Crowdsourcing

“The amount of knowledge and talent dispersed among the human race has always outstripped our capacity to harness it. Crowdsourcing ­corrects that—but in doing so, it also unleashes the forces of creative destruction.” —From Crowdsourcing First identified by journalist Jeff Howe in a June 2006 Wired article, “crowdsourcing” describes the process by which the power of the many can be leveraged to accomplish feats that were once the province of the specialized few. Howe reveals that the crowd is more than wise—it’s talented, creative, and stunningly productive. Crowdsourcing activates the transformative power of today’s technology, liberating the latent potential within us all. It’s a perfect meritocracy, where age, gender, race, education, and job history no longer matter; the quality of work is all that counts; and every field is open to people of every imaginable background. If you can perform the service, design the product, or solve the problem, you’ve got the job. But crowdsourcing has also triggered a dramatic shift in the way work is organized, talent is employed, research is conducted, and products are made and marketed. As the crowd comes to supplant traditional forms of labor, pain and disruption are inevitable. Jeff Howe delves into both the positive and negative consequences of this intriguing phenomenon. Through extensive reporting from the front lines of this revolution, he employs a brilliant array of stories to look at the economic, cultural, business, and political implications of crowdsourcing. How were a bunch of part-time dabblers in finance able to help an investment company consistently beat the market? Why does Procter & Gamble repeatedly call on enthusiastic amateurs to solve scientific and technical challenges? How can companies as diverse as iStockphoto and Threadless employ just a handful of people, yet generate millions of dollars in revenue every year? The answers lie within these pages. The blueprint for crowdsourcing originated from a handful of computer programmers who showed that a community of like-minded peers could create better products than a corporate behemoth like Microsoft. Jeff Howe tracks the amazing migration of this new model of production, showing the potential of the Internet to create human networks that can divvy up and make quick work of otherwise overwhelming tasks. One of the most intriguing ideas of Crowdsourcing is that the knowledge to solve intractable problems—a cure for cancer, for instance—may already exist within the warp and weave of this infinite and, as yet, largely untapped resource. But first, Howe proposes, we need to banish preconceived notions of how such problems are solved. The very concept of crowdsourcing stands at odds with centuries of practice. Yet, for the digital natives soon to enter the workforce, the technologies and principles behind crowdsourcing are perfectly intuitive. This generation collaborates, shares, remixes, and creates with a fluency and ease the rest of us can hardly understand. Crowdsourcing, just now starting to emerge, will in a short time simply be the way things are done.

With the growth of information technology, many new communication channels and platforms have emerged. This growth has advanced the work of crowdsourcing, allowing individuals and companies in various industries to coordinate efforts on different levels and in different areas. Providing new and unique sources of knowledge outside organizations enables innovation and shapes competitive advantage. Crowdsourcing: Concepts, Methodologies, Tools, and Applications is a collection of innovative research on the methods and applications of crowdsourcing in business operations and management, science, healthcare, education, and politics. Highlighting a range of topics such as crowd computing, macrotasking, and observational crowdsourcing, this multi-volume book is ideally designed for business executives, professionals, policymakers, academicians, and researchers interested in all aspects of crowdsourcing.

A concise introduction to crowdsourcing that goes beyond social media buzzwords to explain what crowdsourcing really is and how it works. Ever since the term “crowdsourcing” was coined in 2006 by Wired writer Jeff Howe, group activities ranging from the creation of the Oxford English Dictionary to the choosing of new colors for M&Ms have been labeled with this most buzz-generating of media buzzwords. In this accessible but authoritative account, grounded in the empirical literature, Daren Brabham explains what crowdsourcing is, what it is not, and how it works. Crowdsourcing, Brabham tells us, is an online, distributed problem solving and production model that leverages the collective intelligence of online communities for specific purposes set forth by a crowdsourcing organization—corporate, government, or volunteer. Uniquely, it combines a bottom-up, open, creative process with top-down organizational goals. Crowdsourcing is not open source production, which lacks the top-down component; it is not a market research survey that offers participants a short list of choices; and it is qualitatively different from predigital open innovation and collaborative production processes, which lacked the speed, reach, rich capability, and lowered barriers to entry enabled by the Internet. Brabham describes the intellectual roots of the idea of crowdsourcing in such concepts as collective intelligence, the wisdom of crowds, and distributed computing. He surveys the major issues in crowdsourcing, including crowd motivation, the misconception of the amateur participant, crowdfunding, and the danger of “crowdsploitation” of volunteer labor, citing real-world examples from Threadless, InnoCentive, and other organizations. And he considers the future of crowdsourcing in both theory and practice, describing its possible roles in journalism, governance, national security, and science and health.

