Publication Type

Conference Proceeding Article

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

Data Management and Analytics; 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

Copyright Owner and License

LARC

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://dx.doi.org/10.1007/978-3-319-03260-3_41