Date: June 9, 2009

Category: Software

Tags: Arabic archive R-Shief software

In 2009, I built the original R-Shief to collect, analyze, and visualize social media content, which harvested over 70 billion posts in 72 languages. R-Shief would become a repository of multiple social movements from Occupy Wall Street to the 2011 Arab Uprisings. In its first years, R-Shief rapidly grew into a complex media system enabling me to collect and analyze data from social networking sites and to innovate machine learning software. Using its immense data repository, I developed one of the earliest detection algorithms that recognized language from the series of characters in a tweet.

In 2015, I launched Kal3a (the Arabic word for castle), an application stack that supports the R-Shief Trends Widget, Search API, the Historical Hashtag Visualizer, and Real-time Visualizer. And in 2015, I launched the Arabic Text Analysis API that displays various occurrences of Arabic words in Wikipedia. These open software programs are available on Github.

Please visit to view the archive, data visualizations, and all the legacy R-Shief platforms (older versions built between 2009-2020).