An introduction to the topic of ethics and big data ending with questions about how to teach data journalists. Part of the Berkman Center for Internet & Society's Study group "Teaching Data Storytelling for Civic Impact".
2. The sheer amount of data we are generating is
pretty insane
Banks!
Gyms!
Student loans!
Insurance companies!
Health care providers!
EZPass!
T-Pass!
Tech support calls!
Public records - Birth, Marriage, Death, Sale of property,
Legal proceedings!
Public Surveillance Cameras!
Future/Now: IoT, Wearables, DashboardCams, CopCams, Drones, Microlocation devices
3. Data is the method of the powerful, who have resources to
acquire, store and make sense of large quantities of data.
4. Many data practices are closed, extractive and
centralized
individuals communities
Corporate Databases, Data Brokers, Government, INGOs
NSA
5. Open Data Movement - hope for more widely
distributed access to data and know-how
6. CHALLENGES FOR OPEN
DATA
Most corporate data & government data still not
open. Many accountability data sets notably
missing from open data. (Open Data Barometer
report)
Data that you need doesnt exist because its
not in anyones interest to collect it (police
killings)
Anonymized and aggregated data can be
rematched to create personally identi鍖able
information (AOL incident, Science/MIT Media
Lab research, NYCTaxis and Celebrities)
Risk of data retained forever - not sensitive now
but could be sensitive in future.
Data literacy gap to translate data into civic
practices.
7. Often, just opening data is not enough.We see
troubling cases of possible misuse of data.
Target teenage pregnancy - Should corporate practices be able to bypass HIPAA
regulations?!
Predictive Parole - Should algorithms and personal data help determine parole?!
The Mugshot Industry - Should public data feed into public shaming? Is this a
violation of innocent until proven guilty?!
Gun owners & the Journal News - Should journalists be able to publish gun
owners home addresses?!
538 reports on Nigerian Kidnappings - Yikes. Even data journalists get things
really, really wrong sometimes.!
Doxing - Should we have consequences for doxing, which often uses public
data to shame, harass or bully an individual?
9. WHAT I WANTTHEMTO
LEARN
!
Case studies to see nuance
Data comes from material practices
Ecosystem of personal data
Data doesnt have all the answers
Privacy concerns, protecting self and sources, assessing risk now and into the
future
Nuts and bolts of tools (end-to-end encryption, deleting data securely, etc.)
10. CONTEXT
Journalism Undergrads and Grads
Professionally oriented, Like learning practical skills
Media savvy but not techies
They will read but I have to emphasize that they will need to
perform the reading in some way in class
Class is studio-based; Prefer activities & projects to lectures & theory
Limited class time