Search Engine; South Africa

Proving It Is the Data That Is Biased, Not the Algorithm Through a Recent South African Online Case Study

Abstract:

In the recent past, some Internet users questioned the reliability of online news, but not necessarily the role of search engines in programming public discourse. In 2018, South African Twitter users accused Google of peddling misinformation when Google Image searches for the phrase “squatter camps in South Africa” displayed images of white squatter camps. Many analysts blamed Google’s algorithm for displaying bias. In this article, the authors use this example in comparing the findings of six different search engines to counter this argument. Search engines that are diverse in their scope and origin are used to prove that is it not the algorithm, but rather the data that is biased.

Published In

Volume 19, Issue 3

Journal of Information Warfare

The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

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APT

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The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

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