TY - GEN
T1 - Factors influencing the response rate in social question & answering behavior
AU - Liu, Zhe
AU - Jansen, Bernard J.
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - With the increasing growth and popularity of social networking sites, social question and answering has become a venue for individuals to seek and share information. This study evaluates eleven extrinsic factors that may influence the response rate in social question and answering. These factors include the number of followers, the frequency of posting, the number of at-mentioned recipients, whether or not a question contains any at-mentioned verified account, unverified account, hashtag, emoticon, expression of gratitude, repeated punctuation and interjections, as well as the topic and the posting time period of a question. We collected and analyzed over 10,000 questions from Sina Weibo. Eight out of all eleven features were found to significantly predict the number of responses received. We believe that our study is of significant value in providing insights for the design and development of future social question and answering tools, as well as enhancing the collaboration among social network users in supporting social information seeking activities.
AB - With the increasing growth and popularity of social networking sites, social question and answering has become a venue for individuals to seek and share information. This study evaluates eleven extrinsic factors that may influence the response rate in social question and answering. These factors include the number of followers, the frequency of posting, the number of at-mentioned recipients, whether or not a question contains any at-mentioned verified account, unverified account, hashtag, emoticon, expression of gratitude, repeated punctuation and interjections, as well as the topic and the posting time period of a question. We collected and analyzed over 10,000 questions from Sina Weibo. Eight out of all eleven features were found to significantly predict the number of responses received. We believe that our study is of significant value in providing insights for the design and development of future social question and answering tools, as well as enhancing the collaboration among social network users in supporting social information seeking activities.
UR - http://www.scopus.com/inward/record.url?scp=84874828507&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84874828507&partnerID=8YFLogxK
U2 - 10.1145/2441776.2441918
DO - 10.1145/2441776.2441918
M3 - Conference contribution
AN - SCOPUS:84874828507
SN - 9781450313315
T3 - Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
SP - 1263
EP - 1273
BT - CSCW 2013 - Proceedings of the 2013 ACM Conference on Computer Supported Cooperative Work
T2 - 2013 2nd ACM Conference on Computer Supported Cooperative Work, CSCW 2013
Y2 - 23 February 2013 through 27 February 2013
ER -