Crowd-Sourced Sensing and Collaboration Using Twitter

This 2010 article focuses on crowd sourced information and particularly the use of sensing and collaboration applications for crowdsourcing on Twitter. The authors design and implement a crowd-sourced sensing and collaboration system over Twitter, and showcase their systems within the context of two applications: a crowd-sourced weather radar, and a participatory noise-mapping application. The results of these exercises from real-world Twitter experiments give insights into the feasibility of their approach and the research challenges of sensor and collaboration smartphone applications on Twitter. The paper was presented at the World of Wireless Mobile and Multimedia Networks (WoWMoM), 2010 IEEE International Symposium in Montreal, Canada.

This article will be of use to researchers and practitioners interested in crowdsourcing information on Twitter. While the resource is somewhat dated given its 2010 publication date, the methods, results, questions and challenges highlighted by the authors will still be of use to those planning similar crowdsourcing projects today.

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