Augmented Collective Intelligence
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Augmented Collective Intelligence
Technology enables all of us to know more than any of us
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Syllabus | Social Media Classroom

This course introduces the intellectual framework for augmented collective intelligence, from the invention of writing to the emergence of global multimedia networks, and, in parallel, introduces online practices that can extend the knowledge-gathering and sense-making capabilities of individuals and groups.

The digital media and networks billions use today were originally conceived as tools for augmenting human intellect and supporting collective intelligence in service of solving civilization-threatening problems. Although the dark sides of social media behavior, surveillance capitalism, and consumer culture have occluded the view of these original motivations, tools and techniques for using digital media to amplify minds and communities exist -- although methods for using them are not widely taught.  
Howard Rheingold's insight:

Tools for groups to exercise their collective intelligence abound. This course introduces the use of social bookmarking & curation tools as collective intelligence methods -- along with a foundational knowledge of intellectual augmentation.

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Essay of the Day: Collective Intelligence and Neutral Point of View in the Case of Wikipedia

Howard Rheingold's insight:

Augmented collective intelligence depends on technological amplification of the ability of humans to think, communicate, and work together -- and upon the norms, methods, and institutions that humans create to overcome social dilemmas. Wikipedia's Neutral Point of View is a perfect example of this kind of techno-social arrangement.

Paz Barceló's curator insight, November 18, 2013 6:18 AM

Sobre los límites de la inteligencia colectiva.

luiy's curator insight, November 18, 2013 9:06 AM

We examine whether collective intelligence helps achieve a neutral point of view (NPOV) using data from Wikipedia’s articles on US politics. Our null hypothesis builds on Linus’ Law, often expressed as “Given enough eyeballs, all bugs are shallow.” Our findings are consistent with a narrow interpretation of Linus’ Law, namely, a greater number of contributors to an article makes an article more neutral. No evidence supports a broad interpretation of Linus’ Law. Moreover, several empirical facts suggest the law does not shape many articles. The majority of articles receive little attention, and most articles change only mildly from their initial slant. Our study provides the first empirical evidence on the limit of collective intelligence. While many managers believe that they could improve their products by taking advantage of the wisdom of crowds, we show that in the case of Wikipedia, there are aspects such as NPOV that collective intelligence does not help achieve successfully.