TY - GEN
T1 - A taxonomy for classifying questions asked in social question and answering
AU - Liu, Zhe
AU - Jansen, Bernard J.
PY - 2015/4/18
Y1 - 2015/4/18
N2 - The rapid advancement of Web2.0 technologies has made social networking sites, such as Facebook and twitter, important venues for individuals to seek and share information. As understanding the information needs of users is crucial for designing and developing tools to support their social Q&A behaviors, in this paper, we present a new way of classifying questions from a design perspective, with the aim of facilitating the development of question routing systems according to individual's information need. As an attempt to understand the questioner's intent in social question and answering environments, we propose a taxonomy of questions posted on Twitter, called ASK. Our taxonomy uncovers three different kinds of questions: accuracy, social, and knowledge. In addition, to enable automatic detection on these three types of information needs, we measured and reported on the differences in ASK types of questions reflected at both lexical and syntactic levels. Copyright is held by the author/owner(s).
AB - The rapid advancement of Web2.0 technologies has made social networking sites, such as Facebook and twitter, important venues for individuals to seek and share information. As understanding the information needs of users is crucial for designing and developing tools to support their social Q&A behaviors, in this paper, we present a new way of classifying questions from a design perspective, with the aim of facilitating the development of question routing systems according to individual's information need. As an attempt to understand the questioner's intent in social question and answering environments, we propose a taxonomy of questions posted on Twitter, called ASK. Our taxonomy uncovers three different kinds of questions: accuracy, social, and knowledge. In addition, to enable automatic detection on these three types of information needs, we measured and reported on the differences in ASK types of questions reflected at both lexical and syntactic levels. Copyright is held by the author/owner(s).
UR - http://www.scopus.com/inward/record.url?scp=84954232921&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84954232921&partnerID=8YFLogxK
U2 - 10.1145/2702613.2732928
DO - 10.1145/2702613.2732928
M3 - Conference contribution
AN - SCOPUS:84954232921
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 1947
EP - 1952
BT - CHI 2015 - Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015
Y2 - 18 April 2015 through 23 April 2015
ER -