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Panos Ipeirotis was experimenting with crowdsourcing. He wanted to see how well lots of people could identify images. So he posted 25,000 images to Amazon's S3 storage cloud, known for being...
Contributing expert Panos Ipeirotis explains how a lack of anonymity helps oDesk keep its crowdsourcing platform spam-free.
Panos Ipeirotis offers some thoughts on the emergence of API marketplaces and markets for intelligence.
The speakers at the NYC Crowdsourcing Meetup were as follows: John Horton, Staff Economist of oDesk. John talked on issues of matching employers with contractors in an online marketplace....
When you discuss crowdsourcing solutions with people that have not heard the concept before, they tend to ask the question: "Why is crowdsourcing so much cheaper than existing solutions that depend on 'classic' outsourcing?"
One of our experts takes a look at how crowdsourcing might be able to get more people into jobs, even those without experience.
Crunching the numbers to try and decipher how much Amazon's cloud labor platform is worth.
The term crowdsourcing is in fashion. It is being used to describe pretty much everything under the sun today. Unfortunately, the word crowdsourcing is also getting increasingly associated with "getting things done for free," or at least at ultra-cheap prices.
Panos Ipeirotis, NYU Stern presents his research entitled, "Crowdsourcing: Achieving Data Quality with Imperfect Humans" at a Stanford seminar. This is a joint work with Jing Wang...
I have been doing research on the economic impact of product reviews for a while. One thing that we have noticed is that the quality of the reviews can have an impact on product sales, independently of the polarity of the review. A review that is well-written tends to inspire confidence about the product, even if the review is negative. Typically such reviews are perceived as objective and thorough. So, if we have a high-quality, but negative, review this may serve as a guarantee that the negative aspects of the product are not that bad after all.The tutorial consisted of the following subtopics: • Introduction: Human computation and crowdsourcing • Managing quality for simple tasks • Complex tasks using workflows • Task optimization...
I recall a highly talked about presentation (although highly unconventional) by M. Six Silberman whereby he discussed the "Sellers' problems in human computation markets". The basic question: can we protect the workers there from exploitation and from sweatshop salaries? Luis von Ahn posted a similar post on his blog. In the comments of the blog post, someone suggested that the low wages on Mechanical Turk is simply the result of high supply of workers and low demand for their work however I argue that what Amazon Mechanical Turk is today is a market for lemons, following the terminology of Akerlof's famous paper, for which he got the 2001 Nobel prize.
Last week, Newsweek published an article titled The Real Minimum Wage. The results "showed" that Americans are the ones willing to accept the lowest possible salary for working on a task. The conclusion of the article? Americans are more desperate than anyone else in the world. What is the key problem of this study? There are many more US-based workers on Mechanical Turk compared to other nationalities. So, if you have a handful of workers from other countries, and hundreds of workers from the US, you are guaranteed to find more extreme findings for the US. Why? To put it simply, you are searching harder within the US to find small values, compared to the effort placed on other countries.
Some of the findings in this study are as follows: - an increase in the average subjectivity of reviews is associated with an increase in sales for products; - some products like digital...
Can the lack of a public reputation system on Amazon Mechanical Turk be the reason behind the success of current crowdsourcing companies? My analysis points to this conclusion. Unfortunately, this "feature" also leads to a stagnating crowdsourcing market with limited growth potential.
A contentious issue about crowdsourcing, and specifically about Amazon Mechanical Turk, is that wages are very low. It is not uncommon to see effective wages of $1/hr, or even lower. Why is that?
I have argued in the past that Mechanical Turk is an example of a ‘market for lemons’ — good workers are drowning in the anonymity of the crowd. Since the good workers cannot differentiate themselves from bad workers before working on a task, they are doomed to receive the same level of compensation as the bad workers.
A few weeks ago, I was attending the NSF Workshop on Social Networks and Mobility in the Cloud. There, I ran into the NIST definition of cloud computing (PDF).
After reading it, I felt that it would be a nice exercise to transform the definition into something similar for the dual area of "cloud labor" (a.k.a. crowdsourcing).
A deep dive into oDesk's data on the world of work provides some dramatic visualizations of what the crowdsourcing world actually looks like.
In this talk, Panos Ipeirotis discussed the use of crowdsourcing for building robust machine learning models quickly and under budget constraints.
Facebook has taken to hiring engineers through a sort of trial by fire using crowdsourcing site Kaggle. If you want to be a Data Engineer for history's largest social network, all you need to do is sign up and figure out the best path from point A (or in this case, node A) to B across a map of the internet.
A research done by Scientist Panos Ipeirotis from the Leonard N. Stern School of Business, New York shows that from a randomly selected sample of 1000 workers on Mechanical Turks, 340 were...
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