TEDx - Analyzing the Digital Talk: Visual Tools for Exploring Global Communication Flows

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This document describes various visual tools developed by MODUL University Vienna's Department of New Media Technology for exploring global communication flows on topics like sustainability, politics, and marketing. It discusses tools like UNEP Live Web Intelligence for monitoring discussions around sustainability, the US Election 2016 Web Monitor for analyzing discussions around the US election, and WYSDOM Success Metric for measuring sentiment trends, desired topics, and website traffic for stakeholders. The tools gather data from real-time content streams, enrich and contextualize it, then visualize patterns and trends through dashboards.

Data & Analytics

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
Analyzing the Digital Talk | Visual Tools for Exploring
Global Communication Flows
Prof. Arno Scharl, Department of New Media Technology
www.modul.ac.at/nmt ∏ www.weblyzard.com
October 2016

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
TIME SERIES
STRUCTURED
TEXT, IMAGES
UNSTRUCTURED
BIG DATA

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
„… has led to wild claims on both sides of the divide.“

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
SUSTAINABILITY
UNEP Live Web Intelligence
POLITICS
US Election 2016 Web Monitor
MARKETING
WYSDOM Success Metric
GLOBAL COMMUNICATION FLOWS

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
UNEP Live Web
Intelligence
unep.ecoresearch.net
Developed by the Department of New Media Technology of
MODUL University Vienna and powered by webLyzard technology
www.weblyzard.com/unep-live ▪ uneplive.unep.org

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
WEB INTELLIGENCE WORKFLOW
1. Gather Real-Time Content Streams
2. Filter Content to Ensure its Relevance
3. Enrich & Contextualize Documents
 Summarize and Assign Keywords
 Determine Positive vs. Negative Sentiment
 Add Location Data – “Geo-Tagging”
 Identify Persons & Organizations – “Named Entities“
 Evaluate the Veracity of User-Generated Content
4. Dashboard to Visualize Patterns & Trends

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
Concordance List - Lexical Context

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
Word Tree - Lexical Context

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
Keyword Graph – Social Perceptions

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
Top Sources – Topic: “Biodiversity”

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
Editorial Stance – Frequency vs. Sentiment

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
Movers & Shakers – Opinion Holders vs. Targets

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
US Election 2016
Web Monitor
us2016.weblyzard.com
Developed at the Department of New Media Technology of
MODUL University Vienna; powered by webLyzard technology
www.weblyzard.com/us-election-2016-web-monitor

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
News Media
30-Day Average

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
Twitter

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
Cluster Map
Story Detection

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
Story Detection
Timeline

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
WYSDOM Success Metric – Sentiment Trends
webLyzard Stakeholder Dialog & Opinion Model
www.weblyzard.com/wysdom

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
WYSDOM Success Metric – Desired & Undesired Topics
webLyzard Stakeholder Dialog & Opinion Model
www.weblyzard.com/wysdom

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
WYSDOM Success Metric – Web Site Visitors
Page Views, Visits (Google Analytics)
webLyzard Stakeholder Dialog & Opinion Model
www.weblyzard.com/wysdom

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
@webLyzard
SUSTAINABILITY | unep.ecoresearch.net
UNEP Live Web Intelligence
POLITICS | us2016.weblyzard.com
US Election 2016 Web Monitor
MARKETING | www.weblyzard.com/wysdom
WYSDOM Success Metric

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TEDx - Analyzing the Digital Talk: Visual Tools for Exploring Global Communication Flows

1. 1 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com 1

2. 2 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com Analyzing the Digital Talk | Visual Tools for Exploring Global Communication Flows Prof. Arno Scharl, Department of New Media Technology www.modul.ac.at/nmt ∏ www.weblyzard.com October 2016

3. 3 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

4. 4 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com TIME SERIES STRUCTURED TEXT, IMAGES UNSTRUCTURED BIG DATA

5. 5 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com „… has led to wild claims on both sides of the divide.“

6. 6 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

7. 7 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

8. 8 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com SUSTAINABILITY UNEP Live Web Intelligence POLITICS US Election 2016 Web Monitor MARKETING WYSDOM Success Metric GLOBAL COMMUNICATION FLOWS

9. 9 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com UNEP Live Web Intelligence unep.ecoresearch.net Developed by the Department of New Media Technology of MODUL University Vienna and powered by webLyzard technology www.weblyzard.com/unep-live ▪ uneplive.unep.org

10. 10 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com WEB INTELLIGENCE WORKFLOW 1. Gather Real-Time Content Streams 2. Filter Content to Ensure its Relevance 3. Enrich & Contextualize Documents  Summarize and Assign Keywords  Determine Positive vs. Negative Sentiment  Add Location Data – “Geo-Tagging”  Identify Persons & Organizations – “Named Entities“  Evaluate the Veracity of User-Generated Content 4. Dashboard to Visualize Patterns & Trends

11. 11 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

12. 12 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com Concordance List - Lexical Context

13. 13 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com Word Tree - Lexical Context

14. 14 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com Keyword Graph – Social Perceptions

15. 15 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com Top Sources – Topic: “Biodiversity”

16. 16 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com Editorial Stance – Frequency vs. Sentiment

17. 17 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com Movers & Shakers – Opinion Holders vs. Targets

18. 18 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

19. 19 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

20. 20 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

21. 21 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

22. 22 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com US Election 2016 Web Monitor us2016.weblyzard.com Developed at the Department of New Media Technology of MODUL University Vienna; powered by webLyzard technology www.weblyzard.com/us-election-2016-web-monitor

23. 23 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

24. 24 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com News Media 30-Day Average

25. 25 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com Twitter

26. 26 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com Cluster Map Story Detection

27. 27 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com Story Detection Timeline

28. 28 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

29. 29 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com WYSDOM Success Metric – Sentiment Trends webLyzard Stakeholder Dialog & Opinion Model www.weblyzard.com/wysdom

30. 30 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com WYSDOM Success Metric – Desired & Undesired Topics webLyzard Stakeholder Dialog & Opinion Model www.weblyzard.com/wysdom

31. 31 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com WYSDOM Success Metric – Web Site Visitors Page Views, Visits (Google Analytics) webLyzard Stakeholder Dialog & Opinion Model www.weblyzard.com/wysdom

32. 32 MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com @webLyzard SUSTAINABILITY | unep.ecoresearch.net UNEP Live Web Intelligence POLITICS | us2016.weblyzard.com US Election 2016 Web Monitor MARKETING | www.weblyzard.com/wysdom WYSDOM Success Metric

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