Bongard, Jan and Elßner, Tobias and Hu, Xuke and Kersten, Jens (2023) The Geography of Conflicts: A Comparative Assessment of Web Data. Association for Computing Machinery. 8th ACM SIGSPATIAL International Workshop on Security Response using GIS 2023, 2023-11-13, Hamburg. doi: 10.1145/3615884.3629424. ISBN 979-8-4007-0346-1. (In Press)
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Official URL: https://dl.acm.org/doi/10.1145/3615884.3629424
Abstract
The lack of trust is one of the most frequently addressed research gaps that hinders the practical deployment of social media information into decision-making process of disaster management. Furthermore, literature points out the lack of transferability of the developed methods to other countries and languages, the lack of long-term analyses, and the focus on specific online platforms. In order to bridge the gap between research and practice, this paper highlights in addition the need for data fusion, which allows web and social media data to be combined with commonly used information structures. Using the current Ukraine crisis as an example, this initial paper focuses on the fusion of social media, online news and humanitarian datasets. The goal is to evaluate the reliability of social media information. By using an aggregation methodology that structures the data based on spatio-temporal and semantic similarity, a binary reliability indicator is derived as a first prototype, which will serve as a basis for further developments. In addition, information quality indicators are presented that allow to evaluate the context created by the fusion and the results obtained from it. Preliminary results reveal the beneficial effect of the obtained context and reliability indicator. Furthermore, the results show that social media make a significant contribution to the dissemination of unique information, both in terms of spatio-temporal and semantic aspects.
Item URL in elib: | https://elib.dlr.de/198350/ | ||||||||||||||||||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||||||||||||||
Title: | The Geography of Conflicts: A Comparative Assessment of Web Data | ||||||||||||||||||||||||||||||||
Authors: |
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Date: | 2023 | ||||||||||||||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||||||||||||||
Open Access: | No | ||||||||||||||||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||||||||||||||||
In SCOPUS: | No | ||||||||||||||||||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||||||||||||||||||
DOI: | 10.1145/3615884.3629424 | ||||||||||||||||||||||||||||||||
Page Range: | pp. 18-23 | ||||||||||||||||||||||||||||||||
Editors: |
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Publisher: | Association for Computing Machinery | ||||||||||||||||||||||||||||||||
ISBN: | 979-8-4007-0346-1 | ||||||||||||||||||||||||||||||||
Status: | In Press | ||||||||||||||||||||||||||||||||
Keywords: | Web Data Fusion, Reliability, Spatial Analysis, Data Quality | ||||||||||||||||||||||||||||||||
Event Title: | 8th ACM SIGSPATIAL International Workshop on Security Response using GIS 2023 | ||||||||||||||||||||||||||||||||
Event Location: | Hamburg | ||||||||||||||||||||||||||||||||
Event Type: | Workshop | ||||||||||||||||||||||||||||||||
Event Date: | 13 November 2023 | ||||||||||||||||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||||||||||||||
HGF - Program: | Space | ||||||||||||||||||||||||||||||||
HGF - Program Themes: | Space System Technology | ||||||||||||||||||||||||||||||||
DLR - Research area: | Raumfahrt | ||||||||||||||||||||||||||||||||
DLR - Program: | R SY - Space System Technology | ||||||||||||||||||||||||||||||||
DLR - Research theme (Project): | R - Big Data and AI for decision support, R - Environment, Health and Big Data | ||||||||||||||||||||||||||||||||
Location: | Jena | ||||||||||||||||||||||||||||||||
Institutes and Institutions: | Institute of Data Science > Data Acquisition and Mobilisation | ||||||||||||||||||||||||||||||||
Deposited By: | Bongard, Jan | ||||||||||||||||||||||||||||||||
Deposited On: | 13 Nov 2023 16:09 | ||||||||||||||||||||||||||||||||
Last Modified: | 24 Apr 2024 20:58 |
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