ICCSA 2014 Presentation

Sensing World Heritage An exploratory study of Twitter as a tool for assessing reputation | CTP14 @ ICCSA 2014 June 2014

Vasco Monteiro, Roberto Henriques, Marco Painho Instituto Superior de Estatística e Gestão de Informação Universidade Nova de Lisboa, Portugal

An exploratory study of Twitter as a tool for assessing reputation

Sensing World Heritage

Eric Vaz Geography Department Ryerson University, Canada

CTP 14 @ ICCSA 2014 Cities, Technologies and Planning


You are IMPORTANT! The Citizen Sensing and Wisdom

The Wisdom of Crowds

Sensing World Heritage An exploratory study of Twitter as a tool for assessing reputation | CTP14 @ ICCSA 2014 June 2014 2


World Heritage Sites What I want to understand

1007 world heritage sites from 161 countries 779 cultural 197 natural 31 mixed

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Data as June 2014, map as May 2014


Are World Heritage Sites really Global?

What I want to understand Local vs. global reach

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Characterization

Heritage

What I want to understand Heritage Reputation using Social Media framework

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Space

Time Intangible

Absence

Tangible

Relevance

Characterization


Heritage

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Sensing World Heritage An exploratory study of Twitter as a tool for assessing reputation | CTP14 @ ICCSA 2014 June 2014 7

Values

Characterization

Heritage


Space

Time Intangible

Absence

Tangible

Relevance


Beliefs and Attitudes

Values

Characterization

Heritage

Reputation

Intentions and Behaviors


Space

Time Intangible

Absence

Tangible

Relevance

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Values

Characterization

Reputation


Ci:zen Sensing Web 2.0

Social Media

Change over :me and space

Heritage


Space

Time Intangible

Absence

Tangible

Relevance

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Sensing World Heritage Exploratory Analysis Overview

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What? With? Which? Where? Why?


Sensing World Heritage Heritage Reputation Framework and Exploratory Analysis

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Values

Characterization

Reputation


With?

1007 world heritage sites from 161 countries

779 cultural 197 natural 31 mixed

Which? Where?

Why?

Space

Time

Intangible

Absence

Tangible

Relevance

Heritage Reputation Framework Exploratory Analysis


Sensing World Heritage Exploratory Analysis

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Place Discovery

Text Mining

Harvesting

Social Media Feeds

Spatio-Temporal Analysis

Spatial Analysis Geovisual Analytics

UANTUM GIS

Topics


Sensing World Heritage Dashboard: 20 Dec 2013 to 26 Jan 2014 for “world heritage” and #worldheritage

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Sensing World Heritage Temporal Analysis: 20 Dec 2013 to 26 Jan 2014 for “world heritage” and #worldheritage

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Sensing World Heritage Exploratory Analysis: Content Themes examples – External Links

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Sensing World Heritage Exploratory Analysis: Content Themes examples – Shared Pictures

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Travel and Leisure

Activism

Hoaxes

Sensing World Heritage Exploratory Analysis: Content Themes Categories

Culture and Education

Due to Terrorism Due to Arm Conflicts

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Sensing World Heritage Where and When? Spatial-temporal geovisualization based on tweet coordinates

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20 Dec 2013 to 26 Jan 2014


Sensing World Heritage Where and When? Spatial-temporal geovisualization based on tweet coordinates

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20 Dec 2013 to 26 Jan 2014


Sensing World Heritage Mining the text tweet – Topics Top 25

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Exploratory analysis Top 25 tweets topics A tweet can be allocated to different topics Explicit locations within the topic keywords (ex: topic 1) Two locations in the same topic (ex: topic 20) Association with protection (ex: topics 3 and 7) Association with travel (ex: topics 14 and 18)


Sensing World Heritage Mining the text tweet – Concept Linking

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topic 8: gb, +joke, world heritage de-‐lis:ng, bloody, lnp


Sensing World Heritage Where and When? Temporal Analysis

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Sensing World Heritage Where and When? Spatial-temporal geovisualization based on tweet text

Dec 23-29, 2013 Tasmania and Leuser Ecosystem Protection

Jan 20-26, 2014 Tasmania and Syria Protection and Arm Conflicts

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Different perspective for the heritage studies, to the tourism industry and for those who manage heritage sites, showing the sensitivities and valuing regarding a specific place in a glocal perspective The value of the World Heritage brand and the advantages of been listed Text mining of social media feeds to knowledge discover:

•  To discover places within the tweet text •  Understand the relation between the general public

(citizens) and the world heritage sites

Conclusions

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Further research will be focus on: •  Improvements of the text mining methodology, using open

source software, in order to extract more information (e.g. hashtags, user mentioned) and to improve the tweet place allocation

•  Text mining and sentiment analysis to assess and measure the reputation of a specific heritage

•  Further spatiotemporal analysis, comparing the tweet coordinates with the place mentioned in the text, to understand the world heritage site spatial reputation

Further Research

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Thank you for your attention Questions?

An exploratory study of Twitter as a tool for assessing reputation

Sensing World Heritage

Vasco Monteiro, Roberto Henriques, Marco Painho Instituto Superior de Estatística e Gestão de Informação Universidade Nova de Lisboa, Portugal

Eric Vaz Geography Department Ryerson University, Canada

CTP 14 @ ICCSA 2014 Cities, Technologies and Planning