TwitterRank: finding topic-sensitive influential twitterers
Proceedings of the third ACM international conference on Web search and data mining
Identifying topical authorities in microblogs
Proceedings of the fourth ACM international conference on Web search and data mining
Information Retrieval on the Blogosphere
Foundations and Trends in Information Retrieval
Finding news curators in twitter
Proceedings of the 22nd international conference on World Wide Web companion
Who watches (and shares) what on youtube? and when?: using twitter to understand youtube viewership
Proceedings of the 7th ACM international conference on Web search and data mining
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Judging topical expertise of micro-blogger is one of the key challenges for information seekers when deciding which information sources to follow. However, it is unclear how useful different types of information are for people to make expertise judgments and to what extent their background knowledge influences their judgments. This study explored differences between experts and novices in inferring expertise of Twitter users. In three conditions, participants rated the level of expertise of users after seeing (1) only the tweets, (2) only the contextual information including short biographical and user list information, and (3) both tweets and contextual information. Results indicated that, in general, contextual information provides more useful information for making expertise judgment of Twitter users than tweets. While the addition of tweets seems to make little difference, or even add nuances to novices' expertise judgment, experts' judgments were improved when both content and contextual information were presented.