Data speaking thruth to power. Keynote at Highway Africa Conference 2013

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  • Data speaking thruth to power. Keynote at Highway Africa Conference 2013

    1. 1. DATA SPEAKING TRUTH TO POWER Peter Verweij AMI and D3-Media
    2. 2. What I will be talking about! - 1 ● Let’ s start with a small story…… ● ssssssssssssssssssssssssssssssssssssssssssssssssssst ● Data are not speaking; but journalists are gathering data turn them in to stories. ● Journalism is producing truth seeking stories in the public interest based on data.
    3. 3. What I will be talking about! - 2 • The digitalization causes an enormous increase of all sorts of data stored by all kind of organization from governments to NGO's and companies. ● Data are very fashionable ● Journalist should check policies based on data and dig in data to find news
    4. 4. What I will be talking about! - 3 ● How strong is journalism against the powers? ● Journalism can feed the public debate to help control and check the use of power. ● But: Journalism is in crisis; subscription are dropping, lot of journalism jobs are lost. ● Data journalism is quality reporting and one of directions to re invent journalism. ● Here is some data about journalism:
    5. 5. Where are we going? •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.com/node/18904136
    6. 6. 4 Year Category Trend by Quarter: Daily Newspapers Comment: Circulation has declined annually by 5.75 % since 2008, equivalent to 461,000 copies.
    7. 7. Observations: •Times remain tough for all in the print industry. •Current GDP projections indicate that we will achieve a 2.5% GDP growth albeit that our CPI inflation is just over 6%. •The Daily Newspaper category continues to decline with several sharp drops in total circulation. That said, vernacular circulation growth continues •Weeklies have posted solid growth. •The Weekend English and Afrikaans categories continues to slide while vernacular growth continues. •Local Newspapers are down overall. However, several titles reflect strong growth including Tembisan. •Free Newspapers are stable overall, but it would be remiss not to mention again the startling growth of the Zululand Eyethu, up 303%. •SOURCE: GORDON PATTERSON
    8. 8. What is data journalism ? • It looks like data journalism is young, but it already started in 1968 with Philip Meyer reporting about the Detroit’s riots using an IBM mainframe • Is it poverty or relative deprivation? • Other names: • Precision journalism; analytical journalism; CARR and now data journalism • But all agree: Journalism can be improved by using tools from science
    9. 9. The Guardian over Riots and Poverty
    10. 10. Traffic Accidents From Database: 2000 accidents Top ten Dangerous junctions Map is the story
    11. 11. Hurricane Andrew and construction fraud in Miami Classic Hurricane Andrew
    12. 12. How does data journalism work? Journalism •Story idea •Finding data sources •Collecting data: importing scraping •Analyzing data •Produce the story: visualize Science •Hypothesis •Building a measurement tool •Fieldwork and experiment •Analyzing data •Test the hypothesis •Publish in a journal
    13. 13. Finding Data: story idea Turn the web in a database WHERE: National Bureau for statistics NGO's Web: find excel Web: tables HOW: Download Copy-paste Scraping: Outwit Hub
    14. 14. Mother of all Data Journalism Analyzing data Spreadsheets MS Office: excel Open Office R project or PSPP Cleaning data: Refine Ordering data: top10 Simple calculations for key figures Graphs: bar, pie, scatter diagrams
    15. 15. Visualize! Fusion Tables Tableau Qgis Cape Town councilors and property value
    16. 16. Data Journalism: team work and important IMPORTANT More data More use of data for policies Check Find hidden trends TEAM WORK Writer Researcher Hacker Designer Involvement of the editor
    17. 17. Convergence • Cooperation between hardcopy and online • Online interactive data • Hardcopy static picture • Complementing approaches
    18. 18. Are African data speaking…..Take a datashower
    19. 19. Example from City Press Visualize Story Sept 16 Council bigwigs get fat cheques http://www.citypress.co.za/Politics/News/Council-bigwigs-get-fat- cheques-20120915
    20. 20. Data “Boot Camp” Helps Kenyan Reporter Expose School Sanitation Woes Link
    21. 21. Khayelitsha •Simple and good by a junior reporter of the Cape Times •Here is the link to the story • And here is spreadsheet
    22. 22. So you can start simple but….. •Sometimes the data are not there, although they should •For example members of SA parliament •I wanted to run a copy of a Dutch story about representation of the parliament. Here is copy
    23. 23. NRC-H over leden van de Tweede Kamer
    24. 24. Advanced stories are possible too •Social network analysis of Twitter contacts between 500 SA journalists •Story •Zoom
    25. 25. To conclude • There is light at the end of the tunnel….. • But it could mean that an other train is approaching fast • For example: sovereign debt ratings by Moody’s • The press release of the Treasury was saying Rating is Baa1 • But did not pay much attention to the negative outlook! • That is a nice way to get “good news” • Battle on!
    26. 26. THANK YOU VERY MUCH •E-mail: peter@d3-media.nl •Twitter: peter_verweij •Blog: http://d3-media.blogspot.nl/

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