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.

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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