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Masked by Trust: Bias in Library Discovery

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Title: Masked by Trust: Bias in Library Discovery
Description: The rise of Google and its integration into nearly every aspect of our lives has pushed libraries to adopt similar “Google-like” search tools, called discovery systems. Because these tools are provided by libraries and search scholarly materials rather than the open web, we often assume they are more “accurate” or “reliable” than their general-purpose peers like Google or Bing. But discovery systems are still software written by people with prejudices and biases, library software vendors are subject to strong commercial pressures that are often hidden behind diffuse collection-development contracts and layers of administration, and they struggle to integrate content from thousands of different vendors and their collective disregard for consistent metadata. Library discovery systems struggle with accuracy, relevance, and human biases, and these shortcomings have the potential to shape the academic research and worldviews of the students and faculty who rely on them. While human bias, commercial interests, and problematic metadata have long affected researchers'access to information, algorithms in library discovery systems increase the scale of the negative effects on users, while libraries continue to promote their “objective” and “neutral” search tools.
Authors: Reidsma, Matthew
Resource Type: eBook.
Subjects: Online library catalogs, Search engines--Programming, Information retrieval--Social aspects, Electronic information resource searching, Filter bubbles (Information filtering), Information storage and retrieval systems
Categories: SOCIAL SCIENCE / Media Studies, LANGUAGE ARTS & DISCIPLINES / Library & Information Science / Digital & Online Resources
Database: eBook Collection (EBSCOhost)
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  Data: Masked by Trust: Bias in Library Discovery
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  Data: The rise of Google and its integration into nearly every aspect of our lives has pushed libraries to adopt similar “Google-like” search tools, called discovery systems. Because these tools are provided by libraries and search scholarly materials rather than the open web, we often assume they are more “accurate” or “reliable” than their general-purpose peers like Google or Bing. But discovery systems are still software written by people with prejudices and biases, library software vendors are subject to strong commercial pressures that are often hidden behind diffuse collection-development contracts and layers of administration, and they struggle to integrate content from thousands of different vendors and their collective disregard for consistent metadata. Library discovery systems struggle with accuracy, relevance, and human biases, and these shortcomings have the potential to shape the academic research and worldviews of the students and faculty who rely on them. While human bias, commercial interests, and problematic metadata have long affected researchers'access to information, algorithms in library discovery systems increase the scale of the negative effects on users, while libraries continue to promote their “objective” and “neutral” search tools.
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  Data: <searchLink fieldCode="DE" term="%22Online+library+catalogs%22">Online library catalogs</searchLink><br /><searchLink fieldCode="DE" term="%22Search+engines--Programming%22">Search engines--Programming</searchLink><br /><searchLink fieldCode="DE" term="%22Information+retrieval--Social+aspects%22">Information retrieval--Social aspects</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+information+resource+searching%22">Electronic information resource searching</searchLink><br /><searchLink fieldCode="DE" term="%22Filter+bubbles+%28Information+filtering%29%22">Filter bubbles (Information filtering)</searchLink><br /><searchLink fieldCode="DE" term="%22Information+storage+and+retrieval+systems%22">Information storage and retrieval systems</searchLink>
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      – Code: 025.524
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Online library catalogs
        Type: general
      – SubjectFull: Search engines--Programming
        Type: general
      – SubjectFull: Information retrieval--Social aspects
        Type: general
      – SubjectFull: Electronic information resource searching
        Type: general
      – SubjectFull: Filter bubbles (Information filtering)
        Type: general
      – SubjectFull: Information storage and retrieval systems
        Type: general
    Titles:
      – TitleFull: Masked by Trust: Bias in Library Discovery
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            NameFull: Reidsma, Matthew
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2019
            – D: 31
              M: 10
              Type: profile
              Y: 2019
          Identifiers:
            – Type: isbn-print
              Value: 9781634000833
            – Type: isbn-electronic
              Value: 9781634001014
          Titles:
            – TitleFull: Masked by Trust: Bias in Library Discovery
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