searching in Stalder 2018

itu­ations (for instance if a person is
in the background, if a face is half-concealed, or if it has been
recorded at a sharp angle). Thanks to this technique, it is possible to
search the content of images directly and not, as before, primarily by
searching their descriptions. Such algorithms are also being used to
identify people in images and to connect them in social networks with
the profiles of the people in question, and this []{#Page_111
type="pagebreak" title="111"}without any cooperation from t

ume of information
did not exceed a certain size, and as long as the users and their
searches were somewhat similar to one another. In both respects, this is
no longer the case. The amount of information to be pre-sorted is
increasing, and users are searching in all possible situations and
places for everything under the sun. At the time Google was founded, no
one would have thought to check the internet, quickly and while on
one\'s way, for today\'s menu at the restaurant round the corner. Now,
thanks to

time-consuming
step of the search obsolete. The goal is to minimize a rift that comes
to light []{#Page_117 type="pagebreak" title="117"}in the act of
searching, namely that between the world as everyone experiences it --
plagued by uncertainty, for searching implies "not knowing something" --
and the world of algorithmically generated order, in which certainty
prevails, for everything has been well arranged in advance. Ideally,
questions should be answered before they are asked. The first attempt by
Goog

eria in order to
influence what, according to the standards of certain powerful players
(such as film studios), users were able to
view.[^121^](#c2-note-0121){#c2-note-0121a} In this case, too, it would
be possible to speak of the personalization of searching, except that
the heart of the situation was not the natural person of the user but
rather the juridical person of the copyright holder. It was according to
the latter\'s interests and preferences that searching was being
reoriented. Amazon has employed similar tactics. In 2014, the online
merchant changed its celebrated recommendation algorithm with the goal
of reducing the presence of books released by irritating publishers that
dared to enter into price n

the web by having its "crawler" follow the links itself.

[105](#c2-note-0105a){#c2-note-0105}  "Google Algorithm Change History,"
[moz.com](http://moz.com) (2016), online.

[106](#c2-note-0106a){#c2-note-0106}  Martin Feuz et al., "Personal Web
Searching in the Age of Semantic Capitalism: Diagnosing the Mechanisms
of Personalisation," *First Monday* 17 (2011), online.

[107](#c2-note-0107a){#c2-note-0107}  Brian Dean, "Google\'s 200 Ranking
Factors," *Search Engine Journal* (May 31, 2013), online.

 

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