Matthew Jockers

Jodie Archer

'If you're someone who dreams of penning a bestseller, read this book' The Week 'What if the success of E.L.James and Dan Brown was not so random? What if there were an algorithm that could pick out the bestseller DNA concealed within these books before they're published? This is the audacious claim made by Jodie Archer and Matthew Jockers ... Smart, savvy and full of ideas' Fiona Wilson, The Times Girl on the Train. Fifty Shades. The Goldfinch. Why do some books capture the whole world's attention? In The Bestseller Code, Archer and Jockers boldly claim that not only can mega-hits be explained and identified - but they've built the algorithm to prove it. Using cutting-edge text mining techniques, they have developed a model that analyses theme, plot, style and character to explain why some books resonate more than others with readers. Provocative, entertaining, and ground-breaking, The Bestseller Code explores the hidden patterns at work in the biggest hits and, more importantly, the real reasons we love to read. 'Non-formulaic, eye-opening, deeply-researched - and really worth your time' GQ 'When a story captures the imagination of millions, that's magic. Can you qualify magic? Archer and Jockers just may have done so' Sylvia Day, no.1 bestselling author 'The claims are eye-grabbing . . . and also highly plausible' Robert Douglas-Fairhurst, Spectator 'Thought-provoking and interesting ... Here is a book worth reading' David Bond, Financial Times

The Bestseller Code

Matthew L. Jockers

"When a story captures the imagination of millions, that's magic. Can you qualify magic? Archer and Jockers just may have done so."—Sylvia Day, New York Times bestselling author Ask most people about massive success in the world of fiction, and you'll typically hear that it's a game of hazy crystals balls. The sales figures of E. L. James or Dan Brown seem to be freakish—random occurrences in an unknowable market. So often we hear that nothing but hype explains their success. But what if there were an algorithm that could reveal a secret DNA of bestsellers, regardless of their genre? What if it knew, just from analyzing the words alone, not just why genre writers like John Grisham and Danielle Steel belong on the lists, but also that authors such as Junot Diaz, Jodi Picoult and Donna Tartt had tell-tale signs of success all over their pages? Thanks to Jodie Archer and Matthew Jockers, the algorithm exists, the code has been cracked, and the results bring fresh new insights into how fiction works and why we read. The Bestseller Code offers a new theory for why Fifty Shades sold so well. It sheds light on the current craze for dark heroines. It reveals which themes tend to sell best. And all with fascinating supporting data taken from a five year study of 20,000 novels. Then there is the hunt for “the one”—the paradigmatic example of bestselling writing according to a computer’s analysis of thousands of points of data. The result is surprising, a bit ironic, and delightfully unorthodox. This book explains groundbreaking text mining research in accessible terms and offers a new perspective on the New York Times bestseller list. It is big-idea book about the relationship between creativity and technology that will be provocative to anyone interested in how analytics have already transformed the worlds of finance, medicine and sports. But at heart it is a celebration of books for readers and writers—a compelling investigation into how successful writing works, and a fresh take on our intellectual and emotional response to stories.

Katherine Yang

Fascinating, super cool, readable! Haven't read many bestseller books at all, but am now feeling inspired to check out, for myself, the evidence of the conclusions drawn by Archer and Jockers.

The Bestseller Code

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