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The Bestseller Code
What if an algorithm could predict which manuscripts would become mega-bestsellers? Girl on the Train. Fifty Shades. The Goldfinch. Why do some books capture the whole world's attention? What secret DNA do they share? In The Bestseller Code, Archer and Jockers boldly claim that blockbuster hits are highly predictable, and they have created 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.
The Bestseller Code
"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 crystal balls. The sales figures of E. L. James or Dan Brown seem to be freakish—random occurrences in an unknowable market. 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...
Becoming Bestsellers: John Grisham and Danielle Steel (Sample from Chapter 2 of THE BESTSELLER CODE)
This sneak peek teaser - featuring literary giants John Grisham and Danielle Steele - from Chapter 2 of The Bestseller Code, a groundbreaking book about what a computer algorithm can teach us about blockbuster books, stories, and reading, reveals the importance of topic and theme in bestselling fiction according to percentages assigned by what the authors refer to as the “bestseller-ometer.” Although 55,000 novels are published every year, only about 200 hit the lists, a commercial success rate of less than half a percent. When the computer was asked to “blindly” select the most likely bestsellers out of 5,000 books published over the past thirty years based only on theme, it discove...
I Say Tomato
Updated for 2018. This book raises money for two cancer charities.Can we all learn mediumship? Can each of us potentially prove the afterlife?She was a scholarship academic, an expat in America. He was a dead world famous movie star. They were unknown to each other. In the small college town of Ithaca, New York, over five weeks in 2010, Jodie Archer met the late actor Patrick Swayze. He had died in September 2009. His mission was to make her a medium and convince her to tell the world. This is the story.Told with emotional honesty and a commitment to sharing the all details of learning mediumship, I Say Tomato is a fascinating account of the afterlife. It offers a compelling case that we can all develop the skills to touch the other side.I went from non-believer to ardent supporter and advocate for life after death in one breath-taking week with her in California." Sue Parker, Author of Chasing Shadows: A Mother's Attempt to Process her Grief"She operates from an unparalleled core of authenticity. Jodie does not shirk the responsibility of her gift and the world is immeasurably blessed because of it." Alix Lindblom, In Bloom Wellness
Dragon Mine
"I loved everything about Dragon Mine, from the scorching first chapter to the epic worldbuilding. It’s my new favorite Donna Grant novel! All hail Donna Grant, the Dragon Queen!" — New York Times bestselling author Larissa Ione Walk with New York Times and USA Today bestselling author Donna Grant through the doorway into the next engaging installment of her captivating new Dragon Kings series… I am hers, and she is mine… Vaughn has spent eons searching for the woman who captured his heart, only to be disappointed time and again. Sure, he sees her in his dreams. May get to touch and hold her. But it’s not the same. As the emptiness inside him grows, he jumps at the chance for a dis...
Distant Horizons
Just as a traveler crossing a continent won’t sense the curvature of the earth, one lifetime of reading can’t grasp the largest patterns organizing literary history. This is the guiding premise behind Distant Horizons, which uses the scope of data newly available to us through digital libraries to tackle previously elusive questions about literature. Ted Underwood shows how digital archives and statistical tools, rather than reducing words to numbers (as is often feared), can deepen our understanding of issues that have always been central to humanistic inquiry. Without denying the usefulness of time-honored approaches like close reading, narratology, or genre studies, Underwood argues that we also need to read the larger arcs of literary change that have remained hidden from us by their sheer scale. Using both close and distant reading to trace the differentiation of genres, transformation of gender roles, and surprising persistence of aesthetic judgment, Underwood shows how digital methods can bring into focus the larger landscape of literary history and add to the beauty and complexity we value in literature.
Reflections on Artificial Intelligence for Humanity
We already observe the positive effects of AI in almost every field, and foresee its potential to help address our sustainable development goals and the urgent challenges for the preservation of the environment. We also perceive that the risks related to the safety, security, confidentiality, and fairness of AI systems, the threats to free will of possibly manipulative systems, as well as the impact of AI on the economy, employment, human rights, equality, diversity, inclusion, and social cohesion need to be better assessed. The development and use of AI must be guided by principles of social cohesion, environmental sustainability, resource sharing, and inclusion. It has to integrate human r...
Everyday Chaos
Chaos and complexity explained, with illuminating examples ranging from unpredictable pendulums to London's wobbly Millennium Bridge. The math we are taught in school is precise and only deals with simple situations. Reality is far more complex. Trying to understand a system with multiple interacting components—the weather, for example, or the human body, or the stock market—means dealing with two factors: chaos and complexity. If we don't understand these two essential subjects, we can't understand the real world. In Everyday Chaos, Brian Clegg explains chaos and complexity for the general reader, with an accessible, engaging text and striking full-color illustrations. By chaos, Clegg m...
The Novel as Network
The Novel as Network: Forms, Ideas, Commodities engages with the contemporary Anglophone novel and its derivatives and by-products such as graphic novels, comics, podcasts, and Quality TV. This collection investigates the meaning of the novel in the larger system of contemporary media production and (post-)print culture, viewing the novel through the lens of actor network theory as a node in the novel network. Chapters underscore the deep interconnection between all the aspects of the novel, between the novel as a (literary) form, as an idea, and as a commodity. Bringing together experts from American, British, and Postcolonial Studies, as well as Book, Publishing, and Media Studies, this collection offers a new vantage point to view the novel in its multifaceted expressions today.
Código BestSeller
Lo que un innovador algoritmo puede enseñarnos sobre los libros, las historias y la lectura. "¿Y si el éxito de E.L. James y Dan Brown no fuera tan aleatorio? ¿Y si hubiera un algoritmo que pudiera descubrir el ADN de un bestseller oculto en estos libros antes de ser publicados? Esta es la audaz afirmación hecha por Jodie Archer y Matthew Jockers ... Inteligente, perspicaz y llena de ideas" - Fiona Wilson, The Times "La chica del tren", "Cincuenta sombras de Grey"... ¿Por qué algunos libros capturan la atención de todo el mundo? En "Código Bestseller", los autores sostienen que no solo se pueden explicar e identificar los mega-éxitos, sino que han construido el algoritmo para demos...
