Feedback Loops: Algorithmic Authority, Emergent Biases, and Implications for Information Literacy

Algorithms have become increasingly ubiquitous in our modern, technologically driven society. Algorithmic tools that are embedded to “enhance” the user experience when information-seeking carry problematic epistemological concerns. These algorithms are developed and interjected into search tools by...

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Main Author: Ian O'Hara
Format: Article
Language:English
Published: University Library System, University of Pittsburgh 2021-06-01
Series:Pennsylvania Libraries: Research & Practice
Online Access:http://palrap.pitt.edu/ojs/index.php/palrap/article/view/231
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author Ian O'Hara
author_facet Ian O'Hara
author_sort Ian O'Hara
collection DOAJ
description Algorithms have become increasingly ubiquitous in our modern, technologically driven society. Algorithmic tools that are embedded to “enhance” the user experience when information-seeking carry problematic epistemological concerns. These algorithms are developed and interjected into search tools by human beings who, consciously or not, tend to impart biases into the functionality of the information retrieval process. These search tools have become our primary arbiters of knowledge and have been granted relatively unmitigated sovereignty over our perceptions of reality and truth. This article provides broader awareness of how the bias embedded within these algorithmic systems structures users’ perception and knowledge of the world, preserving traditional power hierarchies and the marginalization of specific groups of people, and examines the implications of algorithmic search systems on information literacy instruction from a critical pedagogical perspective.
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spelling doaj.art-fd55f0ba3bdb4bedb29d6d4628ea30792022-12-21T20:01:19ZengUniversity Library System, University of PittsburghPennsylvania Libraries: Research & Practice2324-78782021-06-019181510.5195/palrap.2021.231158Feedback Loops: Algorithmic Authority, Emergent Biases, and Implications for Information LiteracyIan O'Hara0Weinberg Memorial Library University of ScrantonAlgorithms have become increasingly ubiquitous in our modern, technologically driven society. Algorithmic tools that are embedded to “enhance” the user experience when information-seeking carry problematic epistemological concerns. These algorithms are developed and interjected into search tools by human beings who, consciously or not, tend to impart biases into the functionality of the information retrieval process. These search tools have become our primary arbiters of knowledge and have been granted relatively unmitigated sovereignty over our perceptions of reality and truth. This article provides broader awareness of how the bias embedded within these algorithmic systems structures users’ perception and knowledge of the world, preserving traditional power hierarchies and the marginalization of specific groups of people, and examines the implications of algorithmic search systems on information literacy instruction from a critical pedagogical perspective.http://palrap.pitt.edu/ojs/index.php/palrap/article/view/231
spellingShingle Ian O'Hara
Feedback Loops: Algorithmic Authority, Emergent Biases, and Implications for Information Literacy
Pennsylvania Libraries: Research & Practice
title Feedback Loops: Algorithmic Authority, Emergent Biases, and Implications for Information Literacy
title_full Feedback Loops: Algorithmic Authority, Emergent Biases, and Implications for Information Literacy
title_fullStr Feedback Loops: Algorithmic Authority, Emergent Biases, and Implications for Information Literacy
title_full_unstemmed Feedback Loops: Algorithmic Authority, Emergent Biases, and Implications for Information Literacy
title_short Feedback Loops: Algorithmic Authority, Emergent Biases, and Implications for Information Literacy
title_sort feedback loops algorithmic authority emergent biases and implications for information literacy
url http://palrap.pitt.edu/ojs/index.php/palrap/article/view/231
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