TY - GEN
T1 - Understanding experts' and novices' expertise judgment of Twitter users
AU - Liao, Q. Vera
AU - Wagner, Claudia
AU - Pirolli, Peter
AU - Fu, Wai Tat
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Expertise judgment
KW - Recommendation system
KW - Twitter
UR - http://www.scopus.com/inward/record.url?scp=84862060583&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862060583&partnerID=8YFLogxK
U2 - 10.1145/2207676.2208410
DO - 10.1145/2207676.2208410
M3 - Conference contribution
AN - SCOPUS:84862060583
SN - 9781450310154
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 2461
EP - 2464
BT - Conference Proceedings - The 30th ACM Conference on Human Factors in Computing Systems, CHI 2012
T2 - 30th ACM Conference on Human Factors in Computing Systems, CHI 2012
Y2 - 5 May 2012 through 10 May 2012
ER -