Online from: 1991
Subject Area: Information and Knowledge Management
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|Title:||Determinants of information retweeting in microblogging|
|Author(s):||Zhiming Liu, (School of Economics and Management, Beihang University, Beijing, China), Lu Liu, (School of Economics and Management, Beihang University, Beijing, China), Hong Li, (School of Economics and Management, Beihang University, Beijing, China)|
|Citation:||Zhiming Liu, Lu Liu, Hong Li, (2012) "Determinants of information retweeting in microblogging", Internet Research, Vol. 22 Iss: 4, pp.443 - 466|
|Keywords:||Blogs, China, Emergency event, Heuristic-Systematic Model (HSM), Information retweeting, Microblogging, Sentiment mining, Social media|
|Article type:||Research paper|
|DOI:||10.1108/10662241211250980 (Permanent URL)|
|Publisher:||Emerald Group Publishing Limited|
|Acknowledgements:||The research is supported by the National Natural Science Foundation of China under Grant No. 90924020 and the PhD Program Foundation of Education Ministry of China under Contract No. 200800060005.|
Purpose – The purpose of this paper is to propose a conceptual model to investigate the determinants of information retweeting in microblogging based on Heuristic-Systematic Model.
Design/methodology/approach – Microblogging data about emergency events from Sina microblogging (http://weibo.com) are collected and analyzed with text mining technology. The proposed hypotheses are tested with logistic and multiple linear regressions.
Findings – The results show that source trustworthiness, source expertise, source attractiveness, and the number of multimedia have significant effects on the information retweeting. In addition, source expertise moderates the effects of user trustworthiness and content objectivity on the information retweeting in microblogging.
Practical implications – This study provides an in-depth understanding of what makes information about emergency events in microblogging diffuse so rapidly. Based on these findings the emergency management organizations in China can apply the microblogging to spread useful information, and these findings also provide practical implications for microblogging system designers.
Originality/value – The primary value of this paper lies in providing a better understanding of information retweeting in microblogging based on Heuristic-Systematic Model. Organizations that would like to adopt the microblogging platform in emergency situations to improve the ability of emergency response can benefit from the findings of this study.
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