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1.
The purpose of the current study is to identify the user criteria and data-driven features, both textual and non-textual, for assessing the quality of answers posted on social questioning and answering sites (social Q&A) across four different knowledge domains—Science, Technology, Art and Recreation. A comprehensive review of literature on quality assessment of information produced in social contexts was carried out to develop the theoretical framework for the current study. A total of 23 user criteria and 24 data features were proposed and tested with high-quality answers obtained from four social Q&A sites in Stack Exchange. Findings indicate that content-related criteria and user and review features were the most frequently used in quality assessments, while the importance of user criteria and data features was variable across the knowledge domains. In the Technology Q&A site containing mostly self-help questions, the utility class was the most frequently used group of criteria. The popularity of the socio-emotional class was more apparent in discussion-oriented topic categories such as Art and Recreation, where people seek others’ opinions or advice. Users of Art and Recreation Q&A sites in Stack Exchange appear to place more value on answerers’ efforts and time, good attitudes or manners, personal experience, and the same taste. The importance of user features and the emphasis on answerer's expertise on the Science Q&A site was observed. Examining the connection or gap between user quality criteria and data features across the knowledge domains could help to better understand users’ evaluation behaviors for their preferred answers, and identify the potential of social Q&A for user education/intervention in answer quality evaluation. This examination also offers practical guidance for designing more effective social Q&A platforms, considering how to customize community support systems, motivate contributions, and control content quality.  相似文献   

2.
People are increasingly searching for information in social Q&A communities, especially through a new form of paid knowledge product, namely, live course. Such course provides a way for users to interact synchronously with content creators online. However, how this knowledge product is accepted and why users pay for it deserve attention from researchers. In this study, a research model was developed based on information foraging theory (IFT) and social information foraging (SIF) theory to analyze users’ information processing and evaluation when making payment decisions. Our research model was validated by collecting subjective and objective data from a Chinese social Q&A community that has been successful in offering live course services. We found that perceived quality of free content, perceived credibility of content creators, and perceived quantity of participants positively influence users’ willingness to pay, and thus, positively affects users’ payment behavior. Unexpectedly, social endorsement negatively moderates the relationship between willingness to pay and payment behavior. This study enhances the theoretical understanding of the drivers of users’ payment for live courses in social Q&A communities. For IS practice, our findings provide unique insights for community managers and content creators on how to operate paid knowledge products appropriately and effectively.  相似文献   

3.
Most social Q&A sites are designed to support solo searchers who access the aggregated opinions of other users, and ask and answer questions of their own. The purpose of this paper is to show how users in one social Q&A community defy system constraints to engage in brief, informal episodes of collaborative information seeking called microcollaborations. A brief literature review is presented, suggesting a view of information seeking as a combination of problem-centered information seeking, technological affordances and constraints, and social and affective factors. The results of content and transaction log analyses of user interactions suggest that topics of collaboration share a common threshold of complexity and invite responses containing both fact and opinion. Analysis also revealed that key elements in predicting a collaborative instance involve social capital and affective factors unrelated to the topic of the collaboration. Suggestions for supporting future lightweight microcollaborations, and implications for future research, are discussed.  相似文献   

4.
The social question and answer (Q&A) community provides people with an effective tool to obtain high-quality information. From the perspective of reciprocal determinism and value co-creation, this study aims to investigate the formation mechanism of high-quality knowledge in the community. We develop a model to investigate how cognitive factors and community technological factors influence users’ knowledge co-creation behavior, thereby influencing knowledge quality in the community. A survey of 382 knowledge contributors in a social Q&A community shows that knowledge self-efficacy, topic richness, personalized recommendation, and social interactivity have a positive impact on users' knowledge sharing and integration behavior, which subsequently affect the community’s knowledge quality. Moreover, users' ratings moderate the influence of knowledge sharing on knowledge quality. This research demonstrates the synergistic effect of people and technology in knowledge co-creation, thus advances literature about value co-creation and content quality in online communities.  相似文献   

5.
This study examines the impacts of social influence, which are manifested by popularity and source credibility, on social endorsement in social Q&A community; and how the relationship is impacted by temporal-spatial factors. By collecting panel data from a large platform, the results of an econometric model demonstrate that popularity and source credibility are positively associated with social endorsement. With respect to the moderation effects, the results further show that time distance strengthens the effect of popularity on the social endorsement, but undermines the effect of source credibility; while crowdedness plays the role that strengthens the impact of popularity on the social endorsement, it has no significant moderating effect on the relationship between source credibility and social endorsement. Both theoretical and practical implications are discussed.  相似文献   

