Jung Sun Oh

Best-answer selection criteria in a social Q&A site from the user-oriented relevance perspective

As an attempt to better understand how people seek, share, and evaluate information in a social Q&A environment, this study identifies the selection criteria people employ when they select best answers in Yahoo! Answers in the context of relevance research. Using content analysis, we analyzed the comments people left upon the selection of best answers to their own questions. From 1,200 samples of comments, only 465 mentioned the specific reasons for their selection, thus becoming eligible for analysis. Through an iterative process of evaluating the types of comments, the best-answer selection criteria were inductively derived and grouped into seven value categories: Content value, Cognitive value, Socio-emotional value, Information source value, Extrinsic value, Utility, and General statement. While many of the identified criteria overlap with those found in previous relevance studies, the Socio-emotional value was particularly prominent in this study, especially when people ask for opinions and suggestions. These findings reflect the characteristics of a social Q&A site and extend our understanding of the relevance of an electronic environment where people bring their every day problem-solving and decision-making tasks.

The use of information sources by internet users in answering questions

The purpose of this study was to investigate what kinds of sources people prefer to use when they answer questions online, especially, in the context of social Q&A. Social Q&A is a Web-based service, that allows people to ask questions and receive answers from their fellow users. In social Q&A, people often cite sources of information when they answer questions. It could be a name, a short description, or hyperlinks to the original sources. Yahoo! Answers was chosen for this study due to its popularity as a top ranked social Q&A service as well as its capability for separately indicating sources for the answers in its format. We collected data with a crawler that used Yahoo! Answers APIs. A total number of 5,391 sources were identified and analyzed with the following three approaches: (1) source distribution by online accessibility, (2) source distribution by genre, and (3) source distribution by subjects. At the early stage of this study, it was expected that the results of source preferences heavily relied on sources online, since people ask and answer questions on the Web-based service. Nevertheless, it was found that human (56.4%) was the most frequently cited type of source, and it was followed by online (40%) and offline sources (4%). According to the source distribution by genre, human (56.4%) was followed by the Internet (38.1%), books (3.6%), and mass media (1.6%), and the sub-categories of these sources were analyzed. Additionally, the patterns of source distribution were shown differently across subjects. The categories of Health, Home & Electronics, and Society & Culture relied heavily on human sources, while Computers & the Internet included most of the Internet-based sources of information.

Eating disorder questions in Yahoo! Answers: Information, conversation, or reflection?

This study investigated a particular form of social Q&A – Yahoo! Answers – and the nature of the questions posed by teens on the topic of eating disorders. The goals of this study were to identify the information needs of questioners in Yahoo! Answers vis a vis the topic of eating disorders, to create a taxonomy of question types in Yahoo! Answers on the topic of eating disorders, and finally, to contribute to broader models of question-asking in social Q&A. We achieved these goals through a content analysis of 2230 questions posed in Yahoo! Answers between December 2005 and April 2011. This resulted in a classification scheme with five overarching themes - Seeking Information, Seeking Emotional Support, Seeking Communication, Seeking Self-Expression, and Seeking Help to Complete a Task, and the sub-categories of factual, diagnosis, treatment or intervention, validation, seeking comfort, conversation starters, deep talk, confession, reflection, homework help, and manuscript ideas. Through the investigation of the socio-emotional aspects of social Q&A, this study enriches our understanding of the affective dimension of health information behavior.

Groups in Academic Social Networking Services--An Exploration of Their Potential as a Platform for Multi-disciplinary Collaboration

The importance of collaborations across geographical, institutional and/or disciplinary boundaries has been widely recognized in research communities, yet there exist a range of obstacles to such collaborations. This study is concerned with understanding the potential of academic social networking services (ASNS) as a medium or platform for cross-disciplinary or multi-disciplinary collaborations. Many ASNS sites allow scholars to form online groups as well as to build up their professional network individually. In this study, we look at the patterns of user participation in online groups in a ASNS site, Mendeley, with an emphasis on assessing the degree to which people from different disciplinary backgrounds gather in these groups. The results show that while there exists a need for better means to facilitate group formation and growth, the groups in Mendeley exhibit a great deal of diversity in their member composition in terms of disciplines. Overall, the findings of this study support the argument that online social networking, especially ASNS, may foster multi-disciplinary collaborations by providing a platform for researchers from diverse backgrounds to find one another and cooperate on issues of common interests.

Linking information and people in a social system for academic conferences

ABSTRACT This paper investigates the feasibility of maintaining a social information system to support attendees at an academic conference. The main challenge of this work was to create an infrastructure where users’ social activities, such as bookmarking, tagging, and social linking could be used to enhance user navigation and maximize the users’ ability to locate two important types of information in conference settings: presentations to attend and attendees to meet. We developed Conference Navigator 3, a social conference support system that integrates a conference schedule planner with a social linking service. We examined its potential and functions in the context of a medium-scale academic conference. In this paper, we present the design of the system’s socially enabled features and report the results of a conference-based study. Our study demonstrates the feasibility of social information systems for supporting academic conferences. Despite the low number of potential users and the short timeframe in which conferences took place, the usage of the system was high enough to provide sufficient data for social mechanisms. The study shows that most critical social features were highly appreciated and used, and provides direction for further research.

I know what you are going through: answers to informational questions about eating disorders in Yahoo! Answers: a qualitative study

The purpose of this study is to enrich our understanding of social question and answer (Q&A) sites as a health information source for teens. To do so we investigated answers to 81 informational questions about eating disorders posted in Yahoo! Answers, a social Q&A site. Through a content analysis, we found that users do not always respond to eating disorder questions with credible, factual information, even if the need for it was expressed in the question. The findings suggest that people who pose questions in Yahoo! Answers use it as a social and emotional scaffold rather than an informational source, even if their questions are couched in terms that suggest they are seeking information. Further, a large portion of the people who answer such questions understand this to be the purpose and rarely provide answers drawn from evidence-based medicine or reliable, credible sources for health information. Through the investigation of the answers to questions on a health topic that is prevalent amongst teens, this study deepens our understanding of the health information behavior of young people and the quality of the health information they find in Yahoo! Answers.

Linguistic characteristics of eating disorder questions on Yahoo! Answers - content, style, and emotion

Social Q&A provides the possibility of looking into how people verbally express their information needs in natural language. In this study, we analyzed linguistic properties of different types of questions on the topic of eating disorders in Yahoo! Answers. Using term frequency analysis, Part-of-Speech (POS) analysis, and sentiment analysis, we examined linguistic content, linguistic style, and emotional expressions in two broad categories of eating disorder questions from Yahoo! Answers -- socio-emotional questions and informational questions. Overall, the results of this study show that the language used in these two categories of questions are substantially different, suggesting the different nature of the needs that underlie these questions. Socio-emotional questions take similar characteristics to personal narratives, focusing on past experiences and emotions. The heavy use of negative emotion words in this question type, along with other distinct linguistic characteristics, suggests that a key motivation of users asking this type of question is to work through their emotions related to the given health issue (eating disorders). On the other hand, informational questions show traits of relatively complex, precise, and objective writing, and reflect much varied interests with regard to the topic of eating disorders. All in all, this study demonstrates that the combination of simple text analytic techniques reveals much about the linguistic characteristics associated with different kinds of questions, and thereby shed lights on the nature of the needs underneath the questions.

Collaboration in Action: Enabling Innovative Scholarship with Social and Crowdsourcing Services

With an exponentially growing set of e-services and social networks that allow people to be not only consumers, but also producers of information, information seeking and sharing behaviors are rapidly changing. Innovations in areas such as information exchange and knowledge management are coming from scholarship in data sciences, and the “wisdom of the crowd” has become more than a passing trend. The focus of this event would be to discuss the latest developments in the field of social media and crowdsourcing specific to information seeking, knowledge management, and innovative methods for collaborative question-answering. Specifically, the event will facilitate discussions about and engage the audience in topics such as social search, community-based question-answering, and hybrid models for information seeking. These discussions will be guided by the organizers who come from a variety of backgrounds, institutions, and research areas.

Opportunities, threats, & theoretical approaches: Research in traditional and social virtual reference quality

Todays digital reference service environment faces many opportunities as well as a number of threats. This panel presents three different approaches, methods of data collection, and approaches to analyze and examine quality issues in virtual reference (VR) as well as other reference platforms. One threat has to do with sustainability of VR quality in this time of budgetary constraints. Radford and Connaway will present “Thriving on Theory: A New Model for Synchronous Reference Encounters” describing a new research-based model that delineates quality criteria from user and provider perspectives. This model can be applied to virtual as well as traditional reference interactions. Pomerantz, Shah, Oh, and Ohs paper: “The Same, Yet Different: Comparing Studies of ‘Traditional’ Digital Reference and Social Q&A” compares traditional vs. social question and answering services. Social question and answer (Q&A) services have opened up pluralistic approaches that go beyond professional VR, but also pose threats to quality and professional turf. Gazen examines one of these social Q&A services, Answerbag, in his paper: “When Wrong is Right: Intentionally Bad Answers in a Social Q&A Community” which discusses his analysis of instances in which wrong answers are intentionally offered.