TY - GEN
T1 - Subjective versus objective questions
T2 - 8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015
AU - Liu, Zhe
AU - Jansen, Bernard J.
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - Recent research has indicated that social networking sites are being adopted as venues for online information-seeking. In order to understand questioner’s intention in social Q&A environments and to better facilitate such behaviors, we define two types of questions: subjective information-seeking questions and objective information seeking ones. To enable automatic detection on question subjectivity, we propose a predictive model that can accurately distinguish between the two classes of questions. By applying the classifier on a larger dataset, we present a comprehensive analysis to compare questions with subjective and objective orientations, in terms of their length, response speed, as well as the characteristics of their respondents. We find that the two types of questions exhibited very different characteristics. Also, we noticed that question subjectivity plays a significant role in attracting responses from strangers. Our results validate the expected benefits of differentiating questions according to their subjectivity orientations, and provide valuable insights for future design and development of tools that can assist the information seeking process under social context.
AB - Recent research has indicated that social networking sites are being adopted as venues for online information-seeking. In order to understand questioner’s intention in social Q&A environments and to better facilitate such behaviors, we define two types of questions: subjective information-seeking questions and objective information seeking ones. To enable automatic detection on question subjectivity, we propose a predictive model that can accurately distinguish between the two classes of questions. By applying the classifier on a larger dataset, we present a comprehensive analysis to compare questions with subjective and objective orientations, in terms of their length, response speed, as well as the characteristics of their respondents. We find that the two types of questions exhibited very different characteristics. Also, we noticed that question subjectivity plays a significant role in attracting responses from strangers. Our results validate the expected benefits of differentiating questions according to their subjectivity orientations, and provide valuable insights for future design and development of tools that can assist the information seeking process under social context.
UR - http://www.scopus.com/inward/record.url?scp=84925326932&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84925326932&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-16268-3_14
DO - 10.1007/978-3-319-16268-3_14
M3 - Conference contribution
AN - SCOPUS:84925326932
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 131
EP - 140
BT - Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings
A2 - Xu, Kevin
A2 - Agarwal, Nitin
A2 - Osgood, Nathaniel
PB - Springer Verlag
Y2 - 31 March 2015 through 3 April 2015
ER -