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The Tokyo Times referred to J Rice's subsequently produced "We Pray for You" video, involving largely the same participants as were in Lavie's video, as an example of a trend to use crowdsourcing for charitable purposes. [129] Wikipedia is often cited as a successful example of crowdsourcing, [130] despite objections by co-founder Jimmy Wales ...
Crowd computing is a form of distributed work where tasks that are hard for computers to do, are handled by large numbers of humans distributed across the internet.. It is an overarching term encompassing tools that enable idea sharing, non-hierarchical decision making and utilization of "cognitive surplus" - the ability of the world’s population to collaborate on large, sometimes global ...
Around the App Store, there are many community-based, collaborative platforms for the smart-phone applications incubators. For example, AppStori introduces a crowd funding approach to build an online community for developing promising ideas about new iPhone applications. IdeaScale is another platform for software crowdsourcing. [5]
OpenStreetMap is an example of crowdsourced mapping project. [34] Engineering — Many companies are introducing crowdsourcing to grow their engineering capabilities and find solutions to unsolved technical challenges and the need to adopt newest technologies such as 3D printing and the IOT. [citation needed]
Crowdshipping, sometimes referred to as crowd logistics, [1] applies the concept of crowdsourcing to the personalized delivery of freight.Crowdshipping can be conceived as an example of people using social networking to behave collaboratively and share services and assets for the greater good of the community, as well as for their own personal benefit.
When using Smart Camera, the user can point the devices camera to an object, similar to how Google Lens is used. A dialogue opens when an item is detected. The app then says what it thinks it sees. The user can then confirm or deny this description. If the user confirms, the photo will be uploaded and you return to the beginning.
Crowdsensing, sometimes referred to as mobile crowdsensing, is a technique where a large group of individuals having mobile devices capable of sensing and computing (such as smartphones, tablet computers, wearables) collectively share data and extract information to measure, map, analyze, estimate or infer (predict) any processes of common interest.
For example, Trebor Scholz has argued that labor exploitation is a systemic feature of crowdsourced platforms such as Amazon's Mechanical Turk. [ 19 ] In the 2010s, the concept of platformization evolved from describing platforms as static entities to viewing them as part of a larger process of digital transformation.