Search (2 results, page 1 of 1)

0.016810594 = sum of:
  0.006068501 = product of:
    0.036411006 = sum of:
      0.036411006 = weight(_text_:authors in 2392) [ClassicSimilarity], result of:
        0.036411006 = score(doc=2392,freq=4.0), product of:
          0.20446584 = queryWeight, product of:
            4.558814 = idf(docFreq=1258, maxDocs=44218)
            0.044850662 = queryNorm
          0.17807868 = fieldWeight in 2392, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            4.558814 = idf(docFreq=1258, maxDocs=44218)
            0.01953125 = fieldNorm(doc=2392)
    0.16666667 = coord(1/6)
  0.0107420925 = product of:
    0.021484185 = sum of:
      0.021484185 = weight(_text_:22 in 2392) [ClassicSimilarity], result of:
        0.021484185 = score(doc=2392,freq=4.0), product of:
          0.15705937 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.044850662 = queryNorm
          0.13679022 = fieldWeight in 2392, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.01953125 = fieldNorm(doc=2392)
    0.5 = coord(1/2)

Classification

323.44/5 22 (GBV;LoC)

DDC

323.44/5 22 (GBV;LoC)

Footnote

The book also includes an index, a selected bibliography, and endnotes for each article. More information on the authors of the articles would have been useful, however. One of the best features of Information Ethics is the discussion cases at the end of each chapter. For instance, in the discussion cases, Moore asks questions like: Would you allow one person to die to save nine? Should a scientist be allowed to experiment on people without their knowledge if there is no harm? Should marriages between people carrying a certain gene be outlawed? These discussion cases really add to the value of the readings. The only suggestion would be to have put them at the beginning of each section so the reader could have the questions floating in their heads as they read the material. Information Ethics is a well thought out and organized collection of articles. Moore has done an excellent job of finding articles to provide a fair and balanced look at a variety of complicated and far-reaching topics. Further, the work has breadth and depth. Moore is careful to include enough historical articles, like the 1890 Warren article, to give balance and perspective to new and modern topics like E-mail surveillance, biopiracy, and genetics. This provides a reader with just enough philosophy and history theory to work with the material. The articles are written by a variety of authors from differing fields so they range in length, tone, and style, creating a rich tapestry of ideas and arguments. However, this is not a quick or easy read. The subject matter is complex and one should plan to spend time with the book. The book is well worth the effort though. Overall, this is a highly recommended work for all libraries especially academic ones."

0.0052144406 = product of:
  0.010428881 = sum of:
    0.010428881 = product of:
      0.062573284 = sum of:
        0.062573284 = weight(_text_:back in 334) [ClassicSimilarity], result of:
          0.062573284 = score(doc=334,freq=2.0), product of:
            0.26939675 = queryWeight, product of:
              6.006528 = idf(docFreq=295, maxDocs=44218)
              0.044850662 = queryNorm
            0.23227185 = fieldWeight in 334, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              6.006528 = idf(docFreq=295, maxDocs=44218)
              0.02734375 = fieldNorm(doc=334)
      0.16666667 = coord(1/6)
  0.5 = coord(1/2)

Abstract

In this title, a leading philosopher of the internet explains how knowledge and expertise can still work - and even grow stronger - in an age when the internet has made topics simply Too Big to Know. Knowing used to be so straightforward. If we wanted to know something we looked it up, asked an expert, gathered the facts, weighted the possibilities, and honed in on the best answer ourselves. But, ironically, with the advent of the internet and the limitless information it contains, we're less sure about what we know, who knows what, or even what it means to know at all. Knowledge, it would appear, is in crisis. And yet, while its very foundations seem to be collapsing, human knowledge has grown in previously unimaginable ways, and in inconceivable directions, in the Internet age. We fact-check the news media more closely and publicly than ever before. Science is advancing at an unheard of pace thanks to new collaborative techniques and new ways to find patterns in vast amounts of data. Businesses are finding expertise in every corner of their organization, and across the broad swath of their stakeholders. We are in a crisis of knowledge at the same time that we are in an epochal exaltation of knowledge. In "Too Big to Know", Internet philosopher David Weinberger explains that, rather than a systemic collapse, the Internet era represents a fundamental change in the methods we have for understanding the world around us. Weinberger argues that our notions of expertise - what it is, how it works, and how it is cultivated - are out of date, rooted in our pre-networked culture and assumptions. For thousands of years, we've relied upon a reductionist process of filtering, winnowing, and otherwise reducing the complex world to something more manageable in order to understand it. Back then, an expert was someone who had mastered a particular, well-defined domain. Now, we live in an age when topics are blown apart and stitched together by momentary interests, diverse points of view, and connections ranging from the insightful to the perverse. Weinberger shows that, while the limits of our own paper-based tools have historically prevented us from achieving our full capacity of knowledge, we can now be as smart as our new medium allows - but we will be smart differently. For the new medium is a network, and that network changes our oldest, most basic strategy of knowing. Rather than knowing-by-reducing, we are now knowing-by-including. Indeed, knowledge now is best thought of not as the content of books or even of minds, but as the way the network works. Knowledge will never be the same - not for science, not for business, not for education, not for government, not for any of us. As Weinberger makes clear, to make sense of this new system of knowledge, we need - and smart companies are developing - networks that are themselves experts. Full of rich and sometimes surprising examples from history, politics, business, philosophy, and science, "Too Big to Know" describes how the very foundations of knowledge have been overturned, and what this revolution means for our future.