Presentation 2017-02-27
Profile Factors and Feedback Received in Q&A
Andrew Vargo, Shigeo Matsubara,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Previous work has described that community feedback on poor questions in Q&A receives many critical comments that attack the questioners? abilities, effort, and motivation. However, the distribution across different questioner profile types is unknown. This research looks at the distribution of comments in relation to identity factors like anonymity, nationality, and gender. This work employs both Grounded Theory and proposes using data mining for further analysis. Preliminary results indicate little difference between broad indicators of identity.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Social Q&A / Community Feedback / Grounded Theory
Paper # AI2016-40
Date of Issue 2017-02-20 (AI)

Conference Information
Committee AI
Conference Date 2017/2/27(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Kyoto Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Toshiharu Sugawara(Waseda Univ.)
Vice Chair Tsunenori Mine(Kyushu Univ.) / Daisuke Katagami(Tokyo Polytechnic Univ.)
Secretary Tsunenori Mine(Ritsumeikan Univ.) / Daisuke Katagami(Shizuoka Univ.)
Assistant Yuichi Sei(Univ. of Electro-Comm.)

Paper Information
Registration To Technical Committee on Artificial Intelligence and Knowledge-Based Processing
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Profile Factors and Feedback Received in Q&A
Sub Title (in English)
Keyword(1) Social Q&A
Keyword(2) Community Feedback
Keyword(3) Grounded Theory
1st Author's Name Andrew Vargo
1st Author's Affiliation The Kyoto College of Graduate Studies for Informatics(KCGI)
2nd Author's Name Shigeo Matsubara
2nd Author's Affiliation Kyoto University(Kyoto University)
Date 2017-02-27
Paper # AI2016-40
Volume (vol) vol.116
Number (no) AI-474
Page pp.pp.31-33(AI),
#Pages 3
Date of Issue 2017-02-20 (AI)