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A Comparison of Microblog Search and Web Search
#TwitterSearch:
A Comparison of Microblog Search and Web Search
Jaime Teevan
Microsoft Research
One Microsoft Way
Redmond, WA USA
teevan@
Daniel Ramage
Stanford University
353 Serra Mall
Stanford, CA USA
dramage@
Meredith Ringel Morris
Microsoft Research
One Microsoft Way
Redmond, WA USA
merrie@
ABSTRACT
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 content, and popular
trends) and information related to people (e.g., content directed at
the searcher, information about people of interest, and general
sentiment and opinion). Twitter queries are shorter, more popular,
and less likely to evolve as part of a session than Web queries. It
appears people repeat Twitter queries to monitor the associated
search results, while changing and developing Web queries to learn
about a topic. The results returned from the different corpora
support these different uses, with Twitter results including more
social chatter and social events, and Web results containing more
basic facts and navigational content. We discuss the implications of
these findings for the design of next-generation Web search tools
that incorporate social media.
Categories and Subject Descriptors
H.3.3 [Information Storage and Retrieval]: Information Search
and Retrieval – search process.
General Terms
Measurement, Design, Human Factors.
Keywords
Social media, Web search, microblogging, social search, QA.
1. INTRODUCTION
Many popular social networking services enable users to write brief
status messages that they c
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