Skip to content

Latest commit

 

History

History
70 lines (41 loc) · 4.78 KB

impact2.md

File metadata and controls

70 lines (41 loc) · 4.78 KB

Level of Impact #2

Politics of knowledge production

"At another level, we can ask how our methods of organizing data, analytical interpretations, or findings as shared datasets are being used — or might be used — to build definitional categories or to profile particular groups in ways that could impact livelihoods or lives. Are we contributing positive or negative categorizations?" Annette Markham, "OKCupid data release fiasco: It’s time to rethink ethics education," 2016, emphasis added)

graphic of two words - knowledge and power - and semi-circular arrows from power to knowledge and from knowledge to power, forming a circle

Discuss

Let's discuss as a class:

  • BRIEFLY, how are knowledge and power mutually constituted, according to the theorizations of Gramsci, Hall or Foucault?
  • What do the key terms below mean?
  • How might we apply these concepts when thinking through ethics for digital research and projects?

Some key terms:

  • Hegemony (Antonio Gramsci)
  • Discourse (Michel Foucault)
  • "Policing the crisis" (Stuart Hall)

An example:

The hegemonic racial discourses that associate Blackness with criminality in the United States serve to justify police brutality towards and higher rates of criminalization and mass incarceration of Black people - and these higher rates of policing and incarcerating serve to justify the assumption of their criminality.

So then when, for eample, someone attempts to make an algorithm to identify potential criminals that is produced through machine learning on crime data (e.g. the number of accused crimes in relation to demographic data) that algorithm will reproduce the racist ideologies and practices that police and incarcerate Black people at a much higher rate.

Further reading: Julia Angwen & Jeff Larson, "Bias in Criminal Risk Scores Is Mathematically Inevitable, Researchers Say"

Ramifications of (re)producing categories

Decisions on the categories and boundaries scholars use shape our:

  • Datasets
  • Algorithms
  • Maps

Categories are key to digital tools in many ways - the organizational systems used by libraries and archives, the tags used on websites, the methods of categorization informing algorithms - which then shapes not only how things/people/etc are grouped together but what is searchable and findable, and the trajectory of canon formation and what is cited and foregrounded.

A comic from Postcolonial #DH No. 28 by Adeline Koh: "Wikepedia and the politics of gender categorization" - A bunch of white men stand to the left behind a roped off area, and a bunch of people of color and women stand to the right. A white male facing the people to the right says to them, "I'm sorry, there just isn't any more space in the main wikipedia 'American Novelist' category. Maybe you oculd join the 'American Woman Novelist' category?"
Image source: A comic by Adeline Koh from #DHPoco: Postcolonial Digital Humanities, shared here with her permission.

Attempts to "resist the hierarchy"

Some questions to consider:

  • Can categorical hierarchies be resisted through digital projects?
  • For example, might public syllabi projects be understood as "resisting the hierarchy," or specifically resisting the canonization of Western white settler colonial approaches?

Projects to check out:

Activity 3: Think, Pair, Share

Think about the digital project or research you are or will be working on.

  1. What is an example of a category or boundary you have to establish when making a dataset, algorithm, or map?
  • Are you basing the categor(y/ies) or boundar(y/ies) you use off already established ones? Established by who? Where?
  • If you are establishing your own categor(y/ies) or boundar(y/ies), what decisions did or do you have to make?
  1. What may be some of the possible social, political or economic effects of creating or re-creating these categories or boundaries?

Pair up with another person near you and discuss. Share as a class.


<<< Back - Next >>>