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Evolution of Journalism & Rich Media
ONA 2015
2 Proprietary & Confidential | © 2015 – Graphiq
People are getting the news online
3 Proprietary & Confidential | © 2015 – Graphiq
Online and mobile channels necessitate new user experiences; not
everyone evolving
4 Proprietary & Confidential | © 2015 – Graphiq
Some players are getting ahead with rich media and fluffier content
5 Proprietary & Confidential | © 2015 – Graphiq
Readers are looking at text less, new formats more
6 Proprietary & Confidential | © 2015 – Graphiq
And demanding more rich media
7 Proprietary & Confidential | © 2015 – Graphiq
Especially younger readers
8 Proprietary & Confidential | © 2015 – Graphiq
Data visualizations provide richness too
http://www.nytimes.com/interactive/2015/09/15/world/europe/migrant-borders-europe.html?smid=tw-nytimes&smtyp=cur&_r=0
9 Proprietary & Confidential | © 2015 – Graphiq
We’re starting to see a shift
10 Proprietary & Confidential | © 2015 – Graphiq
Visualizations dramatically impact user engagement
Notes: n=935, 328-word article
Source: Graphiq Study
No Media Stock Image Interactive Visualization
+10%
mean time
on site
+36%
mean time
on site
11 Proprietary & Confidential | © 2015 – Graphiq
Visualizations transform fly by users into highly engaged users
Notes: n=935, 328-word article
Source: Graphiq Study
12 Proprietary & Confidential | © 2015 – Graphiq
But creating graphics takes time
Is Santa Monica Wealthy?
13 Proprietary & Confidential | © 2015 – Graphiq
Which Santa Monica?
Census defined
geographic
hierarchy
Where are the cities?
14 Proprietary & Confidential | © 2015 – Graphiq
What do you mean, wealthy?
Demography
Thousands of files with shifting
schemas over time
Population, migration, ethnicity & language,
transportation, energy
Santa Monica
Education
“Public” data sourced from
FOIAs and local sources
Business Profile
Derived from public and
licensed sources
Real Estate
Aggregated from billions of
licensed data points
Government
Public + think tank sources
15 Proprietary & Confidential | © 2015 – Graphiq
Ok – acquire, extract, and transform the data
Acquisition Extraction Transformation
KeyActivities
• Research data supply chain, identify
sources for each attribute
• Download thousands of files from
dozens of sources
• Dozens of annual FOIA requests
• Audit data quality, negotiate licensing
partnerships
ExampleWeeks
• Education quality: national scores from
NCES, AP, SAT, ACT; state specific scores
from 50 state reporting agencies; and FOIA
requests for 30 states
62 weeks
12 (public) + 50 (licensing)
• Research file structure, taxonomy, field
definitions, geography types
• Select target attributes, manually map
fields (taxonomy changes each year)
• Reverse geocode entities into correct geo
• Integrate data from multiple sources and
load data into single master table
• Income distribution: selected 20+ fields
from 13,700 attributes across 12,000
summary American Community Survey files
(ACS), manually mapped across historical
file versions (field names change over time)
40 weeks
24 (public) + 16 (licensing)
• Group fields into new, user-friendly values
(“% College Educated”)
• Statistical analysis, heuristic-development to
tag geos with user-friendly terms (“Wealthy”)
• Develop scoring algorithms based on
multiple variables (“Good schools”)
• Automate extraction and transformation
• Business profile: conducted geospatial
analysis on 32M companies spanning 19K
industries to develop heuristics that tagged
geographies with over-indexation of key
industries relative to other geographies
(“Lots of Religious Institutions”)
36 weeks
16 Proprietary & Confidential | © 2015 – Graphiq
Now open up your chart editor
17 Proprietary & Confidential | © 2015 – Graphiq
Or forward to your graphics team
18 Proprietary & Confidential | © 2015 – Graphiq
Because your graphics team has more than enough time
19 Proprietary & Confidential | © 2015 – Graphiq
It’s not just challenging for journalists
20 Proprietary & Confidential | © 2015 – Graphiq
Knowledge is Power
21 Proprietary & Confidential | © 2015 – Graphiq
Everything starts with the universe’s deepest knowledge graph
22 Proprietary & Confidential | © 2015 – Graphiq
Knowledge is Power
23 Proprietary & Confidential | © 2015 – Graphiq
Knowledge is Power – Graphiq Search
24 Proprietary & Confidential | © 2015 – Graphiq
Knowledge is Power – Graphiq Feed
25 Proprietary & Confidential | © 2015 – Graphiq
Knowledge is Power – Graphiq Feed
26 Proprietary & Confidential | © 2015 – Graphiq
Big Partners Are Taking Notice
27 Proprietary & Confidential | © 2015 – Graphiq

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Evolution of Journalism & Rich Media

  • 1. Evolution of Journalism & Rich Media ONA 2015
  • 2. 2 Proprietary & Confidential | © 2015 – Graphiq People are getting the news online
