Open space for technologists, investors, tech companies and hackers in Nairobi.

Feb-20 (1)

iHub Research By Nanjira Sambuli / January 21, 2014

#UmatiForum: The Many Faces of Online Hate Speech in Kenya


What do Kenyans understand hate speech to be? What events and issues influence hate speech online? Who/what are the key drivers of online hate speech in Kenya? Has online hate speech catalyzed offline (violent) events? These are some of the guiding questions for the Umati Project, which seeks to identify and

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iHub Research By Nanjira Sambuli / November 22, 2013

Umati Phase II : Findings from July- September 2013 Monitoring Period


The Umati project seeks to understand the dissemination of hate and dangerous speech in the Kenyan online space. During the 2007 general election in Kenya, when Internet penetration in the country was still quite low, mobile text messages (SMS) were sent to incite the public to violence that left over

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Source: AU

iHub Research By Angela Okune / November 4, 2013

New Draft AU Convention on Confidence and Security in Cyberspace that you should review


By: Faith Morara & Nanjira Sambuli (Umati) A draft convention, dubbed the “African Union Convention on Confidence and Security in Cyberspace,” has been put forth by the AU. If ratified, the convention will affect a large part of the ICT sector across the continent. The growing developer communities, including those

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Photo Credit: Jonathan Kalan

iHub Research By Angela Okune / November 1, 2013

Released: Umati Analysis of Online Content from ICC and Devolution


‘Dangerous Speech,’ a subcategory of hate speech, first coined and defined by Benesch (2013), is speech or another form of expression that has a reasonable chance of catalyzing or amplifying violence by one group against another. Our Umati Project has been especially interested in Dangerous Speech since the inception of

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iHub Research By Angela Okune / July 16, 2013

Umati Project: Challenges of Capturing Relevant Data

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As part of our Umati Project, which recently released its final report from Phase 1, we have been collecting online hate speech found on social media, forums, and online newspapers. The process, which was initially envisioned to be an automated process, turned out to be quite manual due to the

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