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A Taxonomy for Classifying Questions Asked in Social Question and Answering

Authors:

Zhe Liu,

Bernard J. JansenAuthors Info & Claims

CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

Pages 1947 - 1952

https://doi.org/10.1145/2702613.2732928

Published: 18 April 2015 Publication History

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Abstract

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.

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Cited By

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Cambazoglu BTavakoli LScholer FSanderson MCroft BScholer FThomas PElsweiler DJoho HKando NSmith C(2021)An Intent Taxonomy for Questions Asked in Web SearchProceedings of the 2021 Conference on Human Information Interaction and Retrieval10.1145/3406522.3446027(85-94)Online publication date: 14-Mar-2021
https://dl.acm.org/doi/10.1145/3406522.3446027
Chang JCheng JDanescu-Niculescu-Mizil C(2020)Don’t Let Me Be Misunderstood:Comparing Intentions and Perceptions in Online DiscussionsProceedings of The Web Conference 202010.1145/3366423.3380273(2066-2077)Online publication date: 20-Apr-2020
https://dl.acm.org/doi/10.1145/3366423.3380273
Herrera JParra DPoblete B(2020)Social QA in non-CQA platformsFuture Generation Computer Systems10.1016/j.future.2019.12.023105:C(631-649)Online publication date: 1-Apr-2020
https://dl.acm.org/doi/10.1016/j.future.2019.12.023
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A Taxonomy for Classifying Questions Asked in Social Question and Answering

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Published In

CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

April 2015

2546 pages

ISBN:9781450331463

DOI:10.1145/2702613

General Chairs:
Bo Begole
Huawei, USA
,
Jinwoo Kim
Yonsei University, Korea
,
Program Chairs:
Kori Inkpen
Microsoft Research, USA
,
Woontack Woo
KAIST, Korea

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2015

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CHI '15

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CHI '15: CHI Conference on Human Factors in Computing Systems

April 18 - 23, 2015

Seoul, Republic of Korea

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CHI EA '15 Paper Acceptance Rate 379 of 1,520 submissions, 25%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

View all

Cambazoglu BTavakoli LScholer FSanderson MCroft BScholer FThomas PElsweiler DJoho HKando NSmith C(2021)An Intent Taxonomy for Questions Asked in Web SearchProceedings of the 2021 Conference on Human Information Interaction and Retrieval10.1145/3406522.3446027(85-94)Online publication date: 14-Mar-2021
https://dl.acm.org/doi/10.1145/3406522.3446027
Chang JCheng JDanescu-Niculescu-Mizil C(2020)Don’t Let Me Be Misunderstood:Comparing Intentions and Perceptions in Online DiscussionsProceedings of The Web Conference 202010.1145/3366423.3380273(2066-2077)Online publication date: 20-Apr-2020
https://dl.acm.org/doi/10.1145/3366423.3380273
Herrera JParra DPoblete B(2020)Social QA in non-CQA platformsFuture Generation Computer Systems10.1016/j.future.2019.12.023105:C(631-649)Online publication date: 1-Apr-2020
https://dl.acm.org/doi/10.1016/j.future.2019.12.023
Guy IMakarenkov VHazon NRokach LShapira BChang YZhai CLiu YMaarek Y(2018)Identifying Informational vs. Conversational Questions on Community Question Answering ArchivesProceedings of the Eleventh ACM International Conference on Web Search and Data Mining10.1145/3159652.3159733(216-224)Online publication date: 2-Feb-2018
https://dl.acm.org/doi/10.1145/3159652.3159733
Herrera JPoblete BParra D(2018)Learning to Leverage Microblog Information for QA RetrievalAdvances in Information Retrieval10.1007/978-3-319-76941-7_38(507-520)Online publication date: 1-Mar-2018
https://doi.org/10.1007/978-3-319-76941-7_38

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Predicting potential responders in social Q&A based on non-QA features

Factors influencing the response rate in social question and answering behavior

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