The shifting discourse of the European Central Bank: Exploring structural space in semantic networks

A. Nerghes, J. Lee, P. Groenewegen, I. Hellsten

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Convenient access to vast and untapped collections of documents generated by organizations is a valuable resource for research. These documents (e.g., Press releases, reports, speech transcriptions, etc.) are a window into organizational strategies, communication patterns, and organizational behavior. However, the analysis of such large document corpora does not come without challenges. Two of these challenges are 1) the need for appropriate automated methods for text mining and analysis and 2) the redundant and predictable nature of the formalized discourse contained in these collections of texts. Our article proposes an approach that performs well in overcoming these particular challenges for the analysis of documents related to the recent financial crisis. Using semantic network analysis and a combination of structural measures, we provide an approach that proves valuable for a more comprehensive analysis of large and complex semantic networks of formal discourse, such as the one of the European Central Bank (ECB). We find that identifying structural roles in the semantic network using centrality measures jointly reveals important discursive shifts in the goals of the ECB which would not be discovered under traditional text analysis approaches.
Original languageEnglish
Title of host publicationProceedings of the Tenth International Conference on Signal Image Technology & Internet Based Systems
EditorsA. Dipanda, K. Yetongnon
Place of PublicationMarrakesh, Morocco
PublisherIEEE Computer Society
Pages447-455
DOIs
Publication statusPublished - 2014
EventInternational Conference on Signal Image Technology & Internet Based Systems - Marrakesh, Morocco
Duration: 1 Jan 20141 Jan 2014

Conference

ConferenceInternational Conference on Signal Image Technology & Internet Based Systems
Period1/01/141/01/14

Fingerprint

European Central Bank
semantics
discourse
communication pattern
text analysis
organizational behavior
network analysis
financial crisis
resources

Cite this

Nerghes, A., Lee, J., Groenewegen, P., & Hellsten, I. (2014). The shifting discourse of the European Central Bank: Exploring structural space in semantic networks. In A. Dipanda, & K. Yetongnon (Eds.), Proceedings of the Tenth International Conference on Signal Image Technology & Internet Based Systems (pp. 447-455). Marrakesh, Morocco: IEEE Computer Society. https://doi.org/10.1109/SITIS.2014.13
Nerghes, A. ; Lee, J. ; Groenewegen, P. ; Hellsten, I. / The shifting discourse of the European Central Bank: Exploring structural space in semantic networks. Proceedings of the Tenth International Conference on Signal Image Technology & Internet Based Systems. editor / A. Dipanda ; K. Yetongnon. Marrakesh, Morocco : IEEE Computer Society, 2014. pp. 447-455
@inproceedings{226097c00f2e48398a06805083c2778b,
title = "The shifting discourse of the European Central Bank: Exploring structural space in semantic networks",
abstract = "Convenient access to vast and untapped collections of documents generated by organizations is a valuable resource for research. These documents (e.g., Press releases, reports, speech transcriptions, etc.) are a window into organizational strategies, communication patterns, and organizational behavior. However, the analysis of such large document corpora does not come without challenges. Two of these challenges are 1) the need for appropriate automated methods for text mining and analysis and 2) the redundant and predictable nature of the formalized discourse contained in these collections of texts. Our article proposes an approach that performs well in overcoming these particular challenges for the analysis of documents related to the recent financial crisis. Using semantic network analysis and a combination of structural measures, we provide an approach that proves valuable for a more comprehensive analysis of large and complex semantic networks of formal discourse, such as the one of the European Central Bank (ECB). We find that identifying structural roles in the semantic network using centrality measures jointly reveals important discursive shifts in the goals of the ECB which would not be discovered under traditional text analysis approaches.",
author = "A. Nerghes and J. Lee and P. Groenewegen and I. Hellsten",
year = "2014",
doi = "10.1109/SITIS.2014.13",
language = "English",
pages = "447--455",
editor = "A. Dipanda and K. Yetongnon",
booktitle = "Proceedings of the Tenth International Conference on Signal Image Technology & Internet Based Systems",
publisher = "IEEE Computer Society",

