FinaVistory: Using Narrative Visualization to explain social and Economic relationships in financial news

Yeuk Yin Chan; Huamin Qu

doi:10.1109/BIGCOMP.2016.7425798

FinaVistory: Using Narrative Visualization to explain social and Economic relationships in financial news

Yeuk Yin Chan, Huamin Qu

Academy of Interdisciplinary Studies

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

7 Citations (Scopus)

Abstract

When reading financial news, although there are critics explaining the fluctuation of Economic indexes in articles everyday, the news often assert bias on authors' favorite opinions. On the other hand, the amount of financial news published these days is staggering with diversified opinions on the same issues. Unless with acumen for the whole environment, audience will find hard to stay objective and identify useful information from the mass media. If computer is granted ability to analyze all news and generate a narrative that addresses all concerns related to the news, all kinds of readers can obtain a more compelling story. Nowadays, Narrative Visualization is a popular technique for news media to deliver reader driven stories, and a potential field for application side. In this paper, we first identify financial news with two features: polarity associated with each news and, factors impacting the indexes or being impacted by the indexes. Then we apply these features to explain the price fluctuation and explain the Socio-economic relationships between price and different topics. Finally, two case studies are conducted to demonstrate the effectiveness and usefulness of FinaVistory in helping users with different purposes to understand the stories behind Europe unemployment after 2008 financial crisis and oil price in 2014.

Original language	English
Title of host publication	2016 International Conference on Big Data and Smart Computing, BigComp 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	32-39
Number of pages	8
ISBN (Electronic)	9781467387965
DOIs	https://doi.org/10.1109/BIGCOMP.2016.7425798
Publication status	Published - 7 Mar 2016
Event	International Conference on Big Data and Smart Computing, BigComp 2016 - Hong Kong, China Duration: 18 Jan 2016 → 20 Jan 2016

Publication series

Name	2016 International Conference on Big Data and Smart Computing, BigComp 2016

Conference

Conference	International Conference on Big Data and Smart Computing, BigComp 2016
Country/Territory	China
City	Hong Kong
Period	18/01/16 → 20/01/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

FinaVistory
Narrative Visualization
Social and Economic Effects
Text Mining

UN SDGs

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

Access to Document

10.1109/BIGCOMP.2016.7425798

Cite this

Chan, Y. Y., & Qu, H. (2016). FinaVistory: Using Narrative Visualization to explain social and Economic relationships in financial news. In 2016 International Conference on Big Data and Smart Computing, BigComp 2016 (pp. 32-39). Article 7425798 (2016 International Conference on Big Data and Smart Computing, BigComp 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIGCOMP.2016.7425798

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title = "FinaVistory: Using Narrative Visualization to explain social and Economic relationships in financial news",

abstract = "When reading financial news, although there are critics explaining the fluctuation of Economic indexes in articles everyday, the news often assert bias on authors' favorite opinions. On the other hand, the amount of financial news published these days is staggering with diversified opinions on the same issues. Unless with acumen for the whole environment, audience will find hard to stay objective and identify useful information from the mass media. If computer is granted ability to analyze all news and generate a narrative that addresses all concerns related to the news, all kinds of readers can obtain a more compelling story. Nowadays, Narrative Visualization is a popular technique for news media to deliver reader driven stories, and a potential field for application side. In this paper, we first identify financial news with two features: polarity associated with each news and, factors impacting the indexes or being impacted by the indexes. Then we apply these features to explain the price fluctuation and explain the Socio-economic relationships between price and different topics. Finally, two case studies are conducted to demonstrate the effectiveness and usefulness of FinaVistory in helping users with different purposes to understand the stories behind Europe unemployment after 2008 financial crisis and oil price in 2014.",

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author = "Chan, \{Yeuk Yin\} and Huamin Qu",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; International Conference on Big Data and Smart Computing, BigComp 2016 ; Conference date: 18-01-2016 Through 20-01-2016",

year = "2016",

month = mar,

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doi = "10.1109/BIGCOMP.2016.7425798",

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Chan, YY & Qu, H 2016, FinaVistory: Using Narrative Visualization to explain social and Economic relationships in financial news. in 2016 International Conference on Big Data and Smart Computing, BigComp 2016., 7425798, 2016 International Conference on Big Data and Smart Computing, BigComp 2016, Institute of Electrical and Electronics Engineers Inc., pp. 32-39, International Conference on Big Data and Smart Computing, BigComp 2016, Hong Kong, China, 18/01/16. https://doi.org/10.1109/BIGCOMP.2016.7425798

FinaVistory: Using Narrative Visualization to explain social and Economic relationships in financial news. / Chan, Yeuk Yin; Qu, Huamin.
2016 International Conference on Big Data and Smart Computing, BigComp 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 32-39 7425798 (2016 International Conference on Big Data and Smart Computing, BigComp 2016).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

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N2 - When reading financial news, although there are critics explaining the fluctuation of Economic indexes in articles everyday, the news often assert bias on authors' favorite opinions. On the other hand, the amount of financial news published these days is staggering with diversified opinions on the same issues. Unless with acumen for the whole environment, audience will find hard to stay objective and identify useful information from the mass media. If computer is granted ability to analyze all news and generate a narrative that addresses all concerns related to the news, all kinds of readers can obtain a more compelling story. Nowadays, Narrative Visualization is a popular technique for news media to deliver reader driven stories, and a potential field for application side. In this paper, we first identify financial news with two features: polarity associated with each news and, factors impacting the indexes or being impacted by the indexes. Then we apply these features to explain the price fluctuation and explain the Socio-economic relationships between price and different topics. Finally, two case studies are conducted to demonstrate the effectiveness and usefulness of FinaVistory in helping users with different purposes to understand the stories behind Europe unemployment after 2008 financial crisis and oil price in 2014.

AB - When reading financial news, although there are critics explaining the fluctuation of Economic indexes in articles everyday, the news often assert bias on authors' favorite opinions. On the other hand, the amount of financial news published these days is staggering with diversified opinions on the same issues. Unless with acumen for the whole environment, audience will find hard to stay objective and identify useful information from the mass media. If computer is granted ability to analyze all news and generate a narrative that addresses all concerns related to the news, all kinds of readers can obtain a more compelling story. Nowadays, Narrative Visualization is a popular technique for news media to deliver reader driven stories, and a potential field for application side. In this paper, we first identify financial news with two features: polarity associated with each news and, factors impacting the indexes or being impacted by the indexes. Then we apply these features to explain the price fluctuation and explain the Socio-economic relationships between price and different topics. Finally, two case studies are conducted to demonstrate the effectiveness and usefulness of FinaVistory in helping users with different purposes to understand the stories behind Europe unemployment after 2008 financial crisis and oil price in 2014.

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ER -

Chan YY, Qu H. FinaVistory: Using Narrative Visualization to explain social and Economic relationships in financial news. In 2016 International Conference on Big Data and Smart Computing, BigComp 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 32-39. 7425798. (2016 International Conference on Big Data and Smart Computing, BigComp 2016). doi: 10.1109/BIGCOMP.2016.7425798

FinaVistory: Using Narrative Visualization to explain social and Economic relationships in financial news

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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