Showing posts with label collective intelligence. Show all posts
Showing posts with label collective intelligence. Show all posts

Blogs. Wikipedia. Second Life. and Beyond (Digital Formations) Review

Blogs. Wikipedia. Second Life. and Beyond (Digital Formations)
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Blogs. Wikipedia. Second Life. and Beyond (Digital Formations) ReviewI read this book as part of my graduate studies in communication at the University of Utah. I stumbled upon the author, but when I read this book, I knew I was on to something.
Bruns covers a lot of ground in this book, providing a good overview of the current state of online information production. The book focuses on collaborative information production and how this is disrupting "industrial" forms of content creation. Anyone familiar with Bruns' previous book, "Gatewatching," will find this book to be an excellent extension of that work.
Bruns' key discussion in "Blogs, Wikipedia, Second Life, and Beyond" is how the audience has moved from users to "produsers," a term he coined. Scholars and general observers alike will find his analysis helpful and well written. Most of the book is composed of insightful case studies. It's definitely worth a look.Blogs. Wikipedia. Second Life. and Beyond (Digital Formations) Overview

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Privacy and Big Data Review

Privacy and Big Data
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Privacy and Big Data ReviewI found this book a real eye-opener. It is more than likely a quick read if you purchased the paperback, but I had the digital version (94 pages), in which all references (and there are a lot of references) are clickable. Which makes it too easy to get lost in all additional information. I think most of us, in our haste to "get to the content", rationalize that it is only an email, birthday, or zipcode and that's no big deal. If we only knew what was really going on. That is where this book comes in, in a big way. I feel that Terrence and Mary did a great job in presenting the "facts", each covering their share of a wide spectrum of (global) opinions, in respect to their own views. They actually share their own point of view at the end of the book, which an attentive reader would catch a hints of throughout the book. As for me, I was too caught up in disbief in how our data is actually being used. I can see why it's an absolute gold mine for big businesses, governments and the like. The Internet truly is the modern version of the wild, wild west, and though there are those who would try to regulate it, there is just too much data already out there. In fact, both authors are pretty much in agreement on this point, "Once your information is out there, it is too hard to control who uses it, and what it's really used for..." (paraphrased). I would say this is a great read, I loved it, and it leaves me wanting more (information, that is). At the very least, the readers of this book will be MORE aware.Privacy and Big Data Overview

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Collective Intelligence in Action Review

Collective Intelligence in Action
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Collective Intelligence in Action ReviewI was recently asked by the publisher to review Collective Intelligence in Action. The author is Satnam Alag, a Bay area engineer with a Ph.D. from the University of California, Berkeley. Dr. Alag is VP of NextBio, a specialized search engine.
The first chapter is free and so is the source code used in the book.
The book is for Java developers who want to implement "Collective Intelligence" applications in Java. It tells us about extracting and applying data from blogs, wikis and social network applications. I am not one to praise, but this book succeeds brilliantly. If you are a Java engineer and work with Web technologies, you must get this book. It covers topics such as computing similarity measures using vector models, Nai've Bayes Classifiers, inverse document frequency (idf), Machine Learning (using the Weka API), building a crawler with regular expressions, collaborative filtering (with links to open source tools), and so on.
Even if you do not work with Java, if you care for high-end Web applications, this book is for you. It reminds me of Lyon's Java¿ Digital Signal Processing book. It offers the gist of what academia knows, but focuses on what people (engineers and researchers) do in practise.
The book is not meant for academia however. There are references, but no theorem.
Disclaimer. I did not get paid to review this book, and I do not stand to gain anything if you buy the book. I have no relationship with the publisher or the author.
Further reading. A competing book is Programming Collective Intelligence: Building Smart Web 2.0 Applications by Toby Segaran. It uses Python instead of Java.Collective Intelligence in Action Overview

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