  • 3. 3 Proprietary & Confidential | © 2015 – Graphiq Online and mobile channels necessitate new user experiences; not everyone evolving
  • 4. 4 Proprietary & Confidential | © 2015 – Graphiq Some players are getting ahead with rich media and fluffier content
  • 5. 5 Proprietary & Confidential | © 2015 – Graphiq Readers are looking at text less, new formats more
  • 6. 6 Proprietary & Confidential | © 2015 – Graphiq And demanding more rich media
  • 7. 7 Proprietary & Confidential | © 2015 – Graphiq Especially younger readers
  • 8. 8 Proprietary & Confidential | © 2015 – Graphiq Data visualizations provide richness too http://www.nytimes.com/interactive/2015/09/15/world/europe/migrant-borders-europe.html?smid=tw-nytimes&smtyp=cur&_r=0
  • 9. 9 Proprietary & Confidential | © 2015 – Graphiq We’re starting to see a shift
  • 10. 10 Proprietary & Confidential | © 2015 – Graphiq Visualizations dramatically impact user engagement Notes: n=935, 328-word article Source: Graphiq Study No Media Stock Image Interactive Visualization +10% mean time on site +36% mean time on site
  • 11. 11 Proprietary & Confidential | © 2015 – Graphiq Visualizations transform fly by users into highly engaged users Notes: n=935, 328-word article Source: Graphiq Study
  • 12. 12 Proprietary & Confidential | © 2015 – Graphiq But creating graphics takes time Is Santa Monica Wealthy?
  • 13. 13 Proprietary & Confidential | © 2015 – Graphiq Which Santa Monica? Census defined geographic hierarchy Where are the cities?
  • 14. 14 Proprietary & Confidential | © 2015 – Graphiq What do you mean, wealthy? Demography Thousands of files with shifting schemas over time Population, migration, ethnicity & language, transportation, energy Santa Monica Education “Public” data sourced from FOIAs and local sources Business Profile Derived from public and licensed sources Real Estate Aggregated from billions of licensed data points Government Public + think tank sources
  • 15. 15 Proprietary & Confidential | © 2015 – Graphiq Ok – acquire, extract, and transform the data Acquisition Extraction Transformation KeyActivities • Research data supply chain, identify sources for each attribute • Download thousands of files from dozens of sources • Dozens of annual FOIA requests • Audit data quality, negotiate licensing partnerships ExampleWeeks • Education quality: national scores from NCES, AP, SAT, ACT; state specific scores from 50 state reporting agencies; and FOIA requests for 30 states 62 weeks 12 (public) + 50 (licensing) • Research file structure, taxonomy, field definitions, geography types • Select target attributes, manually map fields (taxonomy changes each year) • Reverse geocode entities into correct geo • Integrate data from multiple sources and load data into single master table • Income distribution: selected 20+ fields from 13,700 attributes across 12,000 summary American Community Survey files (ACS), manually mapped across historical file versions (field names change over time) 40 weeks 24 (public) + 16 (licensing) • Group fields into new, user-friendly values (“% College Educated”) • Statistical analysis, heuristic-development to tag geos with user-friendly terms (“Wealthy”) • Develop scoring algorithms based on multiple variables (“Good schools”) • Automate extraction and transformation • Business profile: conducted geospatial analysis on 32M companies spanning 19K industries to develop heuristics that tagged geographies with over-indexation of key industries relative to other geographies (“Lots of Religious Institutions”) 36 weeks
  • 16. 16 Proprietary & Confidential | © 2015 – Graphiq Now open up your chart editor
  • 17. 17 Proprietary & Confidential | © 2015 – Graphiq Or forward to your graphics team
  • 18. 18 Proprietary & Confidential | © 2015 – Graphiq Because your graphics team has more than enough time
  • 19. 19 Proprietary & Confidential | © 2015 – Graphiq It’s not just challenging for journalists
  • 20. 20 Proprietary & Confidential | © 2015 – Graphiq Knowledge is Power
  • 21. 21 Proprietary & Confidential | © 2015 – Graphiq Everything starts with the universe’s deepest knowledge graph
  • 22. 22 Proprietary & Confidential | © 2015 – Graphiq Knowledge is Power
  • 23. 23 Proprietary & Confidential | © 2015 – Graphiq Knowledge is Power – Graphiq Search
  • 24. 24 Proprietary & Confidential | © 2015 – Graphiq Knowledge is Power – Graphiq Feed
  • 25. 25 Proprietary & Confidential | © 2015 – Graphiq Knowledge is Power – Graphiq Feed
  • 26. 26 Proprietary & Confidential | © 2015 – Graphiq Big Partners Are Taking Notice
  • 27. 27 Proprietary & Confidential | © 2015 – Graphiq

Notes de l'éditeur

  1. The internet changed everything. Publishers who had been around for hundreds of years and mastered their craft had to move to the digital space with the internet. Some transitioned well, while others still struggle with the move to digital.
