7 Matching Annotations
  1. Aug 2019
    1. and annotation can tell us why that alternative view matters..d-undefined, .lh-undefined { background-color: rgba(0, 0, 0, 0.2) !important; }.d-undefined, .lh-undefined { background-color: rgba(0, 0, 0, 0.5) !important; }1Troy Hicks With this potential social function, we are reminded that annotation is not neutral as it helps those who add notes to texts produce new discourses and knowledge.

      I wonder how better, big data being overlaid on virtual reality may be helpful to the currently marginalized in the future? Would it be useful to have shared data about businesses and practices that tend to marginalize people further? I recall an African-American comedian recently talking about the Confederate Flag in a (Netflix?) comedy special. They indicated that the flag actually had some worthwhile uses and reminisced driving on rural highways at night looking for a place to stay. When they saw that flag flying over a motel, they knew better to keep driving and stay at another hotel further down the road. In this case, the flag over the hotel not-so-subtly annotated the establishment itself.

      I perceive a lot of social slights and institutionalized racism as being of a marginal sort which are designed to be bothersome to some while going wholly unnoticed by others. What if it were possible to aggregate the data on a broader basis to bring these sorts of marginal harms to the forefront for society to see them? As an example, consider big companies doing marginal harms to a community's environment over time, but going generally unnoticed until the company has long since divested and/or disappeared. It's hard to sue them for damages decades later, but if one could aggregate the bigger harms upfront and show those annotated/aggregated data up front, then they could be stopped before they got started.

      As a more concrete example, the Trump Management Corporation was hit with a consent decree in the early 1970's for prejudicial practices against people of color including evidence that was subpoenaed showing that applications for people of color were annotated with a big "C" on them. Now consider if all individuals who had made those applications had shared some of their basic data into a pool that could have been accessed and analyzed by future applicants, then perhaps the Trumps would have been caught far earlier. Individuals couldn't easily prove discrimination because of the marginal nature of the discrimination, but data in aggregate could have potentially saved the bigger group.

  2. Aug 2018
  3. Jul 2018
    1. Where the data principal withdraws consentfor the processing of any personal data necessary for the performance of a contract to which the data principal is a party, all legal consequences for the effects of such withdrawal shall be borne by the data principal.

      How does it serve public interest and individual rights to hold people liable for the withdrawal of consent to the processing of their personal data?

  4. Sep 2017
    1. protocol available at doi: 10.7910/DVN/V1TKIO20

      kudos for citing (rather than just mentioning) the dataset and especially for including the consent forms (they are in Study_protocol.docx)

  5. Mar 2017
    1. Communicate with students, staff, and others whose data are collected about their rights, including the methods used to obtain consent to use the data for predictive analytics and how long the information will be stored.

      Seems to completely skim over the issue of obtaining consent for predictive analytics...."Oh yeah, make sure that you have consent"

  6. Feb 2017
    1. legal age of consent (which was age ten in twenty slates

      There was one exception: a man's acts with his wife, to which rape law, and hence the age of consent, did not apply.

      So it was okay to marry a 10 year old.... hm.