Searching Blogs and News: A Study on Popular Queries

Publication Type

Conference Paper

Publication Date



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.


Blog, News, Search engine, Popular queries, Search results


Computer Sciences | Digital Communications and Networking

Research Areas

Information Systems and Management


31st Annual International ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR 2008)

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