Understanding experts' and novices' expertise judgment of Twitter users
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.
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Liao, V.; Wagner, C.; Pirolli, P.; Fu, W. Understanding experts' and novices' expertise judgment of Twitter users. ACM Conference on Human Factors in Computing Systems (CHI 2012); 2012 May 5-10; Austin, TX.
Copyright © ACM, 2012. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Conference on Human Factors in Computing Systems (CHI 2012)