Breaking down Bias: A Practical Framework for the Systematic Evaluation of Source Bias

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Title: Breaking down Bias: A Practical Framework for the Systematic Evaluation of Source Bias
Language: English
Authors: Burkholder, Joel M., Phillips, Kat
Source: Journal of Information Literacy. Dec 2022 16(2):53-68.
Availability: CILIP Information Literacy Group. 7 Ridgmount Street, Bloomsbury, London WC1E 7AE, United Kingdom. e-mail: JIL@cilip.org.uk; Web site: https://ojs.lboro.ac.uk/JIL/index
Peer Reviewed: Y
Page Count: 17
Publication Date: 2022
Document Type: Journal Articles
Reports - Evaluative
Descriptors: Bias, Information Literacy, Information Sources, Evaluation Methods, Identification, Library Instruction
ISSN: 1750-5968
Abstract: What is bias? A review of the library literature reveals no attempts to define the concept. Nor does it reveal systematic attempts to develop interventions that teach the identification and evaluation of bias. Current pedagogical approaches (checklists and bias charts) tend to assume a self-evident definition that categorises bias as unquestioningly bad and disqualifying. Current approaches, however, fail to recognise the cognitive complexity of decoding bias within a source. A decoding process includes identifying the type of bias, determining an objective baseline, recognising biased features, and analysing bias's impact. Based on work done from several fields--argumentation theory, media bias, media literacy, and history education--this paper proposes an operational definition of bias and a practical framework for conceptualising a process to identify and evaluate bias. This paper will explore the limitations of this framework, as well as existing source evaluation paradigms. If librarians want to prepare individuals to participate in a post-truth society, where disinformation weaponises bias by appealing to emotions and beliefs rather than facts, an inclusive and nuanced conception of bias is a necessary component of library instruction.
Abstractor: As Provided
Entry Date: 2023
Accession Number: EJ1374403
Database: ERIC
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  Data: Breaking down Bias: A Practical Framework for the Systematic Evaluation of Source Bias
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  Data: <searchLink fieldCode="SO" term="%22Journal+of+Information+Literacy%22"><i>Journal of Information Literacy</i></searchLink>. Dec 2022 16(2):53-68.
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  Data: CILIP Information Literacy Group. 7 Ridgmount Street, Bloomsbury, London WC1E 7AE, United Kingdom. e-mail: JIL@cilip.org.uk; Web site: https://ojs.lboro.ac.uk/JIL/index
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  Data: 2022
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  Data: What is bias? A review of the library literature reveals no attempts to define the concept. Nor does it reveal systematic attempts to develop interventions that teach the identification and evaluation of bias. Current pedagogical approaches (checklists and bias charts) tend to assume a self-evident definition that categorises bias as unquestioningly bad and disqualifying. Current approaches, however, fail to recognise the cognitive complexity of decoding bias within a source. A decoding process includes identifying the type of bias, determining an objective baseline, recognising biased features, and analysing bias's impact. Based on work done from several fields--argumentation theory, media bias, media literacy, and history education--this paper proposes an operational definition of bias and a practical framework for conceptualising a process to identify and evaluate bias. This paper will explore the limitations of this framework, as well as existing source evaluation paradigms. If librarians want to prepare individuals to participate in a post-truth society, where disinformation weaponises bias by appealing to emotions and beliefs rather than facts, an inclusive and nuanced conception of bias is a necessary component of library instruction.
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      – Text: English
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        PageCount: 17
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      – SubjectFull: Information Literacy
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      – SubjectFull: Information Sources
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              Y: 2022
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