peek into the discursive construction of the Google Search Algorithm: A critical discourse analysis

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peek into the discursive construction of the Google Search Algorithm: A critical discourse analysis ( peek-into-discursive-construction-google-search-algorithm-cr )

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Keyword Weighed Count Weighed Count percentage percentage bias transparency discriminate discriminatory disclosure disclose Regulation law Rules Ethic Value norm open Opacity opaque Neutral Spam Abuse Choice Choose Users Need want Require request Guidelines Hacked Relevant Responsibility - 0,08% - - - 0,03% - 0,03% - - 0,08% - 0,10% - - - 1,23% 0,05% 0,10% 0,08% 0,45% 0,20% 0,28% 0,08% 0,48% 0,23% 0,28% 0,35% - - 4 - - - 1 - 1 - - 3 - 4 - - - 49 2 4 3 18 8 11 3 19 9 8 14 - Frequency in academic corpus 0,14% 205 0,08% 118 0,08% 113 0,01% 9 0,02% 36 0,02% 27 0,06% 88 0,16% 237 0,15% 226 0,49% 736 0,16% 246 0,02% 31 0,05% 78 0,01% 9 0,01% 15 0,01% 19 0,01% 10 0,01% 8 0,06% 89 0,03% 43 0,26% 395 0,23% 343 0,07% 101 0,14% 216 0,02 31 Frequency in Google corpus Table 2: Words in this table were manually chosen from the topics that were academic literature. For instance, from reading the academic corpus closely, “opacity” and “users” were often addressed. Therefore, they were included hand, it was found that words such as “spam” were often used by Google, which is why these words were also included in the topic list. In the word frequency analysis, the frequencies of these words were looked up using NVivo. There is no specific order in this table. 38 addressed in the it was found that in the list. On the other

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