}

Nerghes, A, Lee, J, Groenewegen, P & Hellsten, I 2014, The shifting discourse of the European Central Bank: Exploring structural space in semantic networks. in A Dipanda & K Yetongnon (eds), Proceedings of the Tenth International Conference on Signal Image Technology & Internet Based Systems. IEEE Computer Society, Marrakesh, Morocco, pp. 447-455, International Conference on Signal Image Technology & Internet Based Systems, 1/01/14. https://doi.org/10.1109/SITIS.2014.13

The shifting discourse of the European Central Bank: Exploring structural space in semantic networks. / Nerghes, A.; Lee, J.; Groenewegen, P.; Hellsten, I.

Proceedings of the Tenth International Conference on Signal Image Technology & Internet Based Systems. ed. / A. Dipanda; K. Yetongnon. Marrakesh, Morocco : IEEE Computer Society, 2014. p. 447-455.

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - The shifting discourse of the European Central Bank: Exploring structural space in semantic networks

AU - Nerghes, A.

AU - Lee, J.

AU - Groenewegen, P.

AU - Hellsten, I.

PY - 2014

Y1 - 2014

N2 - Convenient access to vast and untapped collections of documents generated by organizations is a valuable resource for research. These documents (e.g., Press releases, reports, speech transcriptions, etc.) are a window into organizational strategies, communication patterns, and organizational behavior. However, the analysis of such large document corpora does not come without challenges. Two of these challenges are 1) the need for appropriate automated methods for text mining and analysis and 2) the redundant and predictable nature of the formalized discourse contained in these collections of texts. Our article proposes an approach that performs well in overcoming these particular challenges for the analysis of documents related to the recent financial crisis. Using semantic network analysis and a combination of structural measures, we provide an approach that proves valuable for a more comprehensive analysis of large and complex semantic networks of formal discourse, such as the one of the European Central Bank (ECB). We find that identifying structural roles in the semantic network using centrality measures jointly reveals important discursive shifts in the goals of the ECB which would not be discovered under traditional text analysis approaches.

AB - Convenient access to vast and untapped collections of documents generated by organizations is a valuable resource for research. These documents (e.g., Press releases, reports, speech transcriptions, etc.) are a window into organizational strategies, communication patterns, and organizational behavior. However, the analysis of such large document corpora does not come without challenges. Two of these challenges are 1) the need for appropriate automated methods for text mining and analysis and 2) the redundant and predictable nature of the formalized discourse contained in these collections of texts. Our article proposes an approach that performs well in overcoming these particular challenges for the analysis of documents related to the recent financial crisis. Using semantic network analysis and a combination of structural measures, we provide an approach that proves valuable for a more comprehensive analysis of large and complex semantic networks of formal discourse, such as the one of the European Central Bank (ECB). We find that identifying structural roles in the semantic network using centrality measures jointly reveals important discursive shifts in the goals of the ECB which would not be discovered under traditional text analysis approaches.

U2 - 10.1109/SITIS.2014.13

DO - 10.1109/SITIS.2014.13

M3 - Conference contribution

SP - 447

EP - 455

BT - Proceedings of the Tenth International Conference on Signal Image Technology & Internet Based Systems

A2 - Dipanda, A.

A2 - Yetongnon, K.

PB - IEEE Computer Society

CY - Marrakesh, Morocco

ER -

Nerghes A, Lee J, Groenewegen P, Hellsten I. The shifting discourse of the European Central Bank: Exploring structural space in semantic networks. In Dipanda A, Yetongnon K, editors, Proceedings of the Tenth International Conference on Signal Image Technology & Internet Based Systems. Marrakesh, Morocco: IEEE Computer Society. 2014. p. 447-455 https://doi.org/10.1109/SITIS.2014.13