Please use this identifier to cite or link to this item: https://doi.org/10.1109/DASC.2011.151
DC FieldValue
dc.titleAn exploration of social media in public opinion convergence: Elaboration likelihood and semantic networks on political events
dc.contributor.authorWu, Y.
dc.contributor.authorWong, J.
dc.contributor.authorDeng, Y.
dc.contributor.authorChang, K.
dc.date.accessioned2013-07-11T10:14:12Z
dc.date.available2013-07-11T10:14:12Z
dc.date.issued2011
dc.identifier.citationWu, Y.,Wong, J.,Deng, Y.,Chang, K. (2011). An exploration of social media in public opinion convergence: Elaboration likelihood and semantic networks on political events. Proceedings - IEEE 9th International Conference on Dependable, Autonomic and Secure Computing, DASC 2011 : 903-910. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/DASC.2011.151" target="_blank">https://doi.org/10.1109/DASC.2011.151</a>
dc.identifier.isbn9780769546124
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/42632
dc.description.abstractThis study investigated use of social media to enable public opinion convergence in activities with wide-scale interaction, such as in political events. Using theoretical foundations in elaboration likelihood, we explored the process of opinion convergence by analyzing Twitter data of Singapore General Election 2011. Our quantitative analyses showed that informative tweets were more effective than affective tweets in opinion convergence, and their interactive effect on social impact was significant. In addition, qualitative analyses using semantic network maps enabled us to distinguish the central and peripheral routes of influence. We discussed both theoretical and practical implications of our findings with respect to social impact and new media. © 2011 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/DASC.2011.151
dc.sourceScopus
dc.subjectaffective tweet
dc.subjectelaboration likelihood model
dc.subjectinformative tweet
dc.subjectopinion convergence
dc.subjectsocial media
dc.typeConference Paper
dc.contributor.departmentINFORMATION SYSTEMS
dc.description.doi10.1109/DASC.2011.151
dc.description.sourcetitleProceedings - IEEE 9th International Conference on Dependable, Autonomic and Secure Computing, DASC 2011
dc.description.page903-910
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.