Gibbs   Joseph McKendrick  

Publisher: IGI Global‎

Publication year: 2015

E-ISBN: 9781466685819

Subject: G21 journalism

Language: ENG

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Description

The advent of digital technologies has changed the news and publishing industries drastically. While shrinking newsrooms may be a concern for many, journalists and publishing professionals are working to reorient their skills and capabilities to employ technology for the purpose of better understanding and engaging with their audiences. Contemporary Research Methods and Data Analytics in the News Industry highlights the research behind the innovations and emerging practices being implemented within the journalism industry. This crucial, industry-shattering publication focuses on key topics in social media and video streaming as a new form of media communication as well the application of big data and data analytics for collecting information and drawing conclusions about the current and future state of print and digital news. Due to significant insight surrounding the latest applications and technologies affecting the news industry, this publication is a must-have resource for journalists, analysts, news media professionals, social media strategists, researchers, television news producers, and upper-level students in journalism and media studies. This timely industry resource includes key topics on the changing scope of the news and publishing industries including, but not limited to, big data, broadcast journalism, computational journalism, computer-mediated communication, data scraping, digital media, news media, social media, text mining, and user experience.

Chapter

Introduction

Introduction

Section 1: Computational Journalism: Entering the New World

Section 1: Computational Journalism: Entering the New World

Chapter 1: When Journalism Met the Internet

Chapter 1: When Journalism Met the Internet

Chapter 2: Computational Journalism

Chapter 2: Computational Journalism

Chapter 3: Research Methods, Data, and Analytics

Chapter 3: Research Methods, Data, and Analytics

Chapter 4: A Tale of Two Newsrooms

Chapter 4: A Tale of Two Newsrooms

Chapter 5: Data-Driven Information Consumption

Chapter 5: Data-Driven Information Consumption

Section 2: Harnessing the Power of Data

Section 2: Harnessing the Power of Data

Chapter 6: Web 2.0 and News 2.0

Chapter 6: Web 2.0 and News 2.0

Chapter 7: Shaping Content Strategies with User Analytics and Identities

Chapter 7: Shaping Content Strategies with User Analytics and Identities

Chapter 8: Big Data, Text Mining, and News Content

Chapter 8: Big Data, Text Mining, and News Content

Chapter 9: Using Market Research as the Basis for Successful Content Product Decisions

Chapter 9: Using Market Research as the Basis for Successful Content Product Decisions

Chapter 10: Research Methodologies, Data Collection, and Analysis at MailChimp

Chapter 10: Research Methodologies, Data Collection, and Analysis at MailChimp

Section 3: Measuring the Future

Section 3: Measuring the Future

Chapter 11: Spreading the News

Chapter 11: Spreading the News

Chapter 12: Visualizing Social Network Influence

Chapter 12: Visualizing Social Network Influence

Chapter 13: The Disruptive Impact of Emerging Technology

Chapter 13: The Disruptive Impact of Emerging Technology

Chapter 14: Transformational Content and Relationships

Chapter 14: Transformational Content and Relationships

Compilation of References

Compilation of References

About the Contributors

About the Contributors

Index

Index

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