The rise of the "information society" offers not only considerable peril but also great promise. Beset from all sides by a never-ending barrage of media, how can we ensure that the most accurate information emerges and is heeded?
In this book, Cass R. Sunstein develops a deeply optimistic understanding of the human potential to pool information, and to use that knowledge to improve our lives.
In an age of information overload, it is easy to fall back on our own prejudices and insulate ourselves with comforting opinions that reaffirm our core beliefs. Crowds quickly become mobs. The justification for the Iraq war, the collapse of Enron, the explosion of the space shuttle Columbia - all of these resulted from decisions made by leaders and groups trapped in "information cocoons", shielded from information at odds with their preconceptions. How can leaders and ordinary people challenge insular decision making and gain access to the sum of human knowledge?
Stunning new ways to share and aggregate information, many Internet-based, are helping companies, schools, governments, and individuals not only to acquire, but also to create, ever-growing bodies of accurate knowledge. Through a ceaseless flurry of self-correcting exchanges, wikis, covering everything from politics and business plans to sports and science-fiction subcultures, amass--and refine--information. Open-source software enables large numbers of people to participate in technological development. Prediction markets aggregate information in a way that allows companies, ranging from computer manufacturers to Hollywood studios, to make better decisions about product launches and office openings. Sunstein shows how people can assimilate aggregated information without succumbing to the dangers of the herd mentality.
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How can an error of few becomes errors of many
Infotopia ranks high among the books I have listened because it is written in research-like style and has practical implications one can use and understand. Mainly the author shows the distinction between reviews/conclusions which can be based on illusion of very few but expressed by many and data analyzed by many leading sometimes to different conclusions but then still rational. The question to be partially answered is how to separate what to believe and stop the research to make an assessment from what is not original and based on someone else's ideas and represent no value in helping to understand the issue.
Ok, should have been two hours