6.
[目的/意义]旨在探索虚拟社区用户集体意愿研究。[方法/过程]结合在线问答社区特点,采用结构方程模型,先后利用SPSS 23.0和AMOS 21.0进行数据分析并进行模型验证。[结果/结论]研究认为,虚拟社区感、社会资本均对在线问答社区用户集体意愿产生正向影响;在线互动、线下互动除了直接对在线问答社区用户集体意愿产生正向影响,还可以通过虚拟社区感、社会资本对在线问答社区用户集体意愿产生间接的正向影响。  相似文献   

7.
The purpose of this study is to explore the factors that prompt askers to switch from free to paid social question-and-answer (SQA) services. Prior studies have investigated users’ motivations and participation in free and paid SQA services; however, little attention has been paid to askers’ switching behavior. We empirically analyzed the content of qualitative interviews from 64 askers on a well-known SQA platform in China. Based on the push-pull-mooring framework, we identified and classified factors that influenced askers’ to switch from free to paid Q&A services, using the critical incident technique, after which we calculated the entropy weights of the 16 subcategories before and after the switch, using the entropy weight method. The findings suggest that askers’ switching behavior was influenced by push factors (i.e., dissatisfaction with the free SQA service), pull factors (i.e., satisfaction with the paid SQA service), and mooring factors (i.e., social factors, personal factors, situational factors). Moreover, the findings show that the effects of these factors vary significantly before and after a switch. Dissatisfaction with the quality of information from the free SQA service would influence users before a switch, whereas satisfaction with the quality of information from the paid SQA service would influence them after a switch. In terms of mooring factors, the effects of social and personal factors on askers’ switching behavior, especially subjective norms and cognitive lock-in, turn out to be less significant after a switch, whereas the effect of trust is more significant. Besides, the effects of situational factors are more or less the same before and after a switch. To the best of our knowledge, this paper is one of the first attempts to explore factors that affect askers’ switching behavior and to shed light on the managerial strategies of paid SQA services.  相似文献   

8.
【目的/意义】社会化问答社区目前已成为网络环境下用户搜寻和获取知识的重要途径。探析用户知识采 纳行为有助于提升社会化问答社区知识组织与服务能力,对社区的运营管理方面也具有重要的实践意义。【方法/ 过程】本文选取知乎作为研究对象,应用扎根理论方法,通过数据资料收集、三级编码等过程,结合认知心理学的相 关理论,构建了社会化问答社区用户知识采纳行为模型。【结果/结论】研究发现：自我认知、平台认知、社会认知三 个维度对用户知识采纳行为具有显著影响,并通过认知有用性、认知易用性两个中介变量和技术、情感因素两个调 节变量分别刺激用户知识采纳的意愿,从而影响知识采纳行为。【创新/局限】从认知视域基于扎根理论的方法探索 社会化问答社区知识采纳行为的影响因素模型,但采集的知乎的样本容量较小,概念模型的信度和效度并未经过 大样本检验。  相似文献   

9.
This study theorized and validated a model of knowledge sharing continuance in a special type of online community, the online question answering (Q&A) community, in which knowledge exchange is reflected mainly by asking and answering specific questions. We created a model that integrated knowledge sharing factors and knowledge self-efficacy into the expectation confirmation theory. The hypotheses derived from this model were empirically validated using an online survey conducted among users of a famous online Q&A community in China, “Yahoo! Answers China”. The results suggested that users’ intention to continue sharing knowledge (i.e., answering questions) was directly influenced by users’ ex-post feelings as consisting of two dimensions: satisfaction, and knowledge self-efficacy. Based on the obtained results, we also found that knowledge self-efficacy and confirmation mediated the relationship between benefits and satisfaction.  相似文献   

