7 Matching Annotations
  1. Jan 2023
    1. https://www.complexityexplorer.org/courses/162-foundations-applications-of-humanities-analytics/segments/15630


      Seven Principles of Data Feminism

      • Examine power
      • Challenge power
      • Rethink binaries and hierarchies
      • Elevate emotion an embodiment
      • Embrace pluralism
      • Consider context
      • Make labor visible

      Abolitionist movement

      There are some interesting analogies to be drawn between the abolitionist movement in the 1800s and modern day movements like abolition of police and racial justice, etc.

      Topic modeling - What would topic modeling look like for corpuses of commonplace books? Over time?

      wrt article: Soni, Sandeep, Lauren F. Klein, and Jacob Eisenstein. “Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers.” Journal of Cultural Analytics 6, no. 1 (January 18, 2021). https://doi.org/10.22148/001c.18841. - Brings to mind the difference in power and invisible labor between literate societies and oral societies. It's easier to erase oral cultures with the overwhelm available to literate cultures because the former are harder to see.

      How to find unbiased datasets to study these?

      aspirational abolitionism driven by African Americans in the 1800s over and above (basic) abolitionism

    1. When engaging in data literacy work in our classrooms, it’s helpful to keep two ideas at play at once: on the one hand, these algorithmic systems are nowhere near as “smart” as these platforms want to lead us to believe they are; and on the other hand, concerns about accuracy can distract us from the bigger picture, that these platforms are built on a logic of prediction that, one nudge at a time, may ultimately infringe upon users’ ability to make up their own mind.
  2. Mar 2022
  3. May 2019
  4. Jan 2019
    1. Nyhan and Reifler also found that presenting challenging information in a chart or graph tends to reduce disconfirmation bias. The researchers concluded that the decreased ambiguity of graphical information (as opposed to text) makes it harder for test subjects to question or argue against the content of the chart.

      Amazingly important double-edged finding for discussions of data visualization!

  5. Sep 2018
    1. End-Users

      Because Grafoscopio was used in critical digital literacy workshops, dealing with data activism and journalism, the intended users are people who don't know how to program necessarily, but are not afraid of learning to code to express their concerns (as activists, journalists and citizens in general) and if fact are wiling to do so.

      Tool adaptation was "natural" of the workshops, because the idea was to extend the tool so it can deal with authentic problems at hand (as reported extensively in the PhD thesis) and digital citizenship curriculum was build in the events as a memory of how we deal with the problems. But critical digital literacy is a long process, so coding as a non-programmers knowledge in service of wider populations able to express in code, data and visualizations citizen concerns is a long time process.

      Visibility, scalability and sustainablitiy of such critical digital literacy endeavors where communities and digital tools change each other mutually is still an open problem, even more considering their location in the Global South (despite addressing contextualized global problems).

  6. Nov 2016