Search algorithms, hidden labour and information control. Issue 1 (June 2016)

• Record Type: Journal Article
• Authors: Bilić, Paško
• Is Part Of: Big data & society. Volume 3:Issue 1(2016)
• Publication Date: 2016-06
• Subjects: Google -- search algorithm -- ideology -- digital labour -- culture; Big data -- Social aspects -- Periodicals; Social sciences -- Research -- Data processing -- Periodicals; Social sciences -- Research -- Methodology -- Periodicals; Data mining -- Periodicals; 300.28557
• DOI: 10.1177/2053951716652159
• Languages: English
• ISSNs: 2053-9517

Abstract

The paper examines some of the processes of the closely knit relationship between Google's ideologies of neutrality and objectivity and global market dominance. Neutrality construction comprises an important element sustaining the company's economic position and is reflected in constant updates, estimates and changes to utility and relevance of search results. Providing a purely technical solution to these issues proves to be increasingly difficult without a human hand in steering algorithmic solutions. Search relevance fluctuates and shifts through continuous tinkering and tweaking of the search algorithm. The company also uses third parties to hire human raters for performing quality assessments of algorithmic updates and adaptations in linguistically and culturally diverse global markets. The adaptation process contradicts the technical foundations of the company and calculations based on the initial Page Rank algorithm. Annual market reports, Google's Search Quality Rating Guidelines, and reports from media specialising in search engine optimisation business are analysed. The Search Quality Rating Guidelines document provides a rare glimpse into the internal architecture of search algorithms and the notions of utility and relevance which are presented and structured as neutral and objective. Intertwined layers of ideology, hidden labour of human raters, advertising revenues, market dominance and control are discussed throughout the paper.