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Table of Contents Summary ...................................................................................................................................7 Introduction.............................................................................................................................11 1 Defining the search algorithm in context of current debates ...........................................15 1.1 What is an algorithm? What is considered (part of) an algorithm? ............................15 1.2 Current discussions on search algorithms ..................................................................17 1.2.1 Bias, stereotyping, reinforcement of stereotyping ..............................................18 1.2.2 Personalisation.....................................................................................................19 1.2.3 Benchmarks / standards.......................................................................................20 1.2.4 Meta-perspective on algorithms..........................................................................21 1.2.5 Detection, regulation of biased algorithms .........................................................21 1.2.6 Articulation of the algorithm................................................................................22 1.2.7 How to proceed from here ..................................................................................22 2 3 4 5 6 Methodology and methods ..............................................................................................25 2.1 Theoretical underpinnings..........................................................................................25 2.1.1 Critique on CDA ..................................................................................................27 2.1.2 Fairclough’s approach to CDA ............................................................................27 2.2 Methods of data collection and analysis ....................................................................31 2.2.1 Data, data collection and selection .....................................................................31 2.2.2 Methods of data analysis .....................................................................................32 Analysis/ interpretation .....................................................................................................35 3.1 Agency, activeness, passiveness – relation between Google and user .....................35 3.2 Absence replaced by the technical imaginary ...........................................................37 3.3 The representation of the algorithm as a manual and automatic instance ................41 3.4 We, Google, versus them, hackers.............................................................................42 3.5 Technologic evolution as inescapable and natural ....................................................44 Reflection and limitations..................................................................................................47 4.1 Reflections and limitations .........................................................................................47 4.2 Using mixed methods ................................................................................................48 Conclusion: from research findings to future research .....................................................51 5.1 Is the cure better than the disease? ...........................................................................51 5.2 Possible ways past the obstacles and suggestions for further research.....................52 Bibliography......................................................................................................................55 Appendix A: List of codes used for analysis............................................................................59 5PDF Image | peek into the discursive construction of the Google Search Algorithm: A critical discourse analysis
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