Examples of using Human computation in English and their translations into Finnish
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Human computation section 5.2.
Turned Galaxy Zoo into what I would call a second-generation human computation system.
Human computation, open call, and distributed data collection.
Here's how Luis von Ahn(2005) described human computation when he first coined the term in his dissertation.
Human computation, open call, and distributed data collection Figure 5.1.
Finally, the examples in this section show that human computation can have a democratizing impact on science.
Human computation projects are ideally suited for easy-task-big-scale problems such as labeling a million images.
This comparison shows that,as with Galaxy Zoo, human computation projects can produce high quality results.
Two clever human computation projects that I did not have space to discuss are the ESP Game(Ahn and Dabbish 2004) and reCAPTCHA Ahn et al.
If this approach does not scale well,the researcher can move to a human computation project where many people contribute classifications.
Second generation human computation systems also use machine learning in order to amplify the human effort.
Coding political manifestos, something typically done by experts,can be performed by a human computation project resulting in greater reproducibility and flexibility.
For example, in the human computation project described below, the same recipe will be followed, but the apply and combine steps will be quite different.
Kenneth Benoit and colleagues(2015)decided to take the manifesto coding task that had previously been performed by experts and turn it into a human computation project.
Second, by some definitions of human computation(e.g., Von Ahn(2005)),FoldIt should be considered a human computation project.
Human computation projects combine the work of many non-experts to solve easy-task-big-scale problems that are not easily solved by computers.
This table shows that, unlike Galaxy Zoo,many other human computation projects use micro-task labor markets e.g., Amazon Mechanical Turk.
A classic example of a human computation project is Galaxy Zoo, where a hundred thousand volunteers helped astronomers classify a million galaxies.
For researchers planning to use a micro-task labor market(e.g., Amazon Mechanical Turk) for a human computation project, Chandler, Paolacci, and Mueller(2013) and Wang, Ipeirotis, and Provost(2015) offer good advice on task design and other related issues.
In other words, human computation enabled them to generate coding of political texts that agreed with expert evaluations and was reproducible.
Researchers interested in creating what I have called second generation human computation systems(e.g., systems that use human labels to train a machine learning model) might be interested in Shamir et al.
In other words, human computation enabled them to generate coding of political texts that agreed with expert evaluations and was reproducible.
Researchers interested in creating what I have called computer-assisted human computation systems(e.g., systems that use human labels to train a machine learning model) might be interested in Shamir et al.
Further, because the human computation was quick and cheap, it was easy for them to customize their data collection to their specific research question about immigration.
For example, any researcher creating a human computation project on a micro-task labor market(e.g., Amazon Mechanical Turk) is going to motivate participants with money.
Further, because the human computation was quick and cheap, it was easy for them to customize their data collection to their specific research question about immigration.
In social research, human computation projects are most likely to be used in situations where researchers want to classify, code, or label images, video, or texts.
First, one way that I distinguish between human computation and open call projects is whether the output is an average of all the solutions(human computation) or the best solution open call.
First, one way that I distinguish between human computation andopen call projects is whether the output is an average of all the solutions(human computation) or the best solution open call.