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What Does a Good Digital
Methods Project Look Like?
11 January 2016, University of Amsterdam
Liliana Bounegru | lilianabounegru.org | @bb_liliana
Some Highlights from the DMI
Winter and Summer Schools 2015
DMI Winter School 2015!
!
Show Me Your Dashboard: New Media
Monitoring and Data Analytics as
Critical Practice
How may we identify and develop
critical data analytics?
What Does a Good Digital Methods Project Look Like?
The People’s Dashboard
Where is the social in social media
platforms?
The People’s Dashboard (2015). https://wiki.digitalmethods.net/Dmi/PeoplesDashboard
Facebook Instagram LinkedIn
Twitter YouTube LastFm
The People's Dashboard plug-in for Facebook: http://bit.ly/peoplesdashboard
The Hong Kong Protests
Through the Eyes of Weibo
How may we study public sentiment
on social media platforms?
The Hong Kong protests through the eyes of Weibo (2015). https://wiki.digitalmethods.net/Dmi/
TheHongKongProtestsThroughTheEyesOfWeibo
The Hong Kong protests through the eyes of Weibo (2015). https://wiki.digitalmethods.net/Dmi/
TheHongKongProtestsThroughTheEyesOfWeibo
DMI Summer School 2015!
!
Post-Snowden Media Empiricism and
Secondary Social Media: Data Studies
Beyond Facebook and Twitter
What Does a Good Digital Methods Project Look Like?
What Does a Good Digital Methods Project Look Like?
How may we rethink the study of online
media post-Snowden?
!
What value do secondary social media
platforms have for research?
Political Memes in a Globalised World:!
Does Love Win?
Does Love Win? The Mechanics of Memetics (2015). https://wiki.digitalmethods.net/Dmi/
SummerSchool2015DoesLoveWin
Does Love Win? The Mechanics of Memetics (2015). https://wiki.digitalmethods.net/Dmi/
SummerSchool2015DoesLoveWin
Can we map the geographies of
expressions of support and their
counter-reactions?
Does Love Win? The Mechanics of Memetics (2015). https://wiki.digitalmethods.net/Dmi/
SummerSchool2015DoesLoveWin
Does Love Win? The Mechanics of Memetics (2015). https://wiki.digitalmethods.net/Dmi/
SummerSchool2015DoesLoveWin
#Whomademyclothes - Seeking the
Voices of the Workers
What Does a Good Digital Methods Project Look Like?
Can we find the voices of the
workers online? How can we profile
them?
#Whomademyclothes - Seeking the voices of the workers (2015). https://wiki.digitalmethods.net/Dmi/
HTwhomademyclothes
#Whomademyclothes - Seeking the voices of the workers (2015). https://wiki.digitalmethods.net/Dmi/
HTwhomademyclothes
#Whomademyclothes - Seeking the voices of the workers (2015). https://wiki.digitalmethods.net/Dmi/
HTwhomademyclothes
#Whomademyclothes - Seeking the voices of the workers (2015). https://wiki.digitalmethods.net/Dmi/
HTwhomademyclothes
#Whomademyclothes - Seeking the voices of the workers (2015). https://wiki.digitalmethods.net/Dmi/
HTwhomademyclothes
Tracking Ecologies
Tracking Ecologies (2015). https://wiki.digitalmethods.net/Dmi/SummerSchool2015TrackingEcologies
Can we identify tracker styles per
website type?
Tracking Ecologies (2015). https://wiki.digitalmethods.net/Dmi/SummerSchool2015TrackingEcologies
Tracking Ecologies (2015). https://wiki.digitalmethods.net/Dmi/SummerSchool2015TrackingEcologies
Tracking Ecologies (2015). https://wiki.digitalmethods.net/Dmi/SummerSchool2015TrackingEcologies
Tracking Ecologies (2015). https://wiki.digitalmethods.net/Dmi/SummerSchool2015TrackingEcologies
Tracking Ecologies (2015). https://wiki.digitalmethods.net/Dmi/SummerSchool2015TrackingEcologies
Micro-Temporalities of the Web
What is the ‘page weight’ of bugs
(trackers, beacons, widgets and other
devices) and how can we experience
their micro-temporalities differently?
Micro-Temporalities of the Web (2015). http://gauthiier.github.io/www-micro-temporalities/
Some data sprint tips from last year’s project coordinators
• Spend time with your data.
• Test hypotheses and tools on small datasets first.
• Don't start with theory but start with the question, the claims (in
the literature or press) and the data; let the data inform theory.
• Let your expectations be challenged and shaped by the data.
• Split big groups into subgroups.
• Be persistent - there are always ups and downs.
• Take your coffee breaks :-)
Thank you!
Liliana Bounegru | lilianabounegru.org | @bb_liliana

More Related Content

What Does a Good Digital Methods Project Look Like?

