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Re-Inventing Journalism at
Myanmar?
Peter Verweij
Yangon Myanmar
May 2016
After the census the UNFPA started with a journalism
programme for capacity building
The core element is working with credible data, starting with
census data
Census data is used start a training in data journalism,
aiming at enhancing quality of reporting and training data
Journalism trainers(ToT)
We showed some of the results and of course hope
data journalism will become a new routine in various
Newsrooms. Here is the complete overview of topics
About the UNFPA Census Data
Name Subject
Mr Zaw Htike
Ms Aye Aye Zin
Water distribution Yangon
Mr Thit Nay Moe Unemployment Myanmar
Mr Su Myat Wai
Ms Lae Lae Thin
Ownership housing Yangon
Ms Aye Thida Kyavv Electricity consumption Yangon
Mr Aung Kyaw Zin
Mr Than Htike Aung
Disability Iyyawardy
Mr Ni Toe
Ms Lamung Lu Seng
Employment Yangon
Ms Myat Su Man Sanitation Rakhine
Ms Yin Saning Life expectancy in Mon
Mr Zaw Kham Hein House ownership in Nay Pyi Taw
The Guardian over Riots and
Poverty
Simon Rogers:
- free software
- open data
- checking power elite
Steve Doig:
- Social science done on deadline
Philip Meyer:
- Precison journalism: using the tools of science to improve
reporting
WHAT IS YOUR CONCLUSION?
Data Journalism is already 50
years old
Philip Meyer: 1968 Detroit Riots; Dem
Convention; using
IBM mainframe: Precison Journalism:
using the tools of
science to improve reporting
1990 PC using spreadsheets, databases,
maps: CARR
Drunken driving
Doig: Hurricane Andrew
2000 turned into set skills: xls gis scrape
crack pdf mapping
Data Journalism data driven journalism
ddj
Data Journalism Made Easy
- Skills were important but
made DDJ expensive and
slow for day today
production
- Services for DDJ on the
web: Datawrapper;
Localfocus, Cartodb
for graphs and maps
- Open data, create apps for
accessing data
- Projects: skills still needed
and visualization D3
Why data journalism?
•From print to online
•From text to multimedia
production
•From news to background,
analysis, investigations and
features
•Looking for a new business
model and for a new journalist
•http://www.economist.c
om/node/18904136
News is Everywhere for Free
-Users do not primarily focus
on news; they scan Google
News, Blogs, Facebook,
Twitter;
- Journalism has died together
with the crisis in the
media/newspaper business
- Media: newspapers/TV
reinvent through extras to the
news: background, analysis,
features and data project:
Upshot
- The business model: attract
readers from online to print
Pick up journalism tradition in a
democratic society
Informing the public
Adding to transparency of
decision making
Credible data
Re-Inventing Journalism at Yangon?
Re-Inventing 2
Enhancing quality of reporting
Using modern technology:
online and mobile
Re-Inventing 3
census data
Census data=credible
data
Stories in the data on
the union level
Stories by comparing
regions
Stories Inside regions
Re-Inventing 4
census data
Stories comparing
Myanmar with
neighbors
Journalist have to dig
in to these data and
turn them into stories
About for example:
disability, life
expectancy, water,
sanitation, housing
child labor
I am looking forward to these
stories.
Thank you very much!
Drs Peter Verweij D3-MEDIA
peter@d3-media.nl
Web: www.d3-media.nl
Blogs: d3-media.blogspot.com

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Reinventing

  • 1. Re-Inventing Journalism at Myanmar? Peter Verweij Yangon Myanmar May 2016
  • 2. After the census the UNFPA started with a journalism programme for capacity building The core element is working with credible data, starting with census data Census data is used start a training in data journalism, aiming at enhancing quality of reporting and training data Journalism trainers(ToT) We showed some of the results and of course hope data journalism will become a new routine in various Newsrooms. Here is the complete overview of topics About the UNFPA Census Data
  • 3. Name Subject Mr Zaw Htike Ms Aye Aye Zin Water distribution Yangon Mr Thit Nay Moe Unemployment Myanmar Mr Su Myat Wai Ms Lae Lae Thin Ownership housing Yangon Ms Aye Thida Kyavv Electricity consumption Yangon Mr Aung Kyaw Zin Mr Than Htike Aung Disability Iyyawardy Mr Ni Toe Ms Lamung Lu Seng Employment Yangon Ms Myat Su Man Sanitation Rakhine Ms Yin Saning Life expectancy in Mon Mr Zaw Kham Hein House ownership in Nay Pyi Taw
  • 4. The Guardian over Riots and Poverty
  • 5. Simon Rogers: - free software - open data - checking power elite Steve Doig: - Social science done on deadline Philip Meyer: - Precison journalism: using the tools of science to improve reporting WHAT IS YOUR CONCLUSION?
  • 6. Data Journalism is already 50 years old Philip Meyer: 1968 Detroit Riots; Dem Convention; using IBM mainframe: Precison Journalism: using the tools of science to improve reporting 1990 PC using spreadsheets, databases, maps: CARR Drunken driving Doig: Hurricane Andrew 2000 turned into set skills: xls gis scrape crack pdf mapping Data Journalism data driven journalism ddj
  • 7. Data Journalism Made Easy - Skills were important but made DDJ expensive and slow for day today production - Services for DDJ on the web: Datawrapper; Localfocus, Cartodb for graphs and maps - Open data, create apps for accessing data - Projects: skills still needed and visualization D3
  • 8. Why data journalism? •From print to online •From text to multimedia production •From news to background, analysis, investigations and features •Looking for a new business model and for a new journalist •http://www.economist.c om/node/18904136
  • 9. News is Everywhere for Free -Users do not primarily focus on news; they scan Google News, Blogs, Facebook, Twitter; - Journalism has died together with the crisis in the media/newspaper business - Media: newspapers/TV reinvent through extras to the news: background, analysis, features and data project: Upshot - The business model: attract readers from online to print
  • 10. Pick up journalism tradition in a democratic society Informing the public Adding to transparency of decision making Credible data Re-Inventing Journalism at Yangon?
  • 11. Re-Inventing 2 Enhancing quality of reporting Using modern technology: online and mobile
  • 12. Re-Inventing 3 census data Census data=credible data Stories in the data on the union level Stories by comparing regions Stories Inside regions
  • 13. Re-Inventing 4 census data Stories comparing Myanmar with neighbors Journalist have to dig in to these data and turn them into stories About for example: disability, life expectancy, water, sanitation, housing child labor
  • 14. I am looking forward to these stories. Thank you very much! Drs Peter Verweij D3-MEDIA peter@d3-media.nl Web: www.d3-media.nl Blogs: d3-media.blogspot.com