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Adaptive Visualization of Social Media Data for Policy Modeling

Nazemi, Kawa and Burkhardt, Dirk and Retz, Wilhelm and Kohlhammer, Jörn (2014):
Adaptive Visualization of Social Media Data for Policy Modeling.
Springer, Berlin, Heidelberg, New York, In: Advances in Visual Computing. 10th International Symposium, ISVC 2014, In: Lecture Notes in Computer Science (LNCS); 8887, DOI: 10.1007/978-3-319-14249-4₃₂, [Conference or Workshop Item]

Abstract

The visual analysis of social media data emerged a huge number of interactive visual representations that use different characteristics of the data to enable the process of information acquisition. The social data are used in the domain of policy modeling to gather information about citizens' demands, opinions, and requirements and help to decide about political policies. Although existing systems already provide a huge number of visual analysis tools, the search and exploration paradigm is not really clear. Furthermore, the systems commonly do not provide any kind of human centered adaptation for the different stakeholders involved in the policy making process. In this paper, we introduce a novel approach that investigates the exploration and search paradigm from two different perspectives and enables a visual adaptation to support the exploration and analysis process.

Item Type: Conference or Workshop Item
Erschienen: 2014
Creators: Nazemi, Kawa and Burkhardt, Dirk and Retz, Wilhelm and Kohlhammer, Jörn
Title: Adaptive Visualization of Social Media Data for Policy Modeling
Language: English
Abstract:

The visual analysis of social media data emerged a huge number of interactive visual representations that use different characteristics of the data to enable the process of information acquisition. The social data are used in the domain of policy modeling to gather information about citizens' demands, opinions, and requirements and help to decide about political policies. Although existing systems already provide a huge number of visual analysis tools, the search and exploration paradigm is not really clear. Furthermore, the systems commonly do not provide any kind of human centered adaptation for the different stakeholders involved in the policy making process. In this paper, we introduce a novel approach that investigates the exploration and search paradigm from two different perspectives and enables a visual adaptation to support the exploration and analysis process.

Series Name: Lecture Notes in Computer Science (LNCS); 8887
Publisher: Springer, Berlin, Heidelberg, New York
Uncontrolled Keywords: Business Field: Visual decision support, Research Area: Human computer interaction (HCI), Adaptive visualization, Information visualization, Visual analytics, Policy modeling, Social media analysis, Decision support
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: Advances in Visual Computing. 10th International Symposium, ISVC 2014
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1007/978-3-319-14249-4₃₂
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