Mohamed, Mostafa and Cullen, Arron ![]() ![]() |
Abstract
The year 2012 witnessed the release of COSMOS (Collaborative Online Social Media Observatory) (Morgan, 2017), the analytic Java application that enables social scientists to collect and analyse Twitter data without previous programming knowl- edge. The main objective of COSMOS is to enable access to social scientists to explore the luxury of the social networks’ big data (i.e. Twitter) with the minimum coding skills required and with a pleas- ant user experience (Burnap et al., 2015). COSMOS has been successful in attracting researchers from around the world to experience the tool’s features. In recent stats, COSMOS 1.5 desktop application has been downloaded 20,000 times from 20 differ- ent countries worldwide, with the UK dominating the downloads by 60%, followed by North America and the EU at 15% and 11%, respectively. Like any software application, it is an ongoing development process, primarily as its core depends on an API third party (i.e. Twitter or similar). Cardiff University’s team led the technical support of COSMOS for years since it was first released and integrated a feedback and log cycle plan to ensure the application was well maintained and up to date. This chapter will discuss the need to upgrade to COSMOS 2.0 and how Cardiff University’s team could collect and analyse the feedback to deliver the most optimum solution to benefit the wider social scientist community. Also, the chapter will highlight the technical challenges and the new features added to COSMOS and the plans for the development of COSMOS 3.0
Item Type: | Book Section |
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Date Type: | Publication |
Status: | Published |
Schools: | Social Sciences (Includes Criminology and Education) |
Publisher: | SAGE Publications Ltd |
ISBN: | 9781529720969 |
Last Modified: | 07 Nov 2022 11:30 |
URI: | https://orca.cardiff.ac.uk/id/eprint/153063 |
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