information propagation cultures on sina weibo and twitter
TRANSCRIPT
Contact: Qi Gao, Fabian Abel, Geert-Jan Houben, Yong Yu http://wis.ewi.tudelft.nl - [email protected]
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] 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, 2012
Q1: How quickly do users propagate information on Sina Weibo and Twitter?
Twitter users repost messages faster than Sina Weibo Users.
Explanation: Twitter users may have the impression that they play an important role in the information propagation process, i.e. they act as if they are in the power of spreading information (power distance).
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Q3: What are the sentiment characteristics of messages that people propagate on Sina Weibo and Twitter?
Chinese microbloggers have a stronger tendency to propagate positive messages.
Explanation: The positive nature of the propagated information on Sina Weibo might point at the long term orientation that is attributed to the Chinese culture.
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Q2: What are the syntactical characteristics of messages that people propagate on Sina Weibo and Twitter?
Users on Twitter seem to be more triggered by hashtags and URLs when propagating information than on Sina Weibo.
Explanation: Twitter users seem to be more eager to let their posts appear in the public discussion – possibly a higher demand to profile themselves (individualism).
Culture-aware User Modeling and Analysis
Cultural Analytics
Microblogging Platforms
Semantic Web
Cultural Models
Temporal Analysis
Semantic Analysis
topic/interest modeling
semantic enrichment
Syntactic Analysis
Sentiment Analysis
data acquisition
metadata extraction
user profile construction
multilingual NER
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Q4: To what extent do the user interests vary between Sina Weibo and Twitter?
The topics and concepts users discuss on Sina Weibo differ from Twitter. User interests are broader on Sina Weibo than on Twitter.
Explanation: Chinese microblogging behavior follows a rather collectivistic culture - actual content of a message seems to be more important.
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