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#TwitterSearch
2011
Proceedings of the fourth ACM international conference on Web search and data mining - WSDM '11
Social networking Web sites are not just places to maintain relationships; they can also be valuable information sources. However, little is known about how and why people search socially-generated content. In this paper we explore search behavior on the popular microblogging/social networking site Twitter. Using analysis of large-scale query logs and supplemental qualitative data, we observe that people search Twitter to find temporally relevant information (e.g., breaking news, real-time
doi:10.1145/1935826.1935842
dblp:conf/wsdm/TeevanRM11
fatcat:w6ohwjr4dnhtbl3wrfhdt73haa