In 1997, David
Schenk published Data Smog, a book
about the great amount of information on Internet that would reach a level that,
instead of brings help, it would bring confusion and stress.
In postmodern
period there was enthusiasm with the possibility to easier achieve more and
more data. The ‘information age’ was a common and very well accepted expression
in those days. But, someone like Schenk had a notion of what that all was
leading to. With the transition from postmodern to after-postmodern period
efficiency of ‘easy data’ became ‘overwhelming data’ and ‘data smog’ became a usual
expression appropriated to that situation.
And so, in
after-postmodern times we must find ‘other efficiencies’… Big Data could be a
way to select information. But ‘data smog’ refers also to media information…
In scientific
information ‘text mining’ can be useful, but could be interesting to remember
what Edgar Morin said about research. He makes an intriguing proposal: it is
time to stop to neglect the regularly excluded data of research and start to
put light on those excluded data and study them, submit them to research also.
By
transdisciplinarity and complexity theory these paradoxical issues could be
worked side by side.
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