open access publication

Editorial Material, 2023

Smart corruption: Satirical strategies for gaming accountability

BIG DATA & SOCIETY, ISSN 2053-9517, 2053-9517, Volume 10, 1, 10.1177/20539517231164119

Contributors

Ghosh, Ritwick 0000-0002-1187-9204 (Corresponding author) [1] [2] Faxon, Hilary Oliva [3] [4] [5]

Affiliations

  1. [1] Arizona State Univ, Sch Future Innovat Soc, Tempe, AZ 85287 USA
  2. [NORA names: United States; America, North; OECD];
  3. [2] Arizona State Univ, Sch Future Innovat Soc, Tempe, AZ 85287 USA
  4. [NORA names: United States; America, North; OECD];
  5. [3] Univ Copenhagen, Dept Food & Resource Econ, Copenhagen, Denmark
  6. [NORA names: KU University of Copenhagen; University; Denmark; Europe, EU; Nordic; OECD];
  7. [4] Univ Montana, WA Franke Coll Forestry & Conservat, Missoula, MT USA
  8. [NORA names: United States; America, North; OECD];
  9. [5] Univ Montana, WA Franke Coll Forestry & Conservat, Missoula, MT USA
  10. [NORA names: United States; America, North; OECD]

Abstract

Although new forms of data can be used to hold power to account, they also grant the powerful new resources to game accountability. We dub the latter behavior "smart corruption." The concept highlights the possibility of appropriating algorithms, infrastructures, and data publics to accumulate benefits and obscure responsibility while leaning into the positive associations of transparency. Unlike conventional forms of corruption, smart corruption is disguised as progressive, and is thus difficult to spot or analyze through existing legal or ethical frameworks. To illustrate, we outline a satirical strategy for gaming accountability. Identifying the particular mechanisms and outcomes of transgressive activities carried out under the veneer of data-driven transparency, as well as the key actors and organizations most active in gaming accountability, is an important research and political project.

Keywords

accountability, corruption, data-driven governance, gaming, institutions, transparency

Data Provider: Clarivate