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Stating that the algorithm is merely a code that can be executed may be shortsighted: without input, the algorithm would not be able to do anything and in a way, the algorithm is only functional when it has an input and some output (whether or not the output can be seen). The output can be a printed output on a screen, or it can be something that is stored as a variable. In this sense, the algorithm can be understood as the totality of input, algorithmic code, and output, as is simplistically represented in Figure 2. input algorithm code Figure 2: The algorithm is not merely a mathematical procedure; it is inseparable of its input and output. In case of the Google Search Algorithm, the algorithm needs the data from the Google index5, such that if a user searched for “history Netherlands”, the (simplistic) algorithm would use as input the user’s search query and the Google index. In the simplified diagram above, another input would thus need to be added, namely the Google index that serves as another input. Yet, what can be used as input is neither limited nor static. As a matter of fact, the output that the search algorithm generates (a list of links to pages) is used as new input for the algorithmic procedures: if a users clicks on a link to a webpage, information about this user action is put back into the algorithm, so that the algorithm can ‘learn’. Moreover, the algorithm also uses other user data, such as the user’s browsing history and geographical information (“Algorithms” 2015; Baker and Potts 2013; Diakopoulos 2014; Dwork et al. 2011; Hannak et al. 2013). In fact, these user data do not merely influence the algorithm, in the sense that there is a unilateral connection, the opposite is also the case: a change in the algorithm could also mean that different parts of the input data are used, or that the algorithm makes different choices resulting in a different output. A simplified diagram would then look like Figure 3: 5 Basically, the Google index is, as its name suggests, an index of words and their locations of pages on the web (“Crawling & Indexing” 2015). output 16PDF Image | peek into the discursive construction of the Google Search Algorithm: A critical discourse analysis
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