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Digital inequalities 2.0: Legacy inequalities in the information age

  • Laura Robinson
  • , Jeremy Schulz
  • , Grant Blank
  • , Massimo Ragnedda
  • , Hiroshi Ono
  • , Bernie Hogan
  • , Gustavo Mesch
  • , Shelia R. Cotton
  • , Susan B. Kretchmer
  • , Timothy M. Hale
  • , Tomasz Drabowicz
  • , Pu Yan
  • , Barry Wellman
  • , Molly Gloria Harper
  • , Anabel Quan-Haase
  • , Hopeton S. Dunn
  • , Antonio A. Casilli
  • , Paola Tubaro
  • , Rod Carveth
  • , Wenhong Chen
  • Julie B. Wiest, Matías Dodel, Michael J. Stern, Christopher Ball, Kuo Ting Huang, Aneka Khilnani
    • Santa Clara University
    • UC Berkeley Institute
    • University of California at San Diego
    • University of Oxford
    • Northumbria University
    • Texas A&M University
    • Sociology Department
    • University of Haifa
    • Michigan State University
    • Clemson University
    • University of Illinois at Urbana-Champaign
    • University of Lodz
    • University of Toronto
    • Western University
    • University of Botswana
    • University of Johannesburg
    • The University of the West Indies
    • Institut Polytechnique de Paris
    • Université Paris-Saclay
    • Morgan State University
    • University of Texas at Austin
    • West Chester University
    • Northeastern University
    • Ball State University
    • George Washington University

    Research output: Contribution to journalArticlepeer-review

    110 Scopus citations

    Abstract

    2020 marks the 25th anniversary of the “digital divide.” Although a quarter century has passed, legacy digital inequalities continue, and emergent digital inequalities are proliferating. Many of the initial schisms identified in 1995 are still relevant today. Twenty-five years later, foundational access inequalities continue to separate the digital haves and the digital have-nots within and across countries. In addition, even ubiquitous-access populations are riven with skill inequalities and differentiated usage. Indeed, legacy digital inequalities persist vis-à-vis economic class, gender, sexuality, race and ethnicity, aging, disability, healthcare, education, rural residency, networks, and global geographies. At the same time, emergent forms of inequality now appear alongside legacy inequalities such that notions of digital inequalities must be continually expanded to become more nuanced. We capture the increasingly complex and interrelated nature of digital inequalities by introducing the concept of the “digital inequality stack.” The concept of the digital inequality stack encompasses access to connectivity networks, devices, and software, as well as collective access to network infrastructure. Other layers of the digital inequality stack include differentiated use and consumption, literacies and skills, production and programming, etc. When inequality exists at foundational layers of the digital inequality stack, this often translates into inequalities at higher levels. As we show across these many thematic foci, layers in the digital inequality stack may move in tandem with one another such that all layers of the digital inequality stack reinforce disadvantage.

    Original languageEnglish
    JournalFirst Monday
    Volume25
    Issue number7
    DOIs
    StatePublished - 6 Jul 2020

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 10 - Reduced Inequalities
      SDG 10 Reduced Inequalities

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