Whether we need to make better financial choices, find the love of our life, or transform our career, crowdsourcing is the key to making quicker, wiser, more objective decisions. But few of us even come close to tapping the full potential of our online personal networks. Lior Zoref offers proven guidelines for applying what he calls "mind sharing" in new ways. For instance, he shows how a mother's Facebook update saved the life of a four-year-old boy, and how a manager used LinkedIn to create a year's worth of market research in less than a day. Zoref's clients are using his techniques to innovate and problem-solve in record time. Now he reveals how crowdsourcing has the ability to supercharge our thinking and upgrade every aspect of our lives.

This open access book examines the implications of internal crowdsourcing (IC) in companies. Presenting an employee-oriented, cross-sector reference model for good IC practice, it discusses the core theoretical foundations, and offers guidelines for process-management and blueprints for the implementation of IC. Furthermore, it examines solutions for employee training and competence development based on crowdsourcing. As such, the book will appeal to scholars of management science, work studies, organizational and participation research and to readers interested in inclusive approaches for cooperative change management and the IT implications for IC platforms.

Academic Crowdsourcing in the Humanities lays the foundations for a theoretical framework to understand the value of crowdsourcing, an avenue that is increasingly becoming important to academia as the web transforms collaboration and communication and blurs institutional and professional boundaries. Crowdsourcing projects in the humanities have, for the most part, focused on the generation or enhancement of content in a variety of ways, leveraging the rich resources of knowledge, creativity, effort and interest among the public to contribute to academic discourse. This book explores methodologies, tactics and the "citizen science" involved. Addresses crowdsourcing for the humanities and cultural material Provides a systematic, academic analysis of crowdsourcing concepts and methodologies Situates crowdsourcing conceptually within the context of related concepts, such as ‘citizen science’, ‘wisdom of crowds’, and ‘public engagement’

Open innovation and crowd sourcing are the hottest topics in strategy and management today. The concept of capturing ideas in a hub of collaboration, together with the outsourcing of tasks to a large group of people or community is a revolution that is rapidly changing our culture. A Guide to Open Innovation and Crowdsourcing explains how to use the power of the internet to build and innovate in order to introduce a consumer democracy that has never existed before. If a business fails to embrace it, it is at risk of being left behind. Written by an international team of eminent thinkers, writers and practitioners in the field, A Guide to Open Innovation and Crowdsourcing covers the definition of open innovation, how to manage virtual teams and co-create with customers, how to overcome legal and IP issues and common mistakes and pitfalls to avoid. With corporate case studies and best practice advice, A Guide to Open Innovation and Crowd Sourcing is a vital read for anyone who wants to find innovative products and services from outside their organizations, make them work and overcome the practical difficulties that lie in the way.

Many data-intensive applications that use machine learning or artificial intelligence techniques depend on humans providing the initial dataset, enabling algorithms to process the rest or for other humans to evaluate the performance of such algorithms. Not only can labeled data for training and evaluation be collected faster, cheaper, and easier than ever before, but we now see the emergence of hybrid human-machine software that combines computations performed by humans and machines in conjunction. There are, however, real-world practical issues with the adoption of human computation and crowdsourcing. Building systems and data processing pipelines that require crowd computing remains difficult. In this book, we present practical considerations for designing and implementing tasks that require the use of humans and machines in combination with the goal of producing high-quality labels.