Toward a Theory of Knowledge Reuse: Types of Knowledge Reuse Situations and Factors in Reuse Success
Journal of Management Information Systems
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Transparency and social responsibility issues for Wikipedia
Ethics and Information Technology
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Microblogging after a major disaster in China: a case study of the 2010 Yushu earthquake
Proceedings of the ACM 2011 conference on Computer supported cooperative work
Factors Affecting Bloggers' Knowledge Sharing: An Investigation Across Gender
Journal of Management Information Systems
(How) will the revolution be retweeted?: information diffusion and the 2011 Egyptian uprising
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Journal of the American Society for Information Science and Technology
Trending Twitter topics in English: An international comparison
Journal of the American Society for Information Science and Technology
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This study reports on an exploratory survey conducted to investigate the use of social media technologies for sharing information. This paper explores the issue of credibility of the information shared in the context of computer-mediated communication. Four categories of information were explored: sensitive, sensational, political and casual information, across five popular social media technologies: social networking sites, micro-blogging sites, wikis, online forums, and online blogs. One hundred and fourteen active users of social media technologies participated in the study. The exploratory analysis conducted in this study revealed that information producers use different cues to indicate credibility of the information they share on different social media sites. Organizations can leverage findings from this study to improve targeted engagement with their customers. The operationalization of how information credibility is codified by information producers contributes to knowledge in social media research.