10.
This study examined: (1) whether a peripheral cue and subject knowledge influenced the credibility judgments in the context of Wikipedia; and (2) whether certain factors affected heuristic processing in the context of Wikipedia. The theory of bounded rationality and the heuristic-systematic model serve as the basis of this study. Data were collected employing a quasi-experiment and a web survey at a large public university in the Midwestern United States in the fall of 2011. The study participants consisted of undergraduate students from nine courses whose instructors agreed to their participation. A total of 142 students participated in the study, of which a total of 138 surveys were useable. The major findings of this study include the following: a peripheral cue and knowledge influenced the credibility judgments of college students concerning Wikipedia. The effect of a peripheral cue on credibility judgments was not different between those with high versus low knowledge. Finally, perceived credibility was positively related to heuristic processing, but knowledge, cognitive workload or involvement in a topic was not. This study suggests that educators and librarians need to integrate heuristic approaches into their literacy programs, guiding students to effectively use and not blindly accept cues. Wikipedia needs to offer noticeable cues that can help Wikipedia readers assess the credibility of information. The role of perceptions in heuristic processing needs further investigation. Further, this study demonstrates the strength of a peripheral cue on credibility judgments, suggesting that further research is needed when cues lead to effective credibility judgments and when cues lead to biased credibility judgments. Finally, this study provides the suggestion of an integrated model of the theory of bounded rationality and the heuristic-systematic model that can enhance our understanding of heuristics in relation to credibility judgments.  相似文献   

11.
Online healthcare communities (OHCs) have become producers of medical information. Solving the issue of how to effectively reuse such a large amount of medical data and discover its potential value is of the utmost importance for alleviating the shortage of medical resources. Online consultation has received widespread attention and population since its first appearance in 1999, and as a result, many diagnostic multi-turn questions and answers (Q&A) documents have become available. This type of document is formed by multiple rounds of patient questions and doctors’ diagnostic answers and contains massive medical knowledge and doctors’ diagnostic experience. Few studies concentrate on the modeling and recommendation of this type of document, yet making these documents convenient for reuse reduces the cost of medical consultation for patients and saves time addressing common diseases for doctors. In this paper, we focus on the modeling and understanding of diagnostic multi-turn Q&A records and propose a deep-learning recommendation framework based on patient medical information needs, the contents of Q&A records and doctor background information. With the evaluation based on a real dataset that contains pediatric consultation dialogues fetched from DingXiangYuan, a famous online consultation application in China, we found that the proposed model achieved a good performance on the recommendation of diagnostic multi-turn Q&A records and outperformed baseline models. In addition, we discussed a potential application scenario of the recommendation model, suggesting that the proposed model can promote the reduction of patient costs and doctors’ work pressure in countries or regions with insufficient medical resources.  相似文献   

12.
[目的/意义]在社会化问答社区,如何留住用户,促进用户的持续答题一直是人们关注的焦点。[方法/过程]根据社会交换理论,构建社区涉入、群体规范、效益导向快速关系、约束导向快速关系、问答满意度及持续答题意愿之间的影响关系模型,通过调查问卷收集数据,利用SPSS和AMOS进行统计分析和假设检验。[结果/结论]研究结果表明,效益导向快速关系和约束导向快速关系对问答满意度、持续答题意愿都有显著的正向影响,问答满意度在“快速关系→问答满意度→持续答题意愿”路径中起部分中介作用,社区涉入和群体规范能够促进效益导向与约束导向快速关系的建立。  相似文献   

13.
Using AI technology to automatically match Q&A pairs on online health platforms (OHP) can improve the efficiency of doctor-patient interaction. However, previous methods often neglected to fully exploit rich information contained in OHP, especially the medical expertise that could be leveraged through medical text modeling. Therefore, this paper proposes a model named MKGA-DM-NN, which first uses the named entities of the medical knowledge graph (KG) to identify the intention of the problem, and then uses graph embedding technology to learn the representation of entities and entity relationships in the KG. The proposed model also employs the relationship between entities in KG to optimize the hybrid attention mechanism. In addition, doctors' historical Q&A records on OHP are used to learn modeling doctors’ expertise to improve the accuracy of Q&A matching. This method is helpful to bridge the semantic gap of text and improve the accuracy and interpretability of medical Q&A matching. Through experiments on a real dataset from a Chinese well-known OHP, our model has been verified to be superior to the baseline models. The accuracy of our model is 4.4% higher than the best baseline model. The cost-sensitive error of our model is 13.53% lower than that of the best baseline model. The ablation experiment shows that the accuracy rate can be significantly improved by 8.72% by adding the doctor modeling module, and the cost-sensitive error can be significantly reduced by 17.27% by adding the medical KG module.  相似文献   

