Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/80841
Title: Twittering the Little India Riot: Audience responses, information behavior and the use of emotive cues
Authors: Pang, Natalie
Ng, Joshua
Keywords: DRNTU::Social sciences::Mass media::Alternative media
DRNTU::Social sciences::Sociology::Social behavior
Issue Date: 2016
Source: Pang, N., & Ng, J. (2016). Twittering the Little India Riot: Audience responses, information behavior and the use of emotive cues. Computers in Human Behavior, 54, 607-619.
Series/Report no.: Computers in Human Behavior
Abstract: In crises and disasters, social media not only facilitates mobilization, sharing of critical information, but also enables people to watch and participate as the crisis unfolds. Participation is now much more open to those beyond the immediately affected: the victims, the rescue workers and other stakeholders. This paper reports on a study of tweets collected during and after a rare occurrence of a violent riot in Singapore, illustrating the evolution of crisis responses, emotive cues information seeking and sharing behavior on Twitter over the lifecycle of the riot. Evidence of orientation of responses from the self towards the community as the riot progresses was found, contributing to ongoing research on community building in crises. Emotive cues were most dominant in the first hour of the riot, with various responses fluctuating over the riot's lifecycle. Emotive cues predicted most responses except for tweets that were reasoning about the riot, and also had an effect on informational tweets. Retweets drove most activity, and users also shared information and formed communal dialogue within their own networks. Despite the dominance of negative emotive cues and responses to the crisis, positive tweets – those singing praises and thanking stakeholders – were more likely to be retweeted.
URI: https://hdl.handle.net/10356/80841
http://hdl.handle.net/10220/38884
ISSN: 0747-5632
DOI: 10.1016/j.chb.2015.08.047
Rights: © 2015 Elsevier Ltd. This is the author created version of a work that has been peer reviewed and accepted for publication by Computers in Human Behavior, Elsevier Ltd. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.chb.2015.08.047].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Journal Articles

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