Developing a typology of online Q&amp;A models and recommending the right model for each question type

Choi, Erik; Kitzie, Vanessa; Shah, Chirag

doi:10.1002/meet.14504901302

Cited by 37 publications

(36 citation statements)

References 13 publications

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“…One is the creation of a question routing tool that could identify question type, and then using a typology similar to one from the study by Choi et al [8], find a cQA service that predominately addresses questions of this type. By forwarding a question of a specific type to a service with community members and/or experts that predominately address this question type, the chance of the question receiving a good answer will likely increase.…”

Section: Findings and Implicationsmentioning

confidence: 99%

“…Answers as belonging to the following high-level categories of questions seeking: (1) Factual Information, (2) Advice, (3) Opinion, (4) Chatting, (5) Entertainment, and (6) Other. Finally, a recent study by Choi et al [8] focused on the distributions of frequencies for each type of question among four different types of cQA sites using the following typology: (1) Information seeking questions, (2) Advice-seeking questions, (3) Opinion-seeking questions, and (4) Non-information, or social, seeking questions. The typology for question type used in this study is influenced by these prior works and includes the following types: (1) Fact, (2) Advice, (3) Opinion, and (4) Social.…”

Section: Question Types In Cqamentioning

confidence: 99%

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Questioning the Question -- Addressing the Answerability of Questions in Community Question-Answering

Shah

Kitzie

Choi

2014

2014 47th Hawaii International Conference on System Sciences

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In this paper, we investigate question quality among questions posted in Yahoo! Answers to assess what factors contribute to the goodness of a question and determine if we can flag poor quality questions. Using human assessments of whether a question is good or bad and extracted textual features from the questions, we built an SVM classifier that performed with relatively good classification accuracy for both good and bad questions. We then enhanced the performance of this classifier by using additional human assessments of question type as well as additional question features to first separate questions by type and then classify them. This twostep classifier improved the performance of the original classifier in identifying Type II errors and suggests that our model presents a novel approach for identifying bad questions with implications for query revision and routing.

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Section: Findings and Implicationsmentioning

confidence: 99%

Section: Question Types In Cqamentioning

confidence: 99%

Questioning the Question -- Addressing the Answerability of Questions in Community Question-Answering

Shah

Kitzie

Choi

2014

2014 47th Hawaii International Conference on System Sciences

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“…More empirical and theoretical studies are needed to investigate ways to design an “optimally social-engineered communication space” [42], according to its intended purpose and the anticipated interaction mode. Choi and colleagues have recently proposed a typology for online Question-Answering (QA) forums with four categories: community-based, collaborative, expert-based QAs, and social [37]. When designing social components of a PCHMS, researchers should consider the following important questions:…”

Section: Discussionmentioning

confidence: 99%

“…Posts on the forums were coded to analyze for topic of discussion and participants’ response type, informed by literature on interaction patterns found in online social network and question-and-answering websites [36,37]. The coding scheme was pre-determined, where a random selection of 20% of forum posts were used to develop the coding scheme iteratively until consensus was reached on coding rules and the definition of each category before coding commenced.…”

Section: Methodsmentioning

confidence: 99%

Social and Self-Reflective Use of a Web-Based Personally Controlled Health Management System

Lau¹,

Dunn²,

Mortimer³

et al. 2013

J Med Internet Res

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BackgroundPersonally controlled health management systems (PCHMSs) contain a bundle of features to help patients and consumers manage their health. However, it is unclear how consumers actually use a PCHMS in their everyday settings.ObjectiveTo conduct an empirical analysis of how consumers used the social (forum and poll) and self-reflective (diary and personal health record [PHR]) features of a Web-based PCHMS designed to support their physical and emotional well-being.MethodsA single-group pre/post-test online prospective study was conducted to measure use of a Web-based PCHMS for physical and emotional well-being needs during a university academic semester. The PCHMS integrated an untethered PHR with social forums, polls, a diary, and online messaging links with a health service provider. Well-being journeys additionally provided information to encourage engagement with clinicians and health services. A total of 1985 students and staff aged 18 and above with access to the Internet were recruited online, of which 709 were eligible for analysis. Participants’ self-reported well-being, health status, health service utilization, and help-seeking behaviors were compared using chi-square, McNemar’s test, and Student’s t test. Social networks were constructed to examine the online forum communication patterns among consumers and clinicians.ResultsThe two PCHMS features that were used most frequently and considered most useful and engaging were the social features (ie, the poll and forum). More than 30% (213/709) of participants who sought well-being assistance during the study indicated that other people had influenced their decision to seek help (54.4%, 386/709 sought assistance for physical well-being; 31.7%, 225/709 for emotional well-being). Although the prevalence of using a self-reflective feature (diary or PHR) was not as high (diary: 8.6%, 61/709; PHR: 15.0%, 106/709), the proportion of participants who visited a health care professional during the study was more than 20% greater in the group that did use a self-reflective feature (diary: P=.03; PHR: P<.001).ConclusionsThere was variation in the degree to which consumers used social and self-reflective PCHMS features but both were significantly associated with increased help-seeking behaviors and health service utilization. A PCHMS should combine both self-reflective as well as socially driven components to most effectively influence consumers’ help-seeking behaviors.

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“…We know some reasons why someone might choose to ask a question on Facebook, for example, as opposed to seeking out a specific expert, such as personal context and trust [12]. Choi et al have proposed four models of Q&A sites: community, collaborative, expert-based, and social [4]. One might consider an online affinity space, in which people come together because of a shared interest or common activity (rather than simply Q&A) to be somewhere in between a social and community model.…”

Section: Introductionmentioning

confidence: 99%

"I Am Not a Lawyer"

Fiesler

Feuston

Bruckman

2014

Proceedings of the 18th International Conference on Supporting Group Work

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Once referred to by the Supreme Court as the "metaphysics" of law, many parts of copyright policy are historically confusing. Therefore, it isn't surprising that in communities where amateur content creators work within a legal gray area, copyright is a frequent topic of conversation. Here, people with often little knowledge of the letter of the law are asking and answering complex legal questions in the context of their creative activities. Working from a content analysis of public forum conversations in eight different online communities, we have examined these questions and answers more closely. By studying these interactions, what can we learn about how people engage with the law and how non-expert advice affects behavior and knowledge?

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Developing a typology of online Q&A models and recommending the right model for each question type

Cited by 37 publications

References 13 publications

Questioning the Question -- Addressing the Answerability of Questions in Community Question-Answering

Questioning the Question -- Addressing the Answerability of Questions in Community Question-Answering

Social and Self-Reflective Use of a Web-Based Personally Controlled Health Management System

"I Am Not a Lawyer"

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