14.
Web sites often provide the first impression of an organization. For many organizations, web sites are crucial to ensure sales or to procure services within. When a person opens a web site, the first impression is probably made in a few seconds, and the user will either stay or move on to the next site on the basis of many factors. One of the factors that may influence users to stay or go is the page aesthetics. Another reason may involve a user’s judgment about the site’s credibility. This study explores the possible link between page aesthetics and a user’s judgment of the site’s credibility. Our findings indicate that when the same content is presented using different levels of aesthetic treatment, the content with a higher aesthetic treatment was judged as having higher credibility. We call this the amelioration effect of visual design and aesthetics on content credibility. Our study suggests that this effect is operational within the first few seconds in which a user views a web page. Given the same content, a higher aesthetic treatment will increase perceived credibility.  相似文献   

15.
【目的/意义】探讨网络问答社区中意见领袖的社会与知识分享行为特征,为问答社区的发展提供改进建 议。【方法/过程】以知乎“旅行”问答话题下活跃用户为研究对象,通过python爬取用户的个人信息,利用数理统计 和社会网络分析对意见领袖的社会及知识分享行为特征展开研究。【结果/结论】研究发现,社会特征是意见领袖开 展知识共享活动的先决条件,网络问答社区的发展离不开社区用户的多元化;意见领袖为问答社区内容生成主力, 知识分享行为广泛分布于意见领袖的信息活动中且其行为影响力突出;中心团体联合促进意见领袖间的知识分 享,领袖群体间知识分享互动频繁。【创新/局限】对于意见领袖的特征分析只建立在“旅行”这一问答话题,样本数 量偏低,后期将会对更多的问答话题进行研究,以期得出更精准的、普适性更强的结论。  相似文献   

16.
【目的/意义】探究产学研机构知识消费者在学术社交网络问答服务中的行为和需求特征,以提升用户学术 交流效力,为平台优化提供支撑依据。【方法/过程】本文以ResearchGate问答服务中的知识消费者作为研究对象,运 用方差分析、层次聚类、社会网络分析等方法比较分析产学研机构的用户行为,并从时间维度揭示行为特征演化和 需求变化趋势。【结果/结论】提问特征上,产学研机构知识消费者提问标题长度和添加标签数量及变化趋势有一定 相似性。信息需求上,三类机构知识消费者关注内容较分散,高校和科研院所有更多共同话题,但各自个性化需求 占比却更高,而企业的个性化需求占比较低。在2010-2019年间,除共同高频话题呈现稳定或微弱下降的趋势外, 企业高频话题多为下降趋势,高校和科研院所呈上升趋势的高频话题居多。【创新/局限】从机构视角对比研究知识 消费者行为,促进用户问答效用的提升及学术社交网络问答服务的优化;本文局限性在于只选择顶尖产学研机构 和ResearchGate进行研究。  相似文献   

17.
Wikipedia is known as a free online encyclopedia. Wikipedia uses largely transparent writing and editing processes, which aim at providing the user with quality information through a democratic collaborative system. However, one aspect of these processes is not transparent—the identity of contributors, editors, and administrators. We argue that this particular lack of transparency jeopardizes the validity of the information being produced by Wikipedia. We analyze the social and ethical consequences of this lack of transparency in Wikipedia for all users, but especially students; we assess the corporate social performance issues involved, and we propose courses of action to compensate for the potential problems. We show that Wikipedia has the appearance, but not the reality, of responsible, transparent information production. This paper’s authors are the same as those who authored Wood, D. J. and Queiroz, A. 2008. Information versus. knowledge: Transparency and social responsibility issues for Wikipedia. In Antonino Vaccaro, Hugo Horta, and Peter Madsen (Eds.), Transparency, Information, and Communication Technology (pp. 261–283). Charlottesville, VA: Philosophy Documentation Center. Adele has changed her surname from Queiroz to Santana  相似文献   

18.
Search engine optimization allows for users’ needs to be directly met by result snippets or a “knowledge map” without clicking any results. This behavior is called “good abandonment” and is found to frequently occur during mobile searching. Users exhibit such a behavior when they trust the result that addresses their information need without bothering to click it. Therefore, this study examines how users judge a result's credibility without clicking. This study proposes a model for assessing the credibility of good abandonment results, making a hypothesis about the measures that may affect credibility assessments in mobile searches. A credibility assessment experiment was conducted to collect users’ eye movements, perceived credibility and feedback on different credibility measures. Users’ search behaviors were recorded by a screen recorder, in order to see whether a search was good abandonment. Then the initially proposed model was validated in terms of users’ perceived credibility, search behaviors and feedback, and further improved. The revised model found that the credibility assessment of good abandonment results in mobile searching is determined by six credibility measures distributed across three aspects of content, operator and design. Content-related measures show that users tend to believe the results if there is detailed and updated context information and the content is neