This report was interesting as I had never seen my activity on Twitter as described above. To be honest, it didn’t highlight anything I didn’t know already (apart from perhaps my interest in politics). This Twitter account was originally created to tweet homework to my first grade students and their parents. I have another private Twitter account and I hope to compare the QuillConnect report from that one with this one over the following week.
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The power of algorithms and how they can profile you based on Facebook likes;
http://fivethirtyeight.com/datalab/this-algorithm-knows-you-better-than-your-facebook-friends-do/
The algorithm was more effective at guessing the five-trait personality aspects.
Interesting views from Sam Altman on machine intelligence, why we should be concerned about it.
http://blog.samaltman.com/machine-intelligence-part-1
Article on creating addictive tendencies and the algorithms that make people come back for more and more… How can we make education more addictive… Intelligent algorithms know what we want… The danger of Pavlov’s dogs.
http://ethnographymatters.net/blog/2015/02/09/the-addiction-algorithm/
You can find the link to the netnographic research below;
This article caught my eye as it goes back to the first unit, looking at memory and the human mind. We are still investigating/researching how the mind and memory fully works, here we see the mind setting up general rules, slightly similar to algorithms, programming and the rules on IFTTT. The plunge and squish theory is something I will be investigating over the Summer when I get to read a bit more by David Gelertner.
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The MOOC content is really very engaging, I have greatly enjoyed the course so far, the information is delivered in a direct, simple manner, via video lectures. This tweet reflects how I started engaging with the material.
Anyone struggling with a work/life balance should reconfigure their idea of this concept. @Wharton @StewFriedman #FourWayWins #MSCEDC
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