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Geovisualization of News Stories Julie Dillemuth PhD Candidate Geography Dept. UC Santa Barbara February 27, 2007 OSU Geovis Series Collaborator: Alex Villacorta, Statistics and Applied Probability

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Page 1: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

Geovisualization of News Stories

Julie DillemuthPhD CandidateGeography Dept.UC Santa Barbara

February 27, 2007OSU Geovis Series

Collaborator:Alex Villacorta, Statistics and Applied Probability

Page 2: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

http://media.igert.ucsb.edu/

Interactive Digital MultimediaIGERT, UCSB

11 departmentsElec. & Comp. Engineering – Media Arts & Tech. – Geography –Psychology – Music – Statistics – Computer Science –Education – Film Studies – Art Studio – Envi. Science

30 students, 20 faculty

3 collaborative projects

Page 3: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

P r o j e c t sSpheres of Influence IIGeospatial and news data integration & visualization with a camera-tracking interface

MAT, ECE, Geography, Statistics, Psych, CS, Art

Page 4: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

P r o j e c t s - 2

Out of the Ether IIAudio, video, and electric field sensors for cueing control during live musical performance

MAT, ECE, Music

Page 5: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

P r o j e c t s - 3

Minotour: a mobile, spatially aware WikiA PDA-based tour guide that weaves a narrative for a user’s journey based on Wikipedia article snippets

Geography, Psych, Film Studies, CS

Page 6: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

O v e r v i e w

Driving Questions

Big Picture

Our approach: single story case studynational front-page stories

‘Spheres of Influence’ project

Page 7: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

D r i v i n g Q u e s t i o n s

How is news reported around the country; who has access to what news stories and when?

• How can semantic meaning and geography be related through visualization?

• Does news spread like a disease; can it be modeled?

Page 8: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

B i g P i c t u r e

3 ‘spaces’ of news events • geographic• temporal• semantic

Geovisualization for:• data exploration & pattern i.d.• presentation to broader audience

Spatial -- Temporal -- Semanticanalysis of news stories

Page 9: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

Buzztrackerwww.buzztracker.org

Newsmapwww.marumushi.com/apps/newsmap

Spacecastgeog.ucsb.edu/~sara

ThemeRiverwww.pnl.gov/infoviz/technologies.html

Page 10: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

G e o v i z

Graphic display of complex spatial data

AudienceData relationsInteraction

MacEachren, A. M. and Kraak, M.-J. 1997. Exploratory cartographic visualization: Advancing the agenda. Computers & Geosciences 23(4): 335-343

Page 11: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

O u r A p p r o a c h

• case study – single story, compare 2 states

• what can geovisualization do

• feasibility of automation

Page 12: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

T h e S t o r y

Semantic: Terri Schiavo (right-to-die case in FL)Temporal: Feb. 05 - June 05Geographic: reporting in Texas & California

_________________

Data source: America’s Newsbank digital archiveKeyword search

Newspapers: 32 CA papers 13 TX papers

Page 13: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

C o n s t r a i n t s

• newspaper archive incomplete

• archives have inconsistent structure – impedes parsing

• newspaper circulation areas hard to determine

Page 14: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

1) America’s Newsbankkeyword search

1367 articles CA716 articles TX

P r o c e s s

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2) Exported text parsed to excel file

•Paper•City•Date•Headline•Word count

P r o c e s s - 2

Page 16: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

3) Geo-coded papers, mapped in ArcGIS

P r o c e s s - 3

Page 17: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

4) Annotated and animated in Flash

P r o c e s s - 4

Page 18: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

V i s u a l i z a t i o n s

Viz 1: presence of ‘Terri/y Schiavo’ keyword

Viz 2: event-related vs. tangential articles

Page 19: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

V i z 1

Viz 1: presence of ‘Terri/y Schiavo’ keyword

•First analysis: salient events•Big cities first to carry story, smaller ones follow on•Plot of articles-per-day similar to disease pattern•Short attention span, or ‘immunity’ for news story

Page 20: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

V i z 2

Viz 2: event-related vs. tangential articles

• Article classes: events (176 CA, 184 TX) = fact-basedtangential (356 CA, 306 TX) = broader impactunrelated (59 TX, 533 CA) = affected

• differences in two classes of article, 2 states• event-related until Congress & Bush involved (3/21)• western TX picks up story only then• tangential in TX before CA (3/21)• at TS death, more tangential than event

Page 21: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

V i z 2

Evaluative questions, further analysis:

• what does the spatial component provide that graphs don’t?

• how similar are the stories across papers and states?

Page 22: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

L i m i t a t i o n s

• potential for misinterpretation, overinterpretationincomplete paper coveragepublication locations, not readership coveragecontent type of article

• automation challenges: classifying articles

Page 23: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

O b s e r v a t i o n s

•Major cities ‘early adopters’ of story

•Uniformity in reporting only for major or unusual events

•Story growth and decay similar to disease

•Short attention span for story

•Event-related versus tangential stories have different patterns

Page 24: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

• Story: All front page news• Duration: Aug. ’99,’01,’03• Location: Nationwide• Newspapers: 15 papers• Data: America’s Newsbank online database

Filter Criteria• Top 15 most circulated

(excluding multiple cities)• > 3 papers carry story• > 5 publications total

N a t i o n a l L e v e l

Page 25: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

Avg. Circulation Size 2001 & 2003:

1,140,000 – 850,000: NYT, LA Times, Chicago Trib, WA Post770,000 – 500,001: Denver, Detriot, Dallas, Houston, San Fran.500,000 – 370,000: Boston, Atlanta, Ariz., Newark, Minneapolis, Philly

T e m p o r a l

Page 26: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

• 40 national-scale stories, 640 articles

N a t i o n a l N e w s 2 0 0 1

Page 27: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

• 27 national-scale stories, 781 articles

N a t i o n a l N e w s 2 0 0 3

Page 28: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

• On average, domestic stories are carried about the same• International stories are carried more frequently in east papers

S p a t i a l & S e m a n t i c

Page 29: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

I m p l i c a t i o n s

• contributes to understanding of communication channels

• Integrates semantic, spatial and temporal domains of dataset

•Towards an automated, interactive tool to visualize any text-based database query

•Inspired ‘Spheres of Influence’ concept & content

Page 30: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

S O I Spheres of Influence IIGeospatial and news data integration & visualization with a camera-tracking interface

MAT, ECE, Geography, Statistics, Psych, CS, Art

Page 31: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

Spatial,Temporal &SemanticDimensionsofGlobalNewsReporting

Alex VillacortaAnne-Marie Hansen

Emily MoxleyJonathan VenturaJoriz De Guzman

Karl GrossnerMatt Peterson

statisticsartelectrical & computer engineeringcomputer sciencecomputer sciencegeographypsychology

Page 32: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

S O I

Video demo

Page 33: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience
Page 34: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

A c k n o w l e d g e m e n t s

Thanks to:

Keith C. Clarke, AdvisorS. Rao Jammalamadaka, Stats & Applied Prob.Shane Kendrick, CNSI Apprentice Researcher ProgramSara FabrikantUCSB IGERT in Interactive Digital MultimediaNSF Graduate Research FellowshipDr. Dawn WrightOSU Geosciences, Eco-IGERT

Page 35: Geovisualization of News Storiesdusk.geo.orst.edu/Pickup/GeovisOSUFeb07_Dillemuth.pdf · Geovisualization for: • data exploration & pattern i.d. • presentation to broader audience

Questions, comments?