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The Human and the Machine: AI Hopes and Fears in Media & Society
  • ISSN: 1757-2681
  • E-ISSN: 1757-269X

Abstract

This article investigates the ramifications of search engine algorithms for journalism practice and its professional commitment to serving the public interest. Taking a discipline-transcending approach that combines quantitative data analysis with an exploration of the social forces shaping knowledge production in journalism, we examine a case study involving New Zealand media’s coverage of economic recession. This inquiry addresses the question of how journalists navigate the terrain of algorithms and respond to the challenges posed by programme-based news production in relation to their professional norms. Our study highlights the significant role of search engines, particularly Google, in shaping the journalistic newsgathering process and, consequently, public understanding of social issues. The computer-assisted analysis of Google’s ‘recession’ news selection revealed distinct patterns in the distribution of news content and geographical bias towards the United States within the selection algorithm. Ethnographic research at one Auckland newsroom revealed that Google Search is a fundamental tool for journalists, albeit used primarily for basic information-gathering and fact-checking rather than in-depth investigative work.

This article is Open Access under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International licence (CC BY-NC-ND), which allows users to copy, distribute and transmit the article as long as the author is attributed, the article is not used for commercial purposes, and the work is not modified or adapted in any way. To view a copy of the licence, visit https://creativecommons.org/licenses/by-nc-nd/4.0/
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2024-10-17
2026-03-17
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