Detecting cultural differences using consumer-generated geotagged photos
Proceedings of the 2nd International Workshop on Location and the Web
Social Network Analysis and Mining for Business Applications
ACM Transactions on Intelligent Systems and Technology (TIST)
Fragile online relationship: a first look at unfollow dynamics in twitter
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Do all birds tweet the same?: characterizing twitter around the world
Proceedings of the 20th ACM international conference on Information and knowledge management
Detecting culture in coordinates: cultural areas in social media
Proceedings of the 2011 international workshop on DETecting and Exploiting Cultural diversiTy on the social web
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With the constant increasing reach of the Web and in particular of Social Media, people create and share content that harbors information about habits, norms, preferences and values. Consequently, studying how culture influences users in online social media has increased the interest of several sectors such as the advertising industry, search engines and corporations. As a consequence, anthropological and computational models need to interact and complement each other to better target these new demands. Recently, several studies have analyzed culture from large-scale data but not many took into consideration the cultural models proposed by anthropological theory. By carrying out several experiments on large-scale data from the Web, we propose to combine theoretical concepts of culture with information technology techniques to process, analyze, model and interpret data from the Web. We plan to discover synergies between traditional social studies of culture and those derived from our experiments.