ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
Online spam-blog detection through blog search
Proceedings of the 17th ACM conference on Information and knowledge management
Event detection with common user interests
Proceedings of the 10th ACM workshop on Web information and data management
A brief survey of computational approaches in social computing
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Context comparison of bursty events in web search and online media
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
#TwitterSearch: a comparison of microblog search and web search
Proceedings of the fourth ACM international conference on Web search and data mining
Detecting spam blogs from blog search results
Information Processing and Management: an International Journal
TI: an efficient indexing mechanism for real-time search on tweets
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Employing document dependency in blog search
Journal of the American Society for Information Science and Technology
An effective multi-clue fusion approach for web video topic detection
Proceedings of the 20th ACM international conference on Multimedia
Predicting event-relatedness of popular queries
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Blog/news search engines are very important channels to reach information about the real-time happenings. In this paper, we study the popular queries collected over one year period and compare their search results returned by a blog search engine (i.e., Technorati) and a news search engine (i.e., Google News). We observed that the numbers of hits returned by the two search engines for the same set of queries were highly correlated, suggesting that blogs often provide commentary to current events reported in news. As many popular queries are related to some events, we further observed a high cohesiveness among the returned search results for these queries.