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News & Insights

News & Insights


Kevin Dodds

Crowdsourcing Platforms

Crowdsourcing platforms give users a suite of tools to administer crowdsourced projects and access an on-demand pool of cloud labor. Social media sentiment analysis, image metadata appending, and data gathering tasks are routinely crowdsourced. Up-front investments are minimal. Other advantages include super-fast turnaround times and vast scalability. Currently, the primary

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Robots v. “the Cogs”

A combination of human resources and automation manage business processes. A loan application, for instance, involves the submission of specified financial documents for analysis, a human-designed algorithm for the review of the data, and human beings to shepherd the process along. Healthcare is another large sector where human beings provide

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HCOMP 2016 Takeaways

Information Evolution was proud to sponsor the recent AAAI Conference on Human Computation and Crowdsourcing. Speakers and presenters from around the world brought deep academic insight into the vast AI training work cloud labor handles for digital economy leaders like Twitter, LinkedIn, Facebook, Google, and WordPress, as well as the

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Cloud Labor

Many businesspeople fear that crowdsourcing – or cloud labor – poses a threat to US jobs and thus our economy. In fact, the opposite is true. Using crowdsourcing to take care of time-consuming research, data collection, and other simple tasks frees skilled employees to focus on higher-value work, increasing employers’

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The Human in the Loop

After half a decade of ever-increasing crowdsourcing volume, IEI has decided to put crowd-centered technology at the center of everything we do. This doesn’t mean that we now only use external crowd workers ‑ on the contrary, our in-house teams continue to grow. It does mean that we are centralizing

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Crowdsourcing: Approaching Ubiquity

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 now been met. These are the three requirements the authors suggested. 1. What

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Crowdsourced v. User-Generated

Large media companies are moving away from paying in-house staff to create proprietary online content and favoring two lower-cost models for content creation — user-generated content (UGC) and crowdsourcing-generated content (CGC). Since these two approaches are often confused with each other, it’s worth looking more closely at the real differences

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The Crowded Call Center

It’s expensive to staff a call center with full-time, highly trained callers. There are also substantial upfront and ongoing costs for technology—routing, dialers, headsets, etc. When you add the fact that projects are often seasonal and need both lightning-fast execution and high-quality results, managing telephone-based projects can seem almost impossible.

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The Crowd Within

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 Amazon Mechanical Turk or eLance are members of “public” crowds that almost anyone

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Data Provenance

We manage a lot of data at IEI and, more often than not, I find that the key to cleaning up and improving the data we get lies in where the data came from in the first place – in other words, its “provenance.” Data “sources” roughly fall into these

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Have a data challenge? IEI has probably seen it, analyzed it and solved it before.

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