  2. The internet changed everything. Publishers who had been around for hundreds of years and mastered their craft had to move to the digital space with the internet. Some transitioned well, while others still struggle with the move to digital.
  3. The problem w/ these new rich media types is that they aren’t particularly serious. They lend themselves to fluffy content – the 20 cutest dogs, and 26 reasons the world is ending. You can’t imagine the New York Times doing an in-depth story through GIFs. The people who have taken advantage of the new medium are those who have content and stories that fit the rich media trend — BuzzFeed has nailed using GIFs. Short videos, slideshows, GIFs that pair well with stories about dogs, celebrities, hot culture topics. But, people are still reading hard news and consuming long form features. There’s an opportunity for a rich media type that lends itself to hard-hitting news and long form features.
  4. One of those media types that has so far been underinvested and out of reach for most is visualization. Certain pubs that have huge staffs are able to produce them and make articles more engaging – think about what the New York Times is doing with The Upshot.
  5. Tableau is trying to solve this by making it’s business intelligence tools available to journalists.
  6. We all want readers to have a better experience and these media types allow us to tell a fuller, richer story. Turns out that all of the same analogies for adding photos, etc. happens when you add visualizations. Visualizations take fly by users and make them highly engaged. Even takes super users and keeps them longer.
  7. We all want readers to have a better experience and these media types allow us to tell a fuller, richer story. Turns out that all of the same analogies for adding photos, etc. happens when you add visualizations. Visualizations take fly by users and make them highly engaged. Even takes super users and keeps them longer.
  8. Making visualizations is hard. It’s technical, time consuming, requires collecting the data, etc. Journalists already had to master the art of reporting, and now you’re being expected to learn entirely new skills. Suddenly journalists should learn how to code and know where all of the data analysis needs to be done. They need to learn SQL and Tableau.  Creating custom data visulaization pieces take time, staff & money. Using tools like Tableau still require you find the data, clean the data, interpret the data and find the best way to visualize it. Data visualizations aren’t yet readily available to journalists as compared to a photo.
  9. Making visualizations is hard. It’s technical, time consuming, requires collecting the data, etc. Journalists already had to master the art of reporting, and now you’re being expected to learn entirely new skills. Suddenly journalists should learn how to code and know where all of the data analysis needs to be done. They need to learn SQL and Tableau.  Creating custom data visulaization pieces take time, staff & money. Using tools like Tableau still require you find the data, clean the data, interpret the data and find the best way to visualize it. Data visualizations aren’t yet readily available to journalists as compared to a photo.
  10. But, it turns out that going and collecting the data is hard. It’s time consuming, it’s expensive. It’s not just hard for journalists, it’s hard for search engines. Look at all of the gaps and holes in Yahoo & Google’s knowledge graph. Go search Santa Barbara on Yahoo — nothing.
  11. At Graphiq, we think knowledge and visualizations are necessary to performing their work. As a company, we’ve invested 80 people, 6 years, $X million, to create the world’s deepest knowledge graph. We’ve taken the time to do that data collection and we’ve built 10B visualizations on top of that. Over the last 6 months we’ve been looking at journalism. How can we help journalists? How can we make data visualizations as available to journalists as a photo? 
  12. We want a journalist to be able to go and search a term and be served ready to use data visualizations as they would a picture.
  13. We want to send data visualizations to journalists the second there’s breaking news or updated data. Data visualizations shouldn’t be an out of reach commodity. It’s 2015. Visualizations should be readily available to everyone. Your readers want them.
  14. We want to send data visualizations to journalists the second there’s breaking news or updated data. Data visualizations shouldn’t be an out of reach commodity. It’s 2015. Visualizations should be readily available to everyone. Your readers want them.