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The movement of Digital Humanities
and its impact on Social Sciences
Mokhtar BEN HENDA
Bordeaux University
28 October 2019
What are DH?
 All the ways that the humanities and digital
technologies intersect
 Humanities are academic disciplines that
study aspects of human society and culture
(H&SS):
– Humanities & Social Sciences:
• Anthropology, Archaeology, Classics, Communication
studies, Economics, Education, History, Linguistics and
languages, Law and politics, Musicology, Human
geography, Jurisprudence, Literature, Philosophy,
Political science, Psychology, Public health, Religion,
Sociology, Arts, Visual & Performing, etc.
What are DH?
 Digital technologies are electronic tools,
systems, devices and resources that
generate, store or process data:
– Application softwares (tools):
• Text editors, text analysis, photo editing, text
encoding, video editing, social media, …
– Processes (actions):
• Document scanning, OCR, encoding, indexing,
referencing, Data formatting, Data analysis, Data
converting, …
– Digital data (contents):
• Digital text, digital audio, digital images, digital
video, web pages and websites, data and
databases, electronic books…
Definitions
“Digital Humanities is born of the
encounter between traditional
humanities and computational
methods.” – Anne Burdick
“Digital humanities is work at the
intersection of digital technology and
humanities disciplines.” – Johanna
Drucker
Goals of DH
The goal of digital humanities is to:
– “integrate modern information technology into traditional
humanistic research and teaching processes”.
XiaojuanXU, 2018
– “gather, refine, maintain and share cultural resources that
can subsequently be used and refined by scholars and
members of the community”
Marinos Ioannides, 2016
World success
 The discipline of DH is
becoming in the center of
academic activity.
 Hundreds of scientific
research centers of digital
humanities worldwide.
 DH are taught at
universities around the
world.
 (non-)Conferences are
held worldwide.
 Scientific journals are
dedicated to DH.
Historic milestones
 The emergence of Digital Humanities is closely linked to the development
of the computer. These are some of the milestones:
– 1949: With the help of IBM, Roberto Busa, an Italian Jesuit, embarks on a major
computer-assisted edition project. Indexing the Work of Thomas Aquinas (Priest).
– 1973: Europe’s digital humanists form the Association for Literary and Linguistic
Computing, which later becomes the EADH.
– 1986: Literary and Linguistic Computing (LLC), the leading specialist journal in the
research field, appears for the first time.
– 1994: Technical standards are set with TEI, a format for encoding and exchanging
texts that is still used today.
– 2004: Google Books is born. Today, this online project is the largest library in the
world with an estimated 25 million titles.
– 2006: The Digital Humanities Initiative is launched in the USA. This funding
programme gives a push to the entire research field =
A worldwide movement !
DH organisations
DH ThatCamps (un-conferences)
 A user-generated
“unconference” on digital
humanities.
 Open, inexpensive meeting
where humanists and
technologists of all skill levels
learn and build together in
sessions proposed on the
moment.
 The structure and agenda is
decided on-site on the first day
of the un-conference.
 No papers. No panels. But
productive results, networking,
and knowledge sharing
DH as a World Movement
DH projects
 Digital Humanities projects are interdisciplinary
 Digital humanities projects are labor-intensive and require the work of project
teams, collaborators
 They involve a team or a lab, which may be composed of faculty, staff, graduate or
undergraduate students, information technology specialists, and partners in
galleries, libraries, archives, and museums
 Digital humanities projects allow people to step outside the world of print and enter
a world of interactive maps, digital timelines and archives containing millions of
digital books
DH Working Methods
Data Annotation (tagging)
Text Analysis & Data Mining
Digital Exhibitions
Digital Mapping/GIS
Data Visualization
Linked Data
Photogrammetry, Virtual
Worlds, 3-D Modeling
Data encoding, annotation
Author : George Orwell
Title : 1984
Type : Fiction-O-1
Author : Agatha Christie
Title : N ou M
Type : Policier-C-15
Litterary genres
Different
content
structures
according to
litterary genres
Different structure types
Different structure types
Different structure types
 Minimal skills:
HSS specialist
Technician
Data specialist (librarian)
HSS Corpus
A DH project organization
A DH corpora
HSS CorpusPoetry
Theatre Tales
Music Manuscrips Speeches
Fabula
All other types
Videos
Paintings
Database of HSS resources
Softwares
Text analysis projects:
Text Analysis is a way for researchers to
gather/extract information about authors and their
way of creating sense in their writings
• https://www.theguardian.com/books/2009/apr/03/agatha-
christie-alzheimers-research
Mapping and GIS projects
 GIS (Geographic Information
System) is a system designed to
capture, store, manipulate,
analyze, manage, and present all
types of geographical data.
