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Trusting the Crowd in a Geospatial Crowdsourcing Application

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Trusting the Crowd in a Geospatial Crowdsourcing Application
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188
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Production Year2014
Production PlacePortland, Oregon, United States of America

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Abstract
Crowdsourcing is known as a way to gather information and data from the general public. In last few years crowdsourcing has become the cheapest and one of the most efficient ways to gather data. With the increased availability of smartphones and smart devices, the general public carries a communication device with increasing computational resources, which can also carry a lot of information. With Web 2.0 the access to internet has become simpler and easier.The crowdsourcing application, we have developed is a rating system that incorporates trust into the application. It works by gathering data of the busyness of hangout places from the crowd, specified in terms of a rating of the busyness of the establishment. The data gathered is shown back to the public using modified ratings and the trustworthiness of those ratings. Ratings are shown in real-time and on a map. The end-user platform for which the application is built includes Android and the web.HTML5 and PHP have been used for designing the main web page which works on any end user platform. JavaScript is used to display base maps from OpenStreetMap and Google servers.PHPMyAdmin is used to manage the MySQL Database. Java was used to program the front end of the application.The dots on the map range from small to large, with a small icon indicating a quiet place and the largest icon indicating a busy place. The trust rating shows our confidence in the rating of busyness, using an algorithm that produces a result ranging from 0% to 100%.
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