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BETA

VJ Um Amel developed R-Shief BETA as part of her MFA thesis in Digital Arts and New Media from UCSC in 2009. R-Shief BETA is a bilingual platform serving as a test bed for social media data mining and open source big data research. 

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V1

In June 2011, R-Shief V1 launched as a fully fledged platform for research and visualization of social media in the Middle East and beyond. This platform contributed to a community of FOSS activists.

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V2

With a sleek re-design in 2012,

R-Shief V2 evolved into a featured web-app for visualizing what had since become an expansive multi-origin social media archive. V2 produced real-time visualization of big data using swarm computing.

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V3

In November 2014, R-Shief V3 launched software allowing full and free public access to its historic social media archive and analytics in over seventy languages, including its Search API, Real-Time Visualizer, Arabic Text Analyzer, and Instagram Geolocator.

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V4

In 2017, R-Shief V4 enabled multiple users to create their own collections of data in relation to topics/ keywords/ hashtags of their choice. This cloud-computing application stack we called kal3a archived over thirty billion tweets in over seventy languages.