Yup Data is the new oil. I wonder how much of this we are using in this year's election. Ali Hussein Principal Hussein & Associates +254 0713 601113 Twitter: @AliHKassim Skype: abu-jomo LinkedIn: http://ke.linkedin.com/in/alihkassim "We are what we repeatedly do. Excellence, therefore, is not an act but a habit." ~ Aristotle Sent from my iPad
On 8 May 2017, at 9:15 PM, Ngigi Waithaka via kictanet <kictanet@lists.kictanet.or.ke> wrote:
Listers,
The other side of big firms is big data...
https://motherboard.vice.com/en_us/article/how-our-likes-helped-trump-win
This is the world we live in.... The excerpt below from the article above helps to put things into perspective...
In 2012, Kosinski proved that on the basis of an average of 68 Facebook "likes" by a user, it was possible to predict their skin color (with 95 percent accuracy), their sexual orientation (88 percent accuracy), and their affiliation to the Democratic or Republican party (85 percent). But it didn't stop there. Intelligence, religious affiliation, as well as alcohol, cigarette and drug use, could all be determined. From the data it was even possible to deduce whether someone's parents were divorced.
Seventy "likes" were enough to outdo what a person's friends knew, 150 what their parents knew, and 300 "likes" what their partner knew.
And guess which other country is a reference for Big Data in politics by the same firm running Trumps Big Data?
https://sclgroup.cc/elections/projects/kenya/
-- Regards,
Waithaka Ngigi Chief Executive Officer | Alliance Technologies | MCK Nairobi Synod Building T +254 20 525 0750 |Office Mobile: +254 716 201061 | M +254 737 811 000 www.at.co.ke _______________________________________________ kictanet mailing list kictanet@lists.kictanet.or.ke https://lists.kictanet.or.ke/mailman/listinfo/kictanet Twitter: http://twitter.com/kictanet Facebook: https://www.facebook.com/KICTANet/
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