ABSTRACT

In the face of the continuously changing challenges of the digital age, it is difficult for quality news journalism to survive on any significant scale if a means for adequately funding it is not available.

This new study, a follow-up to 2007’s The Future of Journalism in the Advanced Democracies, includes a comparative analysis of possible alternative business models that may save the future of the quality news business across the developed, intermediate, and developing worlds.

Its detailed evaluation encompasses also the different ways in which wider key issues are affecting the prospects for quality news as a core ingredient of effectively working democracies. It focuses on the United States, the United Kingdom, South Africa, India, Kenya, and selected parts of the Arab World, providing a comprehensive cross-cultural survey of different approaches to addressing these various issues. To keep the study firmly rooted in the "real world" the contributors include distinguished practitioners as well as experienced academics.

chapter |4 pages

Introduction

part section I|48 pages

What Is Quality News Journalism?

chapter 2|18 pages

From the Insight Team to Wikileaks

The Continuing Power of Investigative Journalism as a Benchmark of Quality News Journalism

part Section III|124 pages

A Critical Overview of Current Quality Levels in the Journalism of Sample Developed World States and What Needs to Be Done to Maintain or Improve Them

part Section IV|40 pages

Current Quality Levels in the Journalism of South Africa and Kenya, and What Needs to Be Done to Maintain or Improve Them

part Section V|42 pages

Case Studies from India and the Arab World

chapter 14|15 pages

Where More Is Not Better

Challenges Facing Quality News Journalism in 'Shining' India

chapter 15|15 pages

(Re-)framing the 'Quality' Debate

The Arab Media and Its Future Journalism

chapter |9 pages

Conclusion

chapter |1 pages

Bonus Chapter—More Core Material Available by Web Link

Why Mainstream News Still Matters, and Why New Business Models Must Be Found