Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/102433
Title: | Content or context : which matters more in information processing on microblogging sites | Authors: | Zhang, Lun Peng, Tai-Quan Zhang, Ya-Peng Wang, Xiao-Hong Zhu, Jonathan J. H. |
Keywords: | DRNTU::Humanities::General DRNTU::Social sciences::Communication |
Issue Date: | 2013 | Source: | Zhang, L., Peng, T.-Q., Zhang, Y.-P., Wang, X.-H., & Zhu, J. J. (2014). Content or context: Which matters more in information processing on microblogging sites. Computers in Human Behavior, 31, 242-249. | Series/Report no.: | Computers in human behavior | Abstract: | With a framework based on the heuristic-systematic model of information processing, this study examined the effects of both content and contextual factors on the popularity of microblogging posts. The popularity of posts was operationalized as the re-tweeting times and number of comments received by posts, which are users’ behavioral outcomes after processing information. The data of the study were 10,000 posts randomly drawn from a popular microblogging site in China. Content factors were found to outperform contextual ones in accounting for posts’ popularity, which suggests that systematic strategy dominates users’ information processing in comparison with heuristic strategy on microblogging sites. Our findings implied that re-tweeting and commenting are distinct types of microblogging behaviors. Re-tweeting aims to disseminate information in which the source credibility (e.g., users’ authoritativeness) and posts’ informativeness play important roles, whereas commenting emphasizes social interaction and conversation in which users’ experience and posts’ topics are more important. | URI: | https://hdl.handle.net/10356/102433 http://hdl.handle.net/10220/18957 |
ISSN: | 0747-5632 | DOI: | 10.1016/j.chb.2013.10.031 | Schools: | Wee Kim Wee School of Communication and Information | Rights: | © 2013 Elsevier. This is the author created version of a work that has been peer reviewed and accepted for publication by Computers in Human Behavior, Elsevier. 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: [DOI: http://dx.doi.org/10.1016/j.chb.2013.10.031]. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | WKWSCI Journal Articles |
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Zhang et al_2014_CHB.pdf | 1.25 MB | Adobe PDF | View/Open |
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