Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/144340
Title: Rumor retransmission on Twitter : message characteristics, user characteristics and retransmission outcomes
Authors: Chua, Alton Yeow Kuan
Chen, Xiaoyu
Keywords: Social sciences::Communication
Issue Date: 2020
Source: Chua, A. Y. K., & Chen, X. (2020). Rumor retransmission on Twitter : message characteristics, user characteristics and retransmission outcomes. Journal of Digital Information Management, 18(1), 21-32. doi:10.6025/jdim/2020/18/1/21-32
Journal: Journal of Digital Information Management
Abstract: This paper seeks to depict online rumor retransmission using three main constructs, namely, message characteristics, user characteristics and retransmission outcomes. In particular, it teases retransmission outcomes into volume, immediacy and lifespan of rumor tweets. The dataset was drawn from 322 original Twitter messages which generated some 5,700 retweets about the rumored death of Lee Kuan Yew (LKY). Content analysis and statistical tests were conducted. The results confirm the robustness of the research model. Specifically, rumor message characteristics affect retransmission in terms of volume, immediacy and lifespan. Additionally, user characteristics are positively related to volume and immediacy. Finally, user characteristics have a moderating effect on the relationships between rumor message characteristics and retransmission outcomes. This paper illustrates the applicability of the information diffusion model on online rumor retransmission which hitherto has yet to be attempted. Moreover, it granularizes the concept of online rumor retransmission into three important outcomes, namely, volume, immediacy and lifespan. On the practical front, this paper has implications for organizations seeking to combat rumors.
URI: https://hdl.handle.net/10356/144340
ISSN: 0972-7272
DOI: 10.6025/jdim/2020/18/1/21-32
Schools: Wee Kim Wee School of Communication and Information 
Rights: © 2020 Digital Information Research Foundation. All rights reserved.This paper was published in Journal of Digital Information Management and is made available with permission of Digital Information Research Foundation.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Journal Articles

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