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Uneven Geographies of User-Generated Information: Patterns of Increasing Informational Poverty

Author

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  • Mark Graham
  • Bernie Hogan
  • Ralph K. Straumann
  • Ahmed Medhat

Abstract

Geographies of codified knowledge have always been characterized by stark core–periphery patterns, with some parts of the world at the center of global voice and representation and many others invisible or unheard. Many have pointed to the potential for radical change, however, as digital divides are bridged and 2.5 billion people are now online. With a focus on Wikipedia, which is one of the world's most visible, most used, and most powerful repositories of user-generated content, we investigate whether we are now seeing fundamentally different patterns of knowledge production. Even though Wikipedia consists of a massive cloud of geographic information about millions of events and places around the globe put together by millions of hours of human labor, the encyclopedia remains characterized by uneven and clustered geographies: There is simply not a lot of content about much of the world. The article then moves to describe the factors that explain these patterns, showing that although just a few conditions can explain much of the variance in geographies of information, some parts of the world remain well below their expected values. These findings indicate that better connectivity is only a necessary but not a sufficient condition for the presence of volunteered geographic information about a place. We conclude by discussing the remaining social, economic, political, regulatory, and infrastructural barriers that continue to disadvantage many of the world's informational peripheries. The article ultimately shows that, despite many hopes that a democratization of connectivity will spur a concomitant democratization of information production, Internet connectivity is not a panacea and can only ever be one part of a broader strategy to deepen the informational layers of places.

Suggested Citation

  • Mark Graham & Bernie Hogan & Ralph K. Straumann & Ahmed Medhat, 2014. "Uneven Geographies of User-Generated Information: Patterns of Increasing Informational Poverty," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 104(4), pages 746-764, July.
  • Handle: RePEc:taf:raagxx:v:104:y:2014:i:4:p:746-764
    DOI: 10.1080/00045608.2014.910087
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    Citations

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    Cited by:

    1. Matthew Tenney & Renee Sieber, 2016. "Data-Driven Participation: Algorithms, Cities, Citizens, and Corporate Control," Urban Planning, Cogitatio Press, vol. 1(2), pages 101-113.
    2. Adam Bumpus & Thu-Ba Huynh & Sophie Pascoe, 2019. "Making REDD+ Transparent: Opportunities for MobileTechnology," Global Environmental Politics, MIT Press, vol. 19(4), pages 85-117, November.
    3. Andrés Vallone & Coro Chasco & Beatriz Sánchez, 2020. "Strategies to access web-enabled urban spatial data for socioeconomic research using R functions," Journal of Geographical Systems, Springer, vol. 22(2), pages 217-239, April.
    4. Mark Graham, 2015. "Contradictory Connectivity: Spatial Imaginaries and Technomediated Positionalities in Kenya's Outsourcing Sector," Environment and Planning A, , vol. 47(4), pages 867-883, April.
    5. Haenssgen, Marco J., 2018. "The struggle for digital inclusion: Phones, healthcare, and marginalisation in rural India," World Development, Elsevier, vol. 104(C), pages 358-374.
    6. Xiang Zheng & Jiajing Chen & Erjia Yan & Chaoqun Ni, 2023. "Gender and country biases in Wikipedia citations to scholarly publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(2), pages 219-233, February.
    7. Stephany, Fabian & Braesemann, Fabian, 2017. "An Exploration of Wikipedia Data as a Measure of Regional Knowledge Distribution," SocArXiv c2gd8, Center for Open Science.
    8. Kai Zhu & Dylan Walker & Lev Muchnik, 2020. "Content Growth and Attention Contagion in Information Networks: Addressing Information Poverty on Wikipedia," Information Systems Research, INFORMS, vol. 31(2), pages 491-509, June.

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