  • 1. What Does a Good Digital Methods Project Look Like? 11 January 2016, University of Amsterdam Liliana Bounegru | lilianabounegru.org | @bb_liliana Some Highlights from the DMI Winter and Summer Schools 2015
  • 2. DMI Winter School 2015! ! Show Me Your Dashboard: New Media Monitoring and Data Analytics as Critical Practice
  • 3. How may we identify and develop critical data analytics?
  • 6. Where is the social in social media platforms?
  • 7. The People’s Dashboard (2015). https://wiki.digitalmethods.net/Dmi/PeoplesDashboard Facebook Instagram LinkedIn Twitter YouTube LastFm
  • 8. The People's Dashboard plug-in for Facebook: http://bit.ly/peoplesdashboard
  • 9. The Hong Kong Protests Through the Eyes of Weibo
  • 10. How may we study public sentiment on social media platforms?
  • 11. The Hong Kong protests through the eyes of Weibo (2015). https://wiki.digitalmethods.net/Dmi/ TheHongKongProtestsThroughTheEyesOfWeibo
  • 12. The Hong Kong protests through the eyes of Weibo (2015). https://wiki.digitalmethods.net/Dmi/ TheHongKongProtestsThroughTheEyesOfWeibo
  • 13. DMI Summer School 2015! ! Post-Snowden Media Empiricism and Secondary Social Media: Data Studies Beyond Facebook and Twitter
  • 16. How may we rethink the study of online media post-Snowden? ! What value do secondary social media platforms have for research?
  • 17. Political Memes in a Globalised World:! Does Love Win?
  • 18. Does Love Win? The Mechanics of Memetics (2015). https://wiki.digitalmethods.net/Dmi/ SummerSchool2015DoesLoveWin
  • 19. Does Love Win? The Mechanics of Memetics (2015). https://wiki.digitalmethods.net/Dmi/ SummerSchool2015DoesLoveWin
  • 20. Can we map the geographies of expressions of support and their counter-reactions?
  • 21. Does Love Win? The Mechanics of Memetics (2015). https://wiki.digitalmethods.net/Dmi/ SummerSchool2015DoesLoveWin
  • 22. Does Love Win? The Mechanics of Memetics (2015). https://wiki.digitalmethods.net/Dmi/ SummerSchool2015DoesLoveWin
  • 23. #Whomademyclothes - Seeking the Voices of the Workers
  • 25. Can we find the voices of the workers online? How can we profile them?
  • 26. #Whomademyclothes - Seeking the voices of the workers (2015). https://wiki.digitalmethods.net/Dmi/ HTwhomademyclothes
  • 27. #Whomademyclothes - Seeking the voices of the workers (2015). https://wiki.digitalmethods.net/Dmi/ HTwhomademyclothes
  • 28. #Whomademyclothes - Seeking the voices of the workers (2015). https://wiki.digitalmethods.net/Dmi/ HTwhomademyclothes
  • 29. #Whomademyclothes - Seeking the voices of the workers (2015). https://wiki.digitalmethods.net/Dmi/ HTwhomademyclothes
  • 30. #Whomademyclothes - Seeking the voices of the workers (2015). https://wiki.digitalmethods.net/Dmi/ HTwhomademyclothes
  • 32. Tracking Ecologies (2015). https://wiki.digitalmethods.net/Dmi/SummerSchool2015TrackingEcologies
  • 33. Can we identify tracker styles per website type?
  • 34. Tracking Ecologies (2015). https://wiki.digitalmethods.net/Dmi/SummerSchool2015TrackingEcologies
  • 35. Tracking Ecologies (2015). https://wiki.digitalmethods.net/Dmi/SummerSchool2015TrackingEcologies
  • 36. Tracking Ecologies (2015). https://wiki.digitalmethods.net/Dmi/SummerSchool2015TrackingEcologies
  • 37. Tracking Ecologies (2015). https://wiki.digitalmethods.net/Dmi/SummerSchool2015TrackingEcologies
  • 38. Tracking Ecologies (2015). https://wiki.digitalmethods.net/Dmi/SummerSchool2015TrackingEcologies
  • 40. What is the ‘page weight’ of bugs (trackers, beacons, widgets and other devices) and how can we experience their micro-temporalities differently?
  • 41. Micro-Temporalities of the Web (2015). http://gauthiier.github.io/www-micro-temporalities/
  • 42. Some data sprint tips from last year’s project coordinators • Spend time with your data. • Test hypotheses and tools on small datasets first. • Don't start with theory but start with the question, the claims (in the literature or press) and the data; let the data inform theory. • Let your expectations be challenged and shaped by the data. • Split big groups into subgroups. • Be persistent - there are always ups and downs. • Take your coffee breaks :-)
  • 43. Thank you! Liliana Bounegru | lilianabounegru.org | @bb_liliana