Supporting Answerers with Feedback in Social Q&A

Prior research has examined the use of Social Question and Answer (Q&A) websites for answer and help seeking. However, the potential for these websites to support domain learning has not yet been realized. Helping users write effective answers can be beneficial for subject area learning for both answerers and the recipients of answers. In this study, we examine the utility of crowdsourced, criteria-based feedback for answerers on a student-centered Q&A website, Brainly.com. In an experiment with 55 users, we compared perceptions of the current rating system against two feedback designs with explicit criteria (Appropriate, Understandable, and Generalizable). Contrary to our hypotheses, answerers disagreed with and rejected the criteria-based feedback. Although the criteria aligned with answerers' goals, and crowdsourced ratings were found to be objectively accurate, the norms and expectations for answers on Brainly conflicted with our design. We conclude with implications for the design of feedback in social Q&A.Comment: Published in Proceedings of the Fifth Annual ACM Conference on Learning at Scale, Article No. 10, London, United Kingdom. June 26 - 28, 201

Research on Social Q&A Community Knowledge Transfer Model Based on Follow Relationship Network

Social Q&A community is the focus of knowledge sharing and knowledge acquisition in the Internet era. The study of user group and community structure of social Q&A community is helpful to discover its model of knowledge transfer and the characteristics of the user group. Based on the study of relevant literature and social Q&A community characteristics, we build social relationships network model and use the method of social network analysis to study user groups. Finally, we find the user characteristics and behavior pattern. Furthermore, we analyze the knowledge transfer model of social Q&A community

NON-OBSERVANCE OF MAXIMS IN ASK.FM SOCIAL Q&A WEBSITE

This paper entitled “Non-Observance of Maxims in Ask.fm Social Q&A Website” investigates the types of maxims and non-observance of maxims which are broken on purpose by Ask.fm users. It also examines some possible reasons for breaking the maxims. By employing Grice’s (1975) cooperative principle, this qualitative study examines one hundred interactions of Ask.fm users. The findings reveal that maxim of quantity, relation and manner are types of maxims which are not obeyed by the users. In addition, the types of non-observance of maxims identified in this study are flouting and opting out. Finally, reasons for breaking maxims are due to the intention to create jokes, to please others and to avoid cyberbullying. Overall, the findings suggest that by performing non-observance intentionally, it does not necessarily lead to communication breakdown. In fact, it made the conversation in Ask.fm more interesting, relax, and lively. Keywords: Grice’s Cooperative Principle, Non-observance of maxims, social media, website, Ask.fm Penelitian yang berjudul “Pelanggaran Maksim di Situs Tanya-jawab Ask.fm” mengkaji beberapa tipe maksim dan tipe pelanggaran maksim yang sengaja dilanggar oleh pengguna Ask.fm. Penelitian ini juga membahas beberapa penyebab yang mempengaruhi para pengguna Ask.fm untuk melanggar maksim tersebut. Dengan mengacu kepada teori prinsip kooperatif Grice (1975), penelitian kualitatif ini meneliti seratus interaksi dari pengguna Ask.fm. Hasil dari penelitian ini menunjukan bahwa para pengguna melanggar tiga tipe maksim, yaitu maksim quantity, relation, dan manner. Pelanggaran maksim yang dilakukan oleh pengguna situs dalam studi ini masuk ke dalam kategori flouting dan opting out. Sebagai tambahan, penyebab mengapa para pengguna Ask.fm melakukan pelanggaran maksim adalah untuk menyampaikan lelucon, menghibur orang lain, dan menghindari cyberbullying. Secara keseluruhan, hasil penelitian ini menemukan bahwa dengan mempraktekkan kasus pelanggaran maksim secara sengaja, para pengguna Ask.fm menunjukkan keberhasilan dalam berkomunikasi. Faktanya, pelanggaran maksim di situs Ask.fm dapat membuat komunikasi berjalan menarik, santai, dan lancar. Keywords: Prinsip Kooperatif Grice, pelanggaran maksim, media sosial, situs, Ask.f

The influence of users' Dark Triad on knowledge contribution behaviour on social Q&A sites

The users' knowledge contribution behavior is the driving force for the sustainable development of the social Q&A sites. This kind of user behavior is affected by various factors, among which users' personality traits are the prominent ones. The dark triad is a theory on the dark side of personality. This article explores the influence and mechanism of users' dark triad on their knowledge contribution in social Q&A sites. A questionnaire survey was conducted on 301 users with experience in social Q&A sites. The survey data were then analyzed by hierarchical regression and Bootstrap analysis. The dark triad significantly affects knowledge contribution on social Q & A sites. Online self-disclosure plays a completely mediating role in the relationship between the dark triad and knowledge contribution. The relational psychological contract has a moderating role between online self-disclosure and knowledge contribution. This study argues that the dark triad has a positive effect on knowledge contribution behavior in socialized Q&A communities by constructing a model of mediated effects that are moderated. The dark triad shows its altruistic side in the context of social Q&A sites. The role of the dark triad in different knowledge-intensive contexts should be viewed dialectically in future research. Based on these findings, we put forward some suggestions for encouraging users' knowledge contribution behavior in the social media context.Peer Reviewe

Study of Influencing Factors on Users’ Knowledge Contribution Behaviors in Social Q & A Communities

Social Q&A communities are important platforms for knowledge sharing among online users nowadays. Therefore, it is of theoretical and practical significance to understand the motivations behind users’ knowledge contribution behaviors in social Q&A communities. Drawing on a dataset from Stack Overflow, one of the largest Q&A sites worldwide, this paper aims to explore the factors that may influence users’ knowledge contribution behaviors. In particular, we examined factors related to three aspects: social interactivity, social capital and questions readability. Based on related theories we proposed several hypothesis and then tested these hypothesis using an econometric model. Our research results established the relationship between user’s knowledge contribution behaviors and factors related to social interactivity, social capital and questions readability. This paper contributes to literature related to studies on Social Q&A communities

“Ask Everyone?” Understanding How Social Q&A Feedback Quality Influences Consumers\u27 Purchase Intentions

Social question & answer (Q&A) feedback is a novel form of electronic word-of-mouth that allows customers to ask questions and share opinions with peer customers. Based on the stimulus-organism-response framework, this paper proposes a model to describe how social Q&A feedback quality affects consumers\u27 willingness to purchase by influencing their perceived risk, perceived usefulness, and use intention. We focused on the social Q&A feature named Ask Everyone in Taobao and collected 153 valid responses through an online survey. Canonical correlation analysis was used to identify the association between feedback characteristics and feedback quality. Then, PLS-SEM was conducted to test the proposed research model. Results show that feedback quality negatively associated with perceived risk, but had a positive impact on perceived usefulness, use intention, and purchase intention. Findings of this research has both theoretical and practical implications for facilitating social Q&A design in e-commerce platforms

The Impact of User Heterogeneity on Knowledge Collaboration Performance

Existing research showed that the social Q & A community is centred on user participation and can improve knowledge collaboration performance by means of heterogeneous knowledge, but it did not reveal the process and mechanism. This paper takes the user behaviours of the Zhihu which is the largest social Q & A community in China as the research object. From an interactive perspective, it builds a research model of the relationship between user heterogeneity and knowledge collaboration performance by establishing measurement indicators for relationship analysis according to the user behaviours data of Zhihu. The results show that there is an inverted Ushaped relationship between user heterogeneity and knowledge collaboration performance, and the interpersonal interaction of users plays a mediating role in the relationship between user heterogeneity and knowledge collaboration performance, while the mediating effect of machine interaction is not significant. This paper, based on this, puts forward some suggestions for better development of social Q & A community

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 á 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