Sensing world heritage: An exploratory study of Twitter as a tool for assessing reputation

Vasco Monteiro; Roberto Henriques; Marco Painho; Eric Vaz

doi:10.1007/978-3-319-09129-7_31

Sensing world heritage: An exploratory study of Twitter as a tool for assessing reputation

Vasco Monteiro, Roberto Henriques, Marco Painho, Eric Vaz

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

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 language	English
Title of host publication	Computational Science and Its Applications, ICCSA 2014 - 14th International Conference, Proceedings
Publisher	Springer Verlag
Pages	404-419
Number of pages	16
Volume	8580 LNCS
Edition	PART 2
ISBN (Print)	9783319091280
DOIs	https://doi.org/10.1007/978-3-319-09129-7_31
Publication status	Published - 2014
Event	14th International Conference on Computational Science and Its Applications (ICCSA) - University of Minho, Guimaraes, Portugal Duration: 30 Jun 2014 → 3 Jul 2014 http://2014.iccsa.org/

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	8580 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Conference

Conference	14th International Conference on Computational Science and Its Applications (ICCSA)
Abbreviated title	ICCSA 2014
Country/Territory	Portugal
City	Guimaraes
Period	30/06/14 → 3/07/14
Internet address	http://2014.iccsa.org/

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

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

Cite this

Monteiro, V., Henriques, R., Painho, M., & Vaz, E. (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

Monteiro, Vasco ; Henriques, Roberto ; Painho, Marco et al. / 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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title = "Sensing world heritage: An exploratory study of Twitter as a tool for assessing reputation",

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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Monteiro, V , Henriques, R , Painho, M & Vaz, E 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), 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. / Monteiro, Vasco ; Henriques, Roberto ; Painho, Marco et al.
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 proceeding › Conference contribution › peer-review

TY - GEN

T1 - Sensing world heritage

T2 - 14th International Conference on Computational Science and Its Applications (ICCSA)

AU - Monteiro, Vasco

AU - Henriques, Roberto

AU - Painho, Marco

AU - Vaz, Eric

N1 - 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

PY - 2014

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N2 - 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.

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.

KW - heritage reputation

KW - spatio-temporal analysis

KW - text mining

KW - Twitter

KW - web 2.0

KW - world heritage

UR - http://www.scopus.com/inward/record.url?scp=84904884741&partnerID=8YFLogxK

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

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

M3 - Conference contribution

AN - SCOPUS:84904884741

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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BT - Computational Science and Its Applications, ICCSA 2014 - 14th International Conference, Proceedings

PB - Springer Verlag

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Monteiro V , Henriques R , Painho M, Vaz E. 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). doi: 10.1007/978-3-319-09129-7_31

Sensing world heritage: An exploratory study of Twitter as a tool for assessing reputation

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

ICCSA 2014. Best Papers awards

Cite this

Sensing world heritage: An exploratory study of Twitter as a tool for assessing reputation

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Prizes

ICCSA 2014. Best Papers awards

Cite this