Quality in the crowd

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I’m going to be delving into the topic of quality in the crowd at Crowdsortium on Thursday, September 13, and I figured I’d give a preview of some of the things we’re thinking about at CrowdFlower. Chris and I started CrowdFlower on the premise that we could use smarter statistical analysis to collect high quality… Read more »

REPOST: Training the Cloud with the Crowd: Training A Google Prediction API Model Using CrowdFlower’s Workforce

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NOTE: The following post, by Kevin Cocco, was reposted from the Dialogue Earth blog.   Can a machine be taught to determine the sentiment of a Twitter message about weather? With the data from over 1 million crowd sourced human judgements the goal was to use this data to train a predictive model and use… Read more »

Superbowl Commercials – The Good, The Bad and The Ugly

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With consumers increasingly recording their experiences with brands online, Superbowl XLVI unleashed a trove of valuable consumer data. As the volume increases, though, it becomes harder and harder to sift though the quantities of data. In the words of Brad Jakeman, Chief Creative Officer of Pepsi, Smart listening tools that generate real-time cultural insights and… Read more »