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Introducing digital humanities
through the analysis of
cultural productions
Everardo Reyes
Université de Paris 13
ereyes.net
Université de Lausanne, Switzerland, July 11th.
DH2014 | Digital Humanities 2014
1. tailored toolkits of digital methods
2. analysis of complex properties of cultural productions
3. toward design-based learning
possible approaches to our contribution:3
create your own Analytical Maps
select a cultural production
gather data: media + metadata
perform information processing techniques
analyse with social and human sciences methods
toolkits of digital methods
Examples of Analytical Maps
made by students
Student Sonia Haddad
Large JPG made with Photoshop
networks
chromatic
values
word clouds
text analytics
Our toolkit relies on web-based software and services
Get texts Text Analysis
Wikipedia,
Projet Gutenberg, newpapers,
Gallica BNF,
Open Edition Books
Word Count Tools, Wordle,
Ngram Viewer, Voyant,
Many Eyes,
Wolfram Personal Analytics,
Google Account Activity
Image Analysis Get Metadata
Pixlr, Rainbow Color Tools, Color Inspector
3D, Histogram Viewer, ColoRotate
IMDB, AllMusic, mvdbase, Amazon, Google
Books, Comic Book DB, Google Zeitgeist
Use and create networks
Touchgraph, LinkedIn maps,
Many Eyes,
Get Friend Map, LivePlasma,
Fineo/Raw
Revealing student patterns
• type of productions they chose? mainly albums and films;
• top 6 artists: Michael Jackson, Amy Winehouse, The Velvet
Underground, Lou Reed, Rihanna, Beyoncé;
• top 4 movie directors: B. Sonnenfeld, Q. Tarantino, R. Zemeckis, J.
Cameron
Supports used to design the analytical maps
use of toolkits (re)design of tools,
services,
interfaces
…toward design-based learning
use of media
software to design
your own analytical maps
coming activities for
designing tools
Analysis of ideology and algorithmic procedures of UI:
what our tools have virtualized and/or remediated?
Experimental Media Visualizations
new models to analyse images
3D print the object of analysis
Thank you for your attention
E. Reyes, Université de Paris 13
// ereyes.net
http://bit.ly/1fMDOgV
Course resources

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Introducing digital humanities through the analysis of cultural productions

  • 1. Introducing digital humanities through the analysis of cultural productions Everardo Reyes Université de Paris 13 ereyes.net Université de Lausanne, Switzerland, July 11th. DH2014 | Digital Humanities 2014
  • 2. 1. tailored toolkits of digital methods 2. analysis of complex properties of cultural productions 3. toward design-based learning possible approaches to our contribution:3
  • 3. create your own Analytical Maps select a cultural production gather data: media + metadata perform information processing techniques analyse with social and human sciences methods toolkits of digital methods
  • 4. Examples of Analytical Maps made by students
  • 5. Student Sonia Haddad Large JPG made with Photoshop
  • 7. Our toolkit relies on web-based software and services Get texts Text Analysis Wikipedia, Projet Gutenberg, newpapers, Gallica BNF, Open Edition Books Word Count Tools, Wordle, Ngram Viewer, Voyant, Many Eyes, Wolfram Personal Analytics, Google Account Activity Image Analysis Get Metadata Pixlr, Rainbow Color Tools, Color Inspector 3D, Histogram Viewer, ColoRotate IMDB, AllMusic, mvdbase, Amazon, Google Books, Comic Book DB, Google Zeitgeist Use and create networks Touchgraph, LinkedIn maps, Many Eyes, Get Friend Map, LivePlasma, Fineo/Raw
  • 8. Revealing student patterns • type of productions they chose? mainly albums and films; • top 6 artists: Michael Jackson, Amy Winehouse, The Velvet Underground, Lou Reed, Rihanna, Beyoncé; • top 4 movie directors: B. Sonnenfeld, Q. Tarantino, R. Zemeckis, J. Cameron
  • 9. Supports used to design the analytical maps
  • 10. use of toolkits (re)design of tools, services, interfaces …toward design-based learning use of media software to design your own analytical maps
  • 12. Analysis of ideology and algorithmic procedures of UI: what our tools have virtualized and/or remediated?
  • 13. Experimental Media Visualizations new models to analyse images
  • 14. 3D print the object of analysis
  • 15. Thank you for your attention E. Reyes, Université de Paris 13 // ereyes.net http://bit.ly/1fMDOgV Course resources