Title
Mining Twitter for Cultural Patterns.
Abstract
Adaptive applications rely on the knowledge of their users, their needs and differences. For instance, in the scope of the ImReal project, a training process is adapted to users’ origins using information on user cultural backgrounds. For inferring culture-specific information from available microblogging content, we monitor the usage of Twitter elements such as hashtags, web links and user mentions. We analyze how users from different cultural groups employ these elements when they tweet. This allows us to get insights on microblogging patterns for different cultural groups of Twitter users and an outlook into user preferences and traits towards sharing content with others, time preferences, and social networking attitudes. Potentially, such information can be used for adapting software applications in accord with user culture-specific behavioral traits.
Year
Venue
DocType
2012
Mensch & Computer Workshopband
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
3
Name
Order
Citations
PageRank
Elena Ilina190.85
Fabian Abel2118762.22
Geert-jan Houben32547209.67