{"id":36619,"date":"2015-01-27T10:49:18","date_gmt":"2015-01-27T10:49:18","guid":{"rendered":"http:\/\/www.massarate.ma\/?p=36619"},"modified":"2015-01-27T10:49:18","modified_gmt":"2015-01-27T10:49:18","slug":"dataclysm","status":"publish","type":"post","link":"https:\/\/www.massarate.ma\/dataclysm.html","title":{"rendered":"Dataclysm"},"content":{"rendered":"

$\"Dataclysm\"$ <\/p>\n

As CEO of OKCupid<\/i>, one of the biggest dating websites worldwide, Christian Rudder is in possession of some BIG data. To fill the data pool to the brim, he also gathered a deluge of data from Facebook<\/i>, Twitter<\/i>, Reddit<\/i>, and other social networks.<\/p>\n

\u201cData\u201d, in the context of social media sites, captures how long we are lingering on a particular picture and whether we do or don\u2019t click a particular link, but also how we explicitly rate a particular content \u2013 whether we \u201clike\u201d it, in the relatively anonymous context of online sites.<\/p>\n

Online behaviour is less inhibited by convention than the behavior we observe in experiments or polls: for instance, imagine we asked someone on the street to rate another person\u2019s sex appeal, or whether they would consider themselves racist. We\u2019re unlikely to get an uncensored, honest answer. Being able to observe on a large scale what people actually<\/i> like and do instead of asking them what theywould<\/i> like and do allows unique and deep insights into \u201cwho we are \u2013 when we think nobody is looking\u201d, the subheading of this book.<\/p>\n

\u2018Dataclysm<\/a>\u2018 is one of the first works out there that transparently analyses big social data in a hilarious, yet thoughtful manner for the public \u2013 who are the actual perhaps unwitting participants in this big social experiment.<\/p>\n

isciencemag<\/span><\/p>\n

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