 Example : The Bomb Sight project:
– mapping the London WW2 bomb
census between 7/10/1940 and
06/06/1941
– by scanning original 1940s bomb
census maps (geographical locations
of all the falling bombs recorded on
the original maps)
http://bombsight.org/#15/51.5050/-0.0900
Mapping and GIS projects
 Example : memory of
migration:
– hosting 365,951 stories
pinned across 27,844
projects and tours – across
2,600 cities. Built by a
community of 80,000+
storytellers, archivists and
citizen historians.
– collecting, curating and
structuring stories
http://bombsight.org/#15/51.5050/-0.0900
Mapping and GIS projects
Example : An Interactive
Tour through Hillerman's
Novels: The Blessing
Way:
– mapping the US cities
mentioned in every novel
of Hillerman
https://univofnm.maps.arcgis.com/apps/MapJournal/index.html?appid=d67
9af73baec47fb945e81510a820195
Some DH tools
Selected Free Text Analysis Tools
 Wordle (http://wordle.net) Free
 Voyant Tools (https://voyant-
tools.org/) Free
 Mallet (http://mallet.cs.umass.edu/)
Free
 WordStat
(http://www.predictiveanalyticstoday
.com) – Add on for QDA Miner $$$
Selected mappings and GIS tools
Google maps: https://www.google.com/maps
History pins: https://www.historypin.org/en/
QGIS: https://www.qgis.org/fr/site/
ArcGIS: https://www.arcgis.com/index.html
Let’s do some TEXT practice
 Text Analyzer: https://www.online-utility.org/text/analyzer.jsp
– Use any URL of your choice and let the online tools find the most frequent phrases and frequencies
of words
 Text Statistics Analyser : https://www.usingenglish.com/resources/text-statistics/
– More sophisticated statitics
 A lot of Data mining tools at: https://guides.nyu.edu/tdm/tools
– Data mining is a research technique to uncover patterns in large data sets. Data mining techniques
range from machine learning applications, to GIS and mapping, to business intelligence.
Let’s do some Graphic/text practice
Voyant tool: https://voyant-tools.org/?lang=en
Let’s do some TEXT practice
 Voyant tool: https://voyant-tools.org/?lang=en
– Use the URL of the Universal Declaration of Human Rights at URL: https://www.un.org/en/universal-declaration-
human-rights/
 The 3 main parts of the result screen are:
– On the left, the area that shows the clouds Tags (Cirrus), the occurrences of words in the text (Terms) and semantic
links between terms (Links)
– The middle area displays the text that is the subject of analysis. Select a word and it will be highlighted throughout the
text years
– The right area shows the curve of the most frequent words, the number of occurrences of words and their
proportions relative to the entire text

 The lower half of the screen displays:
– Left the summary of the document analyzed, the documents in the case of a body being analyzed, and phrases (group
of words as a unit)
– On the right, the context of each of the words extracted, and a line of bubbles of different sizes depending on the
occurrence of each term.
– Play with the elements of the different areas of the screen to see the interaction between the various modules. A
definite choice implies a dynamic change in the other modules.
Let’s practice some Web analysis
 Datawrapper:
https://www.datawr
apper.de/
– Select Map option
– Clic on « Create A
Map »
– Create a map of the
10 largest cities in
Vietnam (locator
map)
– Add Marker (Hanoï,
Ho Chi Minh,
Danang…)
Let’s do some GRAPHIC practice
 Google Books Ngram Viewer :
– https://books.google.com/ngrams
– Type in a word or phrase in
one of seven languages
(English, French, German,
Spanish, Hebrew, Russian,
Chinese) and see how its usage
frequency has been changing
throughout the past few
centuries.
– Note: the dataset's quality is
highest for English between
1800 and 2000
Let’s practice some Web analysis
 Semrush for digital
marketing
professionals:
https://www.semrush.com/
 Register for free to
SEMrush then choose
Websites to monitor
their audience
 Analyze VASS website
Let’s practice some Web analysis
 Google Trends for
Websites:
– Measures and compares
the keywords and search
phrases on the web.
– Analysis by country and
region.
