Data and Journalism
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The world of Journalists is changing. Their business model seems to vanish. That is not really true. Their world is only shifting. This lecture focus on the change brought to Journalists by Big Data. Big Data is "hype-term" but “being data-driven” creates new possibilities for Journalists. The talk goes through the 5 V's of Big Data and why we should focus on small Data. Several use-cases for Journalists are discussed from Influencers over Reach Metrics to Trend Prediction and Content Validation. A few tools supporting the Journalistic work are introduced.
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Data and Journalism
- 2. Lutz Finger Blog : LutzFinger.com linkedin.com/in/lutzfinger www.facebook.com/lutz.finger @LutzFinger
- 3. The philosophy of the day is data-ism. - DAVID BROOKS
- 4. Why this Hype? Google Searches for “big data” 30+ Petabytes of usergenerated Data 4TB = 11 million PDF of images in 24 HOURS 75 Million events Per day 1) MORE Data - “big data” 2) Better Technology Source: WikiBon & Google Trends – Apr. 2013
- 5. Definition – 5 V’s of “big Data” Volume Variety Data at Scale (TB, PB,… ) Data in many Forms (Structured, Unstructured, ..) Velocity Speed (Streaming, Real Time, Near Time, ..) Veracity Uncertainty (imprecise, not always up-to-date ..) Value
- 6. BIG Data is Hype… go to SMALL data
- 7. small as in… Seizing market opportuniPes Holding on to customers CompePng more effecPvely BoosPng financial performance 0% 10% 20% 30% 40% 50% 60% 70% Survey from C-‐Level by The Economist Intelligence Unit -‐ 2013
- 8. Be Aware: Social Media Data vs. Usage
- 9. Predicting Osama Bin Laden’s Location 200 km Source: TwiZer & University of Tennessee
- 10. Find Influencer
- 11. INFLUENCER = EXPERT • Opinion leaders (Katz 1955) • Influentials (Merton 1968) • Law of the Few (Gladwell 2000)
- 12. A few person decide what we do…
- 13. There are no universal influencers. It’s a myth.
- 14. The Reality: Influence is Homophily Influence is often overestimated. • • • • 4 years 1001 Students on Facebook traditional Self-reported Data How did taste Spread Source: Kevin Lewisa, Marco Gonzaleza and Jason Kaufman (2012): PNAS Vol 109, no 1 It needs: • Reach • Readiness • Topic Dependence
- 15. REACH is the KNOWN Game • Aja Dior M.? • AP News? Aja Dior M. omgg, my aunt tiffany who work for whitney houston just found whitney houston dead in the tub. such ashamed & sad :( 45 min
- 16. How to measure Reach?
- 17. How to measure Reach Only Twitter What will that Mean for the rest?
- 18. Engagement as Factor No Name No Name
- 19. Many tools offer Engagement Metrics Taken from Social Bakers
- 20. Predict
- 21. Be there before the story breaks Study by Fisheye AnalyPcs
- 22. Facebook Parties Study by Fisheye AnalyPcs
- 23. Prediction is difficult – especially about the future. Nils Bohr
- 24. Political Prediction Kirsten Long & Rachel Van Dongen, PoliPco, Dec 12 1. Santorum 2. Romney (-8 votes) 3. Paul (-3.000 votes)
- 25. Deep Water Horizon & Social Outreach What is wrong here? Study by Fisheye AnalyPcs
- 27. Many have an interest to reach YOU …
- 29. Bots are easy to create… @you malware.com @you-as-well malware.com D fresh-contact malware.com
- 30. Networks try to act… 2011 20% detection 2012 2013 7% SPAM
- 31. But they are hard to identify Social Friend @JamesMTitus Knowledge Lajello Silent Influencer @Al_AGW
- 32. Example: Online Reviews Arjun Mukherjee et.al.
- 33. Tools
- 34. Timing is Everything Search Frequency Max. every Monday Min. every Saturday “Job” Search Frequency Max. every Saturday Max. every Sunday What are the SEARCH terms? Source: Google Trends
- 35. Mood of the nation Study by Fisheye AnalyPcs
- 36. Tools for Content discovery Source: Tame.it
- 37. News of the World 10th June 2011: 2.6 million readers Ready to Switch? Indicated desire to switch 1% Former NOTW subscribers 4% had to look for a new SUNDAY paper To Which Sunday Paper? Star on Sunday General / Misc 9% 5% Sunday Sport Standard 2% The Observer 2% Daily star on Sunday Star Sunday 2% 15% Sunday Time 7% 95% no info on switching Sunday Herald 2% Daily Mail 22% Sun On Sunday 8% Sunday Mirror 26% Timeframe: Jul 2011 Study by Fisheye AnalyPcs
- 38. Analyze by Audience Source: PeerIndex
- 40. Difficulty of Keyword Setup