Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
11-2013
Abstract
Sensing social media for trends and events has become possible as increasing number of users rely on social media to share information. In the event of a major disaster or social event, one can therefore study the event quickly by gathering and analyzing social media data. One can also design appropriate responses such as allocating resources to the affected areas, sharing event related information, and managing public anxiety. Past research on social event studies using social media often focused on one type of data analysis (e.g., hashtag clusters, diffusion of events, influential users, etc.) on a single social media data source. This paper adopts a comprehensive social event analysis framework covering content, emotion, activity, and network. We propose a set of measures for each dimension accordingly. The usefulness of these analyses are demonstrated through a haze event that severely affected Singapore and its neighbors in June 2013. The analysis, conducted on both Twitter and Foursquare data, shows that much user attention was given to the haze event. The event also saw substantial emotional and behavioral impact on the social media users. These additional insights will help both public and private sectors to prepare themselves for future haze related events.
Keywords
Singapore, Information Systems Applications, Computer Communication Networks, Artificial Intelligence, Computer Application in Social and Behavioral Sciences, User Interfaces and Human Computer Interaction, Data Mining and Knowledge Discovery
Discipline
Asian Studies | Databases and Information Systems | Numerical Analysis and Scientific Computing | Social Media | Urban Studies
Research Areas
Psychology
Publication
Social Informatics: 5th International Conference, SocInfo 2013, Kyoto, Japan, November 25-27, 2013: Proceedings
Volume
8238
First Page
478
Last Page
491
ISBN
9783319032603
Identifier
10.1007/978-3-319-03260-3_41
Publisher
Springer Verlag
City or Country
Cham
Citation
PRASETYO, Philips Kokoh; GAO, Ming; LIM, Ee Peng; and SCOLLON, Christie N..
Social sensing for urban crisis management: The case of Singapore Haze. (2013). Social Informatics: 5th International Conference, SocInfo 2013, Kyoto, Japan, November 25-27, 2013: Proceedings. 8238, 478-491.
Available at: https://ink.library.smu.edu.sg/sis_research/1964
Copyright Owner and License
LARC
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://doi.org/10.1007/978-3-319-03260-3_41
Included in
Asian Studies Commons, Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons, Social Media Commons, Urban Studies Commons