– Compare « Industry
4.0 » and « Artificial
intelligence » in Vietnam
Further ressources for practice
More many tools by category
https://library.nyu.edu/

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Digital humanities

  • 1. The movement of Digital Humanities and its impact on Social Sciences Mokhtar BEN HENDA Bordeaux University 28 October 2019
  • 2.
  • 3. What are DH?  All the ways that the humanities and digital technologies intersect  Humanities are academic disciplines that study aspects of human society and culture (H&SS): – Humanities & Social Sciences: • Anthropology, Archaeology, Classics, Communication studies, Economics, Education, History, Linguistics and languages, Law and politics, Musicology, Human geography, Jurisprudence, Literature, Philosophy, Political science, Psychology, Public health, Religion, Sociology, Arts, Visual & Performing, etc.
  • 4. What are DH?  Digital technologies are electronic tools, systems, devices and resources that generate, store or process data: – Application softwares (tools): • Text editors, text analysis, photo editing, text encoding, video editing, social media, … – Processes (actions): • Document scanning, OCR, encoding, indexing, referencing, Data formatting, Data analysis, Data converting, … – Digital data (contents): • Digital text, digital audio, digital images, digital video, web pages and websites, data and databases, electronic books…
  • 5. Definitions “Digital Humanities is born of the encounter between traditional humanities and computational methods.” – Anne Burdick “Digital humanities is work at the intersection of digital technology and humanities disciplines.” – Johanna Drucker
  • 6. Goals of DH The goal of digital humanities is to: – “integrate modern information technology into traditional humanistic research and teaching processes”. XiaojuanXU, 2018 – “gather, refine, maintain and share cultural resources that can subsequently be used and refined by scholars and members of the community” Marinos Ioannides, 2016
  • 7. World success  The discipline of DH is becoming in the center of academic activity.  Hundreds of scientific research centers of digital humanities worldwide.  DH are taught at universities around the world.  (non-)Conferences are held worldwide.  Scientific journals are dedicated to DH.
  • 8. Historic milestones  The emergence of Digital Humanities is closely linked to the development of the computer. These are some of the milestones: – 1949: With the help of IBM, Roberto Busa, an Italian Jesuit, embarks on a major computer-assisted edition project. Indexing the Work of Thomas Aquinas (Priest). – 1973: Europe’s digital humanists form the Association for Literary and Linguistic Computing, which later becomes the EADH. – 1986: Literary and Linguistic Computing (LLC), the leading specialist journal in the research field, appears for the first time. – 1994: Technical standards are set with TEI, a format for encoding and exchanging texts that is still used today. – 2004: Google Books is born. Today, this online project is the largest library in the world with an estimated 25 million titles. – 2006: The Digital Humanities Initiative is launched in the USA. This funding programme gives a push to the entire research field = A worldwide movement !
  • 10. DH ThatCamps (un-conferences)  A user-generated “unconference” on digital humanities.  Open, inexpensive meeting where humanists and technologists of all skill levels learn and build together in sessions proposed on the moment.  The structure and agenda is decided on-site on the first day of the un-conference.  No papers. No panels. But productive results, networking, and knowledge sharing
  • 11.
  • 12. DH as a World Movement
  • 13. DH projects  Digital Humanities projects are interdisciplinary  Digital humanities projects are labor-intensive and require the work of project teams, collaborators  They involve a team or a lab, which may be composed of faculty, staff, graduate or undergraduate students, information technology specialists, and partners in galleries, libraries, archives, and museums  Digital humanities projects allow people to step outside the world of print and enter a world of interactive maps, digital timelines and archives containing millions of digital books
  • 14. DH Working Methods Data Annotation (tagging) Text Analysis & Data Mining Digital Exhibitions Digital Mapping/GIS Data Visualization Linked Data Photogrammetry, Virtual Worlds, 3-D Modeling
  • 15. Data encoding, annotation Author : George Orwell Title : 1984 Type : Fiction-O-1 Author : Agatha Christie Title : N ou M Type : Policier-C-15
  • 20.  Minimal skills: HSS specialist Technician Data specialist (librarian) HSS Corpus A DH project organization
  • 21. A DH corpora HSS CorpusPoetry Theatre Tales Music Manuscrips Speeches Fabula All other types Videos Paintings Database of HSS resources Softwares
  • 22. Text analysis projects: Text Analysis is a way for researchers to gather/extract information about authors and their way of creating sense in their writings • https://www.theguardian.com/books/2009/apr/03/agatha- christie-alzheimers-research
  • 23.
  • 24. Mapping and GIS projects  GIS (Geographic Information System) is a system designed to capture, store, manipulate, analyze, manage, and present all types of geographical data.  Example : The Bomb Sight project: – mapping the London WW2 bomb census between 7/10/1940 and 06/06/1941 – by scanning original 1940s bomb census maps (geographical locations of all the falling bombs recorded on the original maps) http://bombsight.org/#15/51.5050/-0.0900
  • 25. Mapping and GIS projects  Example : memory of migration: – hosting 365,951 stories pinned across 27,844 projects and tours – across 2,600 cities. Built by a community of 80,000+ storytellers, archivists and citizen historians. – collecting, curating and structuring stories http://bombsight.org/#15/51.5050/-0.0900
  • 26. Mapping and GIS projects Example : An Interactive Tour through Hillerman's Novels: The Blessing Way: – mapping the US cities mentioned in every novel of Hillerman https://univofnm.maps.arcgis.com/apps/MapJournal/index.html?appid=d67 9af73baec47fb945e81510a820195
  • 28. Selected Free Text Analysis Tools  Wordle (http://wordle.net) Free  Voyant Tools (https://voyant- tools.org/) Free  Mallet (http://mallet.cs.umass.edu/) Free  WordStat (http://www.predictiveanalyticstoday .com) – Add on for QDA Miner $$$
  • 29. Selected mappings and GIS tools Google maps: https://www.google.com/maps History pins: https://www.historypin.org/en/ QGIS: https://www.qgis.org/fr/site/ ArcGIS: https://www.arcgis.com/index.html
  • 30. Let’s do some TEXT practice  Text Analyzer: https://www.online-utility.org/text/analyzer.jsp – Use any URL of your choice and let the online tools find the most frequent phrases and frequencies of words  Text Statistics Analyser : https://www.usingenglish.com/resources/text-statistics/ – More sophisticated statitics  A lot of Data mining tools at: https://guides.nyu.edu/tdm/tools – Data mining is a research technique to uncover patterns in large data sets. Data mining techniques range from machine learning applications, to GIS and mapping, to business intelligence.
  • 31. Let’s do some Graphic/text practice Voyant tool: https://voyant-tools.org/?lang=en
  • 32.
  • 33. Let’s do some TEXT practice  Voyant tool: https://voyant-tools.org/?lang=en – Use the URL of the Universal Declaration of Human Rights at URL: https://www.un.org/en/universal-declaration- human-rights/  The 3 main parts of the result screen are: – On the left, the area that shows the clouds Tags (Cirrus), the occurrences of words in the text (Terms) and semantic links between terms (Links) – The middle area displays the text that is the subject of analysis. Select a word and it will be highlighted throughout the text years – The right area shows the curve of the most frequent words, the number of occurrences of words and their proportions relative to the entire text   The lower half of the screen displays: – Left the summary of the document analyzed, the documents in the case of a body being analyzed, and phrases (group of words as a unit) – On the right, the context of each of the words extracted, and a line of bubbles of different sizes depending on the occurrence of each term. – Play with the elements of the different areas of the screen to see the interaction between the various modules. A definite choice implies a dynamic change in the other modules.
  • 34. Let’s practice some Web analysis  Datawrapper: https://www.datawr apper.de/ – Select Map option – Clic on « Create A Map » – Create a map of the 10 largest cities in Vietnam (locator map) – Add Marker (Hanoï, Ho Chi Minh, Danang…)
  • 35. Let’s do some GRAPHIC practice  Google Books Ngram Viewer : – https://books.google.com/ngrams – Type in a word or phrase in one of seven languages (English, French, German, Spanish, Hebrew, Russian, Chinese) and see how its usage frequency has been changing throughout the past few centuries. – Note: the dataset's quality is highest for English between 1800 and 2000
  • 36. Let’s practice some Web analysis  Semrush for digital marketing professionals: https://www.semrush.com/  Register for free to SEMrush then choose Websites to monitor their audience  Analyze VASS website
  • 37. Let’s practice some Web analysis  Google Trends for Websites: – Measures and compares the keywords and search phrases on the web. – Analysis by country and region. – Compare « Industry 4.0 » and « Artificial intelligence » in Vietnam
  • 38. Further ressources for practice More many tools by category https://library.nyu.edu/