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Using Social Media to Estimate the Audience Sizes of Public Events for Crisis Management and Emergency Care

Felka, Patrick and Sterz, Artur and Hinz, Oliver and Freisleben, Bernd (2018):
Using Social Media to Estimate the Audience Sizes of Public Events for Crisis Management and Emergency Care.
In: International Conference for Smart Health (ICSH), [Conference or Workshop Item]

Abstract

Public events such as soccer games, concerts, or street festivals attract large crowds of visitors. In an emergency situation, estimations about current events and their numbers of visitors are important to be able to react early and effectively by performing adequate countermeasures. Previous research has proposed ap-proaches to detect events like accidents and catastrophes by relying on user-generated content and reporting event-related information. To be proactive in case of an emergency, it is important to know what is happening in direct proximity, even if it is not yet affected by the catastrophe. Therefore, information about on-going events and numbers of visitors in the surrounding environment is indis-pensable. We develop a system design that allows collecting and merging event-related information from social media to provide estimations of the audience siz-es. We illustrate the potential of our approach by estimating the number of visi-tors of soccer games, fairs, street festivals, music festivals, and concerts, and by comparing it to the real numbers of visitors. Our results indicate that matching event-related user-generated content leads to improvements of the estimations. Finally, we demonstrate the usefulness of the system in a recent crisis scenario.

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Felka, Patrick and Sterz, Artur and Hinz, Oliver and Freisleben, Bernd
Title: Using Social Media to Estimate the Audience Sizes of Public Events for Crisis Management and Emergency Care
Language: English
Abstract:

Public events such as soccer games, concerts, or street festivals attract large crowds of visitors. In an emergency situation, estimations about current events and their numbers of visitors are important to be able to react early and effectively by performing adequate countermeasures. Previous research has proposed ap-proaches to detect events like accidents and catastrophes by relying on user-generated content and reporting event-related information. To be proactive in case of an emergency, it is important to know what is happening in direct proximity, even if it is not yet affected by the catastrophe. Therefore, information about on-going events and numbers of visitors in the surrounding environment is indis-pensable. We develop a system design that allows collecting and merging event-related information from social media to provide estimations of the audience siz-es. We illustrate the potential of our approach by estimating the number of visi-tors of soccer games, fairs, street festivals, music festivals, and concerts, and by comparing it to the real numbers of visitors. Our results indicate that matching event-related user-generated content leads to improvements of the estimations. Finally, we demonstrate the usefulness of the system in a recent crisis scenario.

Uncontrolled Keywords: C5E,
Divisions: DFG-Collaborative Research Centres (incl. Transregio)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > B: Adaptation Mechanisms
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > B: Adaptation Mechanisms > Subproject B3: Economics of Adaption
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > C: Communication Mechanisms
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > C: Communication Mechanisms > Subproject C5: Context-Centered Perspective
Event Title: International Conference for Smart Health (ICSH)
Date Deposited: 19 Jun 2018 10:39
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