Data and journalism: A pot of gold at the end of the rainbow?
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Presentation from the International Journalism Festival 2015 in Perugia. This panel was part of the 2015 School of Data, organized by the Open Knowledge Foundation and the European Journalism Center. These slides were used as an introduction to a panel discussing the various ways on how to use data: - for reporting - to understand audiences and their needs - to (potentially) create new services to fund journalism
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Data-driven journalism, every day
This is a practical presentation from NODA 2017, the Nordic Data conference, this year held in Odense. The presentation discusses tools (specifically Datawrapper) and general editorial approaches to data-driven journalism. The presentation advocates a pragmatic approach - based on searching for data, questioning, visualisation and written texts. This approach could provide opportunities specifically for regional/local media.
Be aware that as this is a presentation from the people behind Datawrapper the tool is discussed and presented on a number of slides in this presentation.
Crossmedia: Nicht auf die Tools, auf die Story kommt es an
Deutsche Version von "Focus on Story": Planung, Produktion und Publikation starker Geschichten.
Focus on story, don't be seduced by sexy tools: How journalists can create gr...
This is a presentation for journalists and anybody interested in why and how stories can have impact. This is all about on how to find the best form for a strong story.
This is not easy. There are so many options and new tools. The key message of this presentation is that the focus should be on creating the story.
Which calls for an understanding why some stories are strong and lasting, while many are not. Additionally one must understand how the creation process works, which is best done by example and practice (of course).
The original presentation was held as the TASC Storycamp for the finalists of the African Story Challgenge, in Marrakesh, on August 11, 2014.
http://africanstorychallenge.com
Note: This version has been adapted, extended and linked to make up for the missing narrative. I added numerous links to examples, picture credits and tried to get rid of embarrassing typos.
Please feel free to download, link and tweet this.
Leave comments on examples for good and great stories and on how to create them - much appreciated.
Why What WHEN - Demonstrator/prototype from Media Hack Day Berlin (October 2013)
Why What When is an exploration, created in 36 hours. The challenge at the Mediahackday was to make better use of archived content. See for yourself what we came up with…
(IHINT: Links in PDF will work)
Hack the newsroom: Deutsche Welle Project at #GEN13 Global Editors Network Ne...
This document discusses a tool created by Deutsche Welle to help young people choose careers by using open data and job statistics. The tool calculates lifetime income potential for different professions based on factors like training time, typical pay, job availability, and industry stability. It was prototyped in two days using extensive open data and national job statistics. The aim is to provide relevant career guidance to young users and help them make informed choices about their education and professional paths. An example output shows the potential differences in lifetime income that the same job could provide depending on whether one is self-employed or employed. The tool is now live online for users to explore career options and discuss results with others.
I pay this, you pay that. Crowdsourcing local costs of living (Prototype) #ddj
Presentation about our Deutsche Welle project at the Global Editors Network Hackathon in Berlin, June 2013. The idea was the winner of that event. (with Cosmin Cabulea, Xiegong Fischer)
What is data-driven journalism? (Slides from naprej:forward 2012)
This document discusses data-driven journalism and its potential to save struggling newsrooms. It defines data-driven journalism as using data to transform boring information into relevant stories. The document notes that while media businesses are struggling, data-driven journalism offers opportunities through tools like open data and data visualizations. It presents examples of data-driven stories and argues that newsrooms should embrace a data-aware approach, combining the skills of journalists, developers and designers. The document concludes by inviting the reader to join the community practicing this type of innovative journalism.
Data-driven journalism: What is there to learn? (Documentation from Amsterdam...
This is an 80 page documentation I wrote about the talks given at the Amsterdam Data-driven journalism round table. The event was organized by the EJC (European Journalism Centre), together with Liliana Bounegru. Speakers included: Simon Rogers (Guardian), Nicolas Kayser-Bril (Journalism++), Cynthia O'Murchu (Financial Times), Lorenz Matzat (Open Data City) and many more. Their talks are documented here with the main slides, etc.
Datawrapper - What it is and how it works
Datawrapper is an open source tool that enables journalists to create simple, correct, and embeddable charts in just a few steps without needing to code. It was created to address the gap for journalists who wanted to tell stories with data but found other visualization libraries too difficult to use. Datawrapper charts are customizable while also being simple, correct, embeddable, and usable for print workflows. Since its public beta launch in 2012, it has gained popularity with over a million chart views in its first six months and continues improving with upcoming new versions that will include both free and paid options.
Datawrapper (ABZV)
Datawrapper is a tool that allows users to create simple, correct charts from data in just four steps: uploading data, annotating it, visualizing it, and embedding the chart. It is designed for journalists and aims to make data visualization fast and easy. Datawrapper charts are free, open source, can be hosted online or locally, and allow newsrooms to retain ownership of their data. The goal is to help journalists put numbers in context through data-driven storytelling.
Wege in den Datenjournalismus (Anna-Lena Krampe)
Das hier ist die von Anna-Lena Krampe gehaltene Präsentation von der Re:Publica 2012.
Hier werden Einstiegsmöglichkeiten aufgezeigt. Die Präsentation enthält Links zu hilfreichen Tools.
(Hochgeladen mit Genehmigung der Autorin).
From Attention to Trust: Perspektiven durch Datenjournalismus
Note: This is in German, despite the title.
Auf der Re:Publica 2012 gehaltene Präsentation zum Thema Datenjournalismus. Ziel war es, eine mögliche Perspektive zur Weiterentwicklung des Journalismus vorzustellen. Betonung auf "Möglichkeit".
Can data journalism save your newsroom?
My (short) presentation at the International Journalism Festival in Perugia, 2012. Great event, was fun to be on multiple panels with Aron Pilhofer, Simon Rogers, Dan Nguyen. This was part of the "School of Data Journalism" programme, organized by the European Journalism Centre (EJC).
Daten-Journalismus: Lohnt der Aufwand?
Was ist Datenjournalismus? Diese Präsentation nutzt Argumente aus älteren Vorträgen zum Thema, ist dafür aber mal in deutscher Sprache.
Gehalten auf dem Scoopcamp 2011.
Info: Diese Version wurde durch Links und Erklärungen erweitert, um die Verständlichkeit zu erhöhen.
From Attention to Trust:
Data-driven journalism and the urban future
Presentation from Picnic 2011. At the festival the main topic was urban live. This presentation aims to show that there new needs. The key idea is to transform data into meaningful information, helping each one of us to cope with the factors influencing our lives. One way do that is to use data more and better. Journalists could take a role in this. This is what data-driven journalism is about.
Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin)
Data-driven journalism: Data in the newsroom
These are the slides from my talk at OK Con 2011. It provides a brief overview, then discussess barriers and challenges for data-journalism.
NOTE: This version is slightly edited, I primarily cleaned up missing image credits, etc. The message is the same.
CC-BY 3.0
Data-driven journalism (GIJC, Geneva April 2010) #ddj
Can the analysis of data help investigative journalism? Could new workflows working with data create more substantial reporting and thus finance costly investigations? This talk tried to provide food for thought for these questions, not the final answers. Work ahead on this...
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Crossmedia: Nicht auf die Tools, auf die Story kommt es an
Crossmedia: Nicht auf die Tools, auf die Story kommt es an
Focus on story, don't be seduced by sexy tools: How journalists can create gr...
Focus on story, don't be seduced by sexy tools: How journalists can create gr...
Why What WHEN - Demonstrator/prototype from Media Hack Day Berlin (October 2013)
Why What WHEN - Demonstrator/prototype from Media Hack Day Berlin (October 2013)
Hack the newsroom: Deutsche Welle Project at #GEN13 Global Editors Network Ne...
Hack the newsroom: Deutsche Welle Project at #GEN13 Global Editors Network Ne...
I pay this, you pay that. Crowdsourcing local costs of living (Prototype) #ddj
I pay this, you pay that. Crowdsourcing local costs of living (Prototype) #ddj
What is data-driven journalism? (Slides from naprej:forward 2012)
What is data-driven journalism? (Slides from naprej:forward 2012)
Data-driven journalism: What is there to learn? (Documentation from Amsterdam...
Data-driven journalism: What is there to learn? (Documentation from Amsterdam...
From Attention to Trust: Perspektiven durch Datenjournalismus
From Attention to Trust: Perspektiven durch Datenjournalismus
Vortrag netzwerk recherche: Training für Datenjournalismus
Vortrag netzwerk recherche: Training für Datenjournalismus
From Attention to Trust:
Data-driven journalism and the urban future
From Attention to Trust:
Data-driven journalism and the urban future
Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin)
Open Data in the Newsroom: What's the story? (Talk from OK Con 2011 in Berlin)
Data-driven journalism (GIJC, Geneva April 2010) #ddj
Data-driven journalism (GIJC, Geneva April 2010) #ddj
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The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
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Power Grid Model
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Data and journalism: A pot of gold at the end of the rainbow?
- 1. A P O T O F G O L D AT T H E E N D O F T H E R A I N B O W ? S C H O O L O F D A TA 2 0 1 5 • I N T E R N A T I O N A L J O U R N A L I S M F E S T I VA L • P E R U G I A C A N D ATA M A K E M O N E Y F O R N E W S R O O M S ?
- 3. Disclaimer: Putting a price tag on every act of journalism would quickly kill everything that makes journalism important.
- 5. 1 . I N V E S T M E N T S : T H I N K L I K E A S TA RT- U P
- 7. "deliver world-class journalism from a position of financial strength“ - Andrew Miller, Guardian Media Group CEO
- 8. 2 . G E N E R AT E D I G I TA L R E V E N U E B Y U N D E R S TA N D I N G U S A G E D ATA
- 10. One of the biggest lessons apropos of the Tribune is the coming of a data- driven or data-informed culture.
- 11. 3 . E D I T O R I A L : W H AT D O R E A D E R S / U S E R S R E A L LY WA N T ?
- 12. For people who quickly want to know what to get.
- 15. Q U E L L E : V I S U A L LY - H T T P S : / / W W W. Y O U T U B E . C O M / WAT C H ? V = A I V K F N E R B P Q
- 16. Q U E L L E : V I S U A L LY - H T T P S : / / W W W. Y O U T U B E . C O M / WAT C H ? V = A I V K F N E R B P Q
- 19. The greater efficiency of big online players has led to their total domination of the online ad marketplace. The five largest Web firms earn 64 percent of all online ad spending. The top 50 get 90 percent.
- 20. The ability to take data, make sense of it - that’s going to be a hugely valuable skill - Hal Varian
- 21. F I N A L LY… • Companies calculate, people guess • Who is fiercely on the side of the user? • From attention to trust