by Kevin Dodds In 2010, the Association for Computing Machinery (ACM) posited the three conditions that would make crowdsourcing a common, everyday process. Over the last five years crowdsourcing has matured a lot, and it seems these three conditions have ... Read more
posted by Shyamali Ghosh on February 2, 2015
by Selene Arrazolo The Data Day Texas conference in Austin once again brought together hundreds of folks in the Texas big data community for one data-filled day. Here are the presentations that we thought were “best of show.” Lisa Green, ... Read more
posted by Shyamali Ghosh on January 26, 2015
by Kevin Dodds Crowdsourcing can be a difficult concept to understand. The rise of “private” crowds would seem to muddy the waters even further, but this emerging phenomenon is worth a closer look. Workers participating in labor marketplaces like the ... Read more
posted by Shyamali Ghosh on August 21, 2014
by Elizabeth Lovero Quality control is one of the biggest challenges facing data management firms, especially those that rely on crowdsourced resources for some or all of their production. In an effort improve worker skills and accuracy for crowdsourced projects, ... Read more
posted by Shyamali Ghosh on August 11, 2014
by Kevin Dodds Like any language, crowdsourcing jargon has morphed over time. Some terms have been around for years and are very familiar, while others are relatively new and reflect crowdsourcing’s ongoing evolution. Here are some must-know terms for talking ... Read more
posted by Shyamali Ghosh on April 8, 2014
by Matt Manning Now that the frenzy of South By Southwest Interactive has settled down, we wanted to share some of the new types of projects that emerged in the first quarter of 2014. Crowdsourced Image Analysis: Using the crowd ... Read more
posted by Shyamali Ghosh on March 30, 2014
by Kevin Dodds In crowdsourcing, cheating is a common problem, and it’s a two-way street: requesters can manipulate and deceive workers just as workers can con a requester. Everyone involved needs to be creative and cautious to avoid getting taken. ... Read more
posted by Shyamali Ghosh on March 24, 2014
by Kevin Dodds Recently, CrowdFlower blogged about de-duplicating records in a merged CRM database using crowdsourcing. The article suggested that this kind of data is often too wildly divergent to be de-duped automatically. At IEI, we’ve found: Most CRM data ... Read more
posted by Shyamali Ghosh on December 16, 2013
This tool from Crowd Computing Systems automates crowdsourcing projects. We use it at IEI to run campaigns on the Amazon Mechanical Turk, the world’s largest crowdsourcing platform. (More on WorkFusion.) We use WorkFusion for a variety of processes. It works ... Read more
posted by Shyamali Ghosh on October 25, 2013
by Kevin Dodds There are two primary ways to use managed crowdsourcing to collect data: result consensus analysis, and the creation of semi-private crowds. Consensus Analysis For clearly defined, “only one answer” questions—any piece of data where the format is ... Read more
posted by Shyamali Ghosh on February 12, 2013