Please use this identifier to cite or link to this item: https://doi.org/10.1109/DASC.2011.151
Title: An exploration of social media in public opinion convergence: Elaboration likelihood and semantic networks on political events
Authors: Wu, Y.
Wong, J.
Deng, Y.
Chang, K. 
Keywords: affective tweet
elaboration likelihood model
informative tweet
opinion convergence
social media
Issue Date: 2011
Source: Wu, 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. https://doi.org/10.1109/DASC.2011.151
Abstract: This 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.
Source Title: Proceedings - IEEE 9th International Conference on Dependable, Autonomic and Secure Computing, DASC 2011
URI: http://scholarbank.nus.edu.sg/handle/10635/42632
ISBN: 9780769546124
DOI: 10.1109/DASC.2011.151
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