Examples of using Human computation in English and their translations into Hindi
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Colloquial
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Ecclesiastic
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Ecclesiastic
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Computer
Human computation projects take a big problem;
Galaxy Zoo shows the evolution of many human computation projects.
Computer-assisted human computation systems also use machine learning in order to amplify the human effort.
Galaxy Zoo is a good illustration of how many human computation projects evolve.
Human computation projects are ideally suited for easy-task-big-scale problems such as labeling a million images.
How does this impact your thoughts about the design, quality, and ethics of human computation projects?
This comparison shows that, as with Galaxy Zoo, human computation projects can produce high-quality results.
The work of Banerji and colleagues turned Galaxy Zoo into what I would call a computer-assisted human computation system.
Human computation projects are ideally suited for easy-task-big-scale problems such as labeling a million images.
According to the definition proposed in Ahn(2005)Foldit- which I described in the section on open calls- could be considered a human computation project.
Second, by some definitions of human computation(e.g., Ahn(2005)), Foldit should be considered a human computation project.
The term“split-apply-combine” was used by Wickham(2011) to describe a strategy for statistical computing,but it perfectly captures the process of many human computation projects.
Second, by some definitions of human computation(e.g., Von Ahn(2005)), FoldIt should be considered a human computation project.
Human computation projects take a big problem, break it into simple pieces, send them to many workers, and then aggregate the results.
However, Benoit and colleagues were able to use their human computation system to do this coding- customized to their research question- quickly and easily.
Human computation projects combine the efforts of many people working on simple microtasks in order to solve problems that are impossibly big for one person.
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.
In the human computation problems described in the previous section, the researchers knew how to solve the problems given sufficient time.
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.
Human computation projects combine the efforts of many people working on simple micro-tasks in order to solve problems that are impossibly big for one person.
In the end, the quality of the output of human computation projects rests on the quality of the inputs that the human participants provide: garbage in, garbage out.
In other words, human computation enabled them to generate coding of political texts that agreed with expert evaluations and was reproducible.
The advantage of this computer-assisted human computation system is that it enables you to handle essentially infinite amounts of data using only a finite amount of human effort.
In other words, human computation enabled them to generate coding of political texts that agreed with expert evaluations and was reproducible.
At that point, researchers need to build a computer-assisted human computation system in which human classifications are used to train a machine learning model that can then be applied to virtually unlimited amounts of data.
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.
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.
Also, social networks and human computation have brought new applications to natural language processing(NLP), mobile computing, multimedia, data mining, and human-centered computing.
Galaxy Zoo, and other human computation projects, use a split-apply-combine strategy(Wickham 2011), and once you understand this strategy you will be able to use it to solve lots of problems.
I call this a computer-assisted human computation project because, rather than having humans solve a problem, it has humans build a dataset that can be used to train a computer to solve the problem.