The dynamics of viral marketing
ACM Transactions on the Web (TWEB)
Foundations and Trends in Web Science
Information arbitrage across multi-lingual Wikipedia
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Extraction and classification of dense implicit communities in the Web graph
ACM Transactions on the Web (TWEB)
Meme-tracking and the dynamics of the news cycle
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Extracting world and linguistic knowledge from Wikipedia
NAACL-Tutorials '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Tutorial Abstracts
"edit this page": the socio-technological infrastructure of a wikipedia article
Proceedings of the 27th ACM international conference on Design of communication
Proceedings of the 5th International Symposium on Wikis and Open Collaboration
How and why do college students use Wikipedia?
Journal of the American Society for Information Science and Technology
Readers are not free-riders: reading as a form of participation on wikipedia
Proceedings of the 2010 ACM conference on Computer supported cooperative work
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
WikiTranslate: query translation for cross-lingual information retrieval using only Wikipedia
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
The Cross-Lingual Wiki Engine: enabling collaboration across language barriers
WikiSym '08 Proceedings of the 4th International Symposium on Wikis
WikiTopics: what is popular on Wikipedia and why
WASDGML '11 Proceedings of the Workshop on Automatic Summarization for Different Genres, Media, and Languages
Wiki architectures as social translucence enablers
Proceedings of the 7th International Symposium on Wikis and Open Collaboration
Cultural awareness in social media
Proceedings of the 2011 international workshop on DETecting and Exploiting Cultural diversiTy on the social web
Discussion about Translation in Wikipedia
CULTURE-COMPUTING '11 Proceedings of the 2011 Second International Conference on Culture and Computing
Analysis of discussion contributions in translated Wikipedia articles
Proceedings of the 4th international conference on Intercultural Collaboration
Identifying communicator roles in twitter
Proceedings of the 21st international conference companion on World Wide Web
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Wikipedia has grown to become the most successful online encyclopedia on the Web, containing over 24 million articles, offered in over 240 languages. In just over 10 years Wikipedia has transformed from being just an encyclopedia of knowledge, to a wealth of facts and information, from articles discussing trivia, political issues, geographies and demographics, to popular culture, news articles, and social events. In this paper we explore the use of Wikipedia for identifying the flow of information and trends across the world. We start with the hypothesis that, given that Wikipedia is a resource that is globally available in different languages across countries, access to its articles could be a reflection human activity. To explore this hypothesis we try to establish metrics on the use of Wikipedia in order to identify potential trends and to establish whether or how those trends flow from one county to another. We subsequently compare the outcome of this analysis to that of more established methods that are based on online social media or traditional media. We explore this hypothesis by applying our approach to a subset of Wikipedia articles and also a specific worldwide social phenomenon that occurred during 2012; we investigate whether access to relevant Wikipedia articles correlates to the viral success of the South Korean pop song, "Gangnam Style" and the associated artist "PSY" as evidenced by traditional and online social media. Our analysis demonstrates that Wikipedia can indeed provide a useful measure for detecting social trends and events, and in the case that we studied; it could have been possible to identify the specific trend quicker in comparison to other established trend identification services such as Google Trends.