tedx - analyzing the digital talk: visual tools for exploring global communication flows

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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 Technologywww.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 SERIESSTRUCTURED

TEXT, IMAGESUNSTRUCTURED

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

SUSTAINABILITYUNEP Live Web Intelligence

POLITICSUS Election 2016 Web Monitor

MARKETINGWYSDOM 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.netDeveloped 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 2016Web 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 MapStory Detection

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

Story DetectionTimeline

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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 Modelwww.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 Modelwww.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 Modelwww.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.netUNEP Live Web Intelligence

POLITICS | us2016.weblyzard.comUS Election 2016 Web Monitor

MARKETING | www.weblyzard.com/wysdomWYSDOM Success Metric

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