Data Journalism and the Remaking of Data Infrastructures

University of Bath | Institute for Policy Research |14 September 2016 Liliana Bounegru | University of Groningen and University of Ghent | lilianabounegru.org

Washington, I. (2013). “Overcome your fear of numbers, uncover great stories like these.”http://journalists.org/2013/03/19/overcome-your-fear-of-numbers-uncover-great-stories-like-these/

Rogers, S. (2011). “Data journalism broken down: what we do to the data before you see it.”https://www.theguardian.com/news/datablog/2011/apr/07/data-journalism-workflow

“‘Just good enough data’ ... creates a shared space for discussion that can communicate community awareness of pollution events to regulators.” (Gabrys, J. & Pritchard, H. 2015. “Next-Generation Environmental Sensing: Moving Beyond Regulatory Benchmarks for Citizen-Gathered Data.”)

Data have publics

Data journalism and the making and remaking of data infrastructures

1. Data journalism as intervention in data infrastructures2. Data journalism and tool ecologies for the valorisation of data

CHANGING WHAT COUNTSCHANGING

WHAT COUNTSHOW CAN CITIZEN-GENERATED AND CIVIL SOCIETY DATA BE USED AS AN ADVOCACY TOOL TO CHANGE OFFICIAL DATA COLLECTION?

Jonathan Gray

Danny Lämmerhirt

Liliana Bounegru

Bounegru, L. & Venturini, T. (forthcoming). “Mapping Journalism Code Ecologies for the Valorisation of Data on GitHub.”

Data journalism and the making and remaking of data infrastructures

1. Data journalism as intervention in data infrastructures2. Data journalism and tool ecologies for the valorisation of data

1. Data journalism as intervention in data infrastructures: some tactics and examples

1.1 Make your own data1.2 Reverse engineering

1. Data journalism as intervention in data infrastructures: some tactics and examples

1.1 Make your own data1.2 Reverse engineering

– Moradi, J. (2011). “What do open sensor networks mean for journalism?” http://javaunmoradi.com/blog/2011/12/16/what-do-open-sensor-networks-mean-for-journalism/

“If stage 1 of data journalism was ‘find and scrape data,’ then stage 2 was ‘ask government agencies to release

data,’ in easy to use formats. Stage 3 is going to be ‘make your own data.’”

http://www.theguardian.com/us-news/ng-interactive/2015/jun/01/the-counted-police-killings-us-database

https://www.theguardian.com/us-news/2015/oct/08/fbi-chief-says-ridiculous-guardian-washington-post-better-information-police-shootings

1. Data journalism as intervention in data infrastructures: some tactics and examples

1.1 Make your own data1.2 Reverse engineering

First: John Middle: Last: Public DOB: 01/01/1975 SSN: 1234 State: Colorado

First: John Middle: Q. Last: Public DOB: 01/01/1975 SSN: 1234 State: Kansas

Potential match

http://projects.aljazeera.com/2014/double-voters/

Data journalism and the making and remaking of data infrastructures

1. Data journalism as intervention in data infrastructures2. Data journalism and tool ecologies for the valorisation of data

https://d3js.org/

https://github.com/search?q=stars:%3E1&s=stars&type=Repositories

Bounegru, L. & Venturini, T. (forthcoming). “Mapping Journalism Code Ecologies for the Valorisation of Data on GitHub.”

https://github.com/california-civic-data-coalition/django-calaccess-raw-data

https://sunlightlabs.github.io/congress/

https://securedrop.org/

https://github.com/themarshallproject/klaxon

https://github.com/wnyc/django-crowdsourcing

https://github.com/sunlightlabs/openstates

The mediating capacities of journalism code.

https://github.com/newsdev/elex

https://github.com/motherjones/grunt-gss-pull

Thank You!Liliana Bounegru | University of Groningen and University of Ghent |

lilianabounegru.org | @bb_liliana