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Information Propagation Cultures on                                     Sina Weibo and Twitter                            ...
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Information Propagation Cultures on Sina Weibo and Twitter

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Information Propagation Cultures on Sina Weibo and Twitter

  1. 1. Information Propagation Cultures on Sina Weibo and Twitter Qi Gao1, Fabian Abel1, Geert-Jan Houben1, Yong Yu2 1 Web Information Systems, Delft University of Technology 2 APEX Lab, Shanghai Jiao Tong University 1 fraction of posts that contain a hashtag Q1: How quickly do users Q2: What are the syntactical 0.1 propagate information on Sina characteristics of messages that Weibo and Twitter? people propagate on Sina Weibo 0.01 and Twitter? time distance (in hours) Twitter users repost messages Weibo 0.001 Weibo-all posts 1000 Weibo-reposts faster than Sina Weibo Users. Twitter Users on Twitter seem to be more Twitter-all posts 100 triggered by hashtags and URLs 0 Twitter-reposts 10 when propagating information 0% 20% 40% 60% 80% 100% users Explanation: Twitter users may than on Sina Weibo. 1 1 have the impression that they fraction of posts that 0.1 play an important role in the contain a URL Explanation: Twitter users seem 0.1 information propagation process, 0 to be more eager to let their i.e. they act as if they are in the 0% 20% 40% 60% users 80% 100% posts appear in the public 0.01 power of spreading information discussion – possibly a higher Weibo-all posts (power distance). demand to profile themselves 0.001 Weibo-reposts (individualism). Twitter-all posts 0 Twitter-reposts 0% 20% 40% 60% 80% 100% users Temporal Analysis Syntactic Analysis Cultural Models Microblogging Platforms Culture-aware User Modeling and Analysis data acquisition multilingual NER Cultural Analytics metadata extraction semantic enrichment topic/interest modeling user profile construction Semantic Web Sentiment Analysis Semantic Analysis Q3: What are the sentiment Q4: To what extent do the user characteristics of messages that interests vary between Sina Weibo people propagate on Sina Weibo and Twitter? and Twitter? fraction of positve reposts 100% Weibo Twitter The topics and concepts users Chinese microbloggers have a 80% discuss on Sina Weibo differ from stronger tendency to propagate 60% more positive posts Twitter. User interests are broader positive messages. on Sina Weibo than on Twitter. #distinct reposted users more negative posts 40% Weibo ratio of #reposts to 1000 Twitter 20% Explanation: Chinese Explanation: The positive nature microblogging behavior follows a 100 of the propagated information on 0% rather collectivistic culture - Sina Weibo might point at the 0% 20% 40% 60% users 80% 100% actual content of a message 10 long term orientation that is seems to be more important. attributed to the Chinese culture. 1 0% 20% 40% 60% 80% 100% users[1] Qi Gao, Fabian Abel, Geert-Jan Houben, Yong Yu. Information Propagation Cultures on Sina Weibo and Twitter.In Proceedings of ACM Web Science Conference 2012. Evanston, USA. June, 2012[2] Qi Gao, Fabian Abel, Geert-Jan Houben, Yong Yu. A Comparative Study of Users’ Microblogging Behavior on Sina Weibo and Twitter.In Proceedings of 20th International Conference on User Modeling, Adaptation, and Personalization. Montréal, Canada. July, 2012Contact:Qi Gao, Fabian Abel, Geert-Jan Houben, Yong Yuhttp://wis.ewi.tudelft.nl - q.gao@tudelft.nl

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