Sensing world heritage

An exploratory study of Twitter as a tool for assessing reputation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Social media services play an important role in today's society and are increasingly used by the scientific community to understand the human landscape, with regard to local sensitivities and the broadcasting of opinion. Collection of social media feeds has become a new data source for understanding and modelling phenomena. This article explores the possibility of understanding the relationship of people with world heritage using the information collected from Twitter. The information collected from late December 2013 to the end of January 2014, submitted to temporal, spatial and text mining analysis, shows that Twitter messages convey important meaning about local and global sensitivities regarding world heritage. Examples include the buzz regarding the possible delisting by the Australian government of the Tasmanian Wilderness World Heritage; the destruction of the heritage in Syria due to armed conflict, and the petition to include the Leuser Ecosystem in the world heritage list. It concludes that using data from social media services, such as Twitter, could improve our understanding of how people relate to world heritage, in a local and global perspective, and be a valuable tool in world heritage studies and management.

Original languageEnglish
Title of host publicationComputational Science and Its Applications, ICCSA 2014 - 14th International Conference, Proceedings
PublisherSpringer-Verlag
Pages404-419
Number of pages16
Volume8580 LNCS
EditionPART 2
ISBN (Print)9783319091280
DOIs
Publication statusPublished - 2014
Event14th International Conference on Computational Science and Its Applications, ICCSA 2014 - Guimaraes, Portugal
Duration: 30 Jun 20143 Jul 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume8580 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference14th International Conference on Computational Science and Its Applications, ICCSA 2014
CountryPortugal
CityGuimaraes
Period30/06/143/07/14

Fingerprint

Social Media
Broadcasting
Ecosystems
Sensing
Text Mining
Ecosystem
Modeling
Reputation

Keywords

  • heritage reputation
  • spatio-temporal analysis
  • text mining
  • Twitter
  • web 2.0
  • world heritage

Cite this

Henriques, R., Painho, M., Vaz, E., & Monteiro, V. (2014). Sensing world heritage: An exploratory study of Twitter as a tool for assessing reputation. In Computational Science and Its Applications, ICCSA 2014 - 14th International Conference, Proceedings (PART 2 ed., Vol. 8580 LNCS, pp. 404-419). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8580 LNCS, No. PART 2). Springer-Verlag. https://doi.org/10.1007/978-3-319-09129-7_31
Henriques, Roberto ; Painho, Marco ; Vaz, Eric ; Monteiro, Vasco. / Sensing world heritage : An exploratory study of Twitter as a tool for assessing reputation. Computational Science and Its Applications, ICCSA 2014 - 14th International Conference, Proceedings. Vol. 8580 LNCS PART 2. ed. Springer-Verlag, 2014. pp. 404-419 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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abstract = "Social media services play an important role in today's society and are increasingly used by the scientific community to understand the human landscape, with regard to local sensitivities and the broadcasting of opinion. Collection of social media feeds has become a new data source for understanding and modelling phenomena. This article explores the possibility of understanding the relationship of people with world heritage using the information collected from Twitter. The information collected from late December 2013 to the end of January 2014, submitted to temporal, spatial and text mining analysis, shows that Twitter messages convey important meaning about local and global sensitivities regarding world heritage. Examples include the buzz regarding the possible delisting by the Australian government of the Tasmanian Wilderness World Heritage; the destruction of the heritage in Syria due to armed conflict, and the petition to include the Leuser Ecosystem in the world heritage list. It concludes that using data from social media services, such as Twitter, could improve our understanding of how people relate to world heritage, in a local and global perspective, and be a valuable tool in world heritage studies and management.",
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Henriques, R, Painho, M, Vaz, E & Monteiro, V 2014, Sensing world heritage: An exploratory study of Twitter as a tool for assessing reputation. in Computational Science and Its Applications, ICCSA 2014 - 14th International Conference, Proceedings. PART 2 edn, vol. 8580 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8580 LNCS, Springer-Verlag, pp. 404-419, 14th International Conference on Computational Science and Its Applications, ICCSA 2014, Guimaraes, Portugal, 30/06/14. https://doi.org/10.1007/978-3-319-09129-7_31

Sensing world heritage : An exploratory study of Twitter as a tool for assessing reputation. / Henriques, Roberto; Painho, Marco; Vaz, Eric; Monteiro, Vasco.

Computational Science and Its Applications, ICCSA 2014 - 14th International Conference, Proceedings. Vol. 8580 LNCS PART 2. ed. Springer-Verlag, 2014. p. 404-419 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8580 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

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AU - Vaz, Eric

AU - Monteiro, Vasco

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AB - Social media services play an important role in today's society and are increasingly used by the scientific community to understand the human landscape, with regard to local sensitivities and the broadcasting of opinion. Collection of social media feeds has become a new data source for understanding and modelling phenomena. This article explores the possibility of understanding the relationship of people with world heritage using the information collected from Twitter. The information collected from late December 2013 to the end of January 2014, submitted to temporal, spatial and text mining analysis, shows that Twitter messages convey important meaning about local and global sensitivities regarding world heritage. Examples include the buzz regarding the possible delisting by the Australian government of the Tasmanian Wilderness World Heritage; the destruction of the heritage in Syria due to armed conflict, and the petition to include the Leuser Ecosystem in the world heritage list. It concludes that using data from social media services, such as Twitter, could improve our understanding of how people relate to world heritage, in a local and global perspective, and be a valuable tool in world heritage studies and management.

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KW - text mining

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KW - web 2.0

KW - world heritage

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U2 - 10.1007/978-3-319-09129-7_31

DO - 10.1007/978-3-319-09129-7_31

M3 - Conference contribution

SN - 9783319091280

VL - 8580 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Henriques R, Painho M, Vaz E, Monteiro V. Sensing world heritage: An exploratory study of Twitter as a tool for assessing reputation. In Computational Science and Its Applications, ICCSA 2014 - 14th International Conference, Proceedings. PART 2 ed. Vol. 8580 LNCS. Springer-Verlag. 2014. p. 404-419. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-319-09129-7_31