Book Publishing Production in The Digital Age

#1 How digital publishers can fight Fake News

In the current era of rapid technological change, consumers devour content with a voracious appetite. But are they are becoming less discriminate about veracity and truth – values on which digital publishers have traditionally staked their reputations?

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#2 Today’s libraries, tomorrow’s museums?

Digital publishing isn’t cheap, but it’s hard to argue with the ‘free’ mentality of the internet. Much of the processes behind the creation of an ebook are no different than their printed equivalents, yet prevailing attitudes appear to imply that a few hundred kilobytes of text should cost less than an inch-thick stack of paper. Will today’s libraries become tomorrow’s museums?

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#3 Metadata maths (better data = better book sales)

Better metadata leads to better book sales. It really is that simple. Yet, this is an area that many publishers continue to overlook. We believe that the best way to increase the chances of serendipitous online discovery of a publisher's authors or titles is through metadata. So dip into the data behind the data and the best practices that follow.

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#4 Onshore, offshore, unsure?

In the Digital Age, the publishing production process has been revolutionised and opportunities are shifting in ways that no one could have imagined a decade ago. We explore the main advantages and challenges associated with onshore and offshore processes, why and when each make sense in an ever increasingly competitive landscape.

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#5 The culture of copy editing. A global perspective

Outsourcing aspects of the publishing production process to the global marketplace makes economic sense. The world is only a click away. Do culture differences make a difference? Can a copy editor on the far side of the world understand the language nuances publishers would expect from local suppliers?

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#6 Will the books of the future write themselves?

What will digital superintelligence mean for future publications and the future of book publishing? Can algorithms write? Where can machine learning excel? Today’s AI might be aggregators, not creators, but will AI ever truly rival a human’s ability to write compelling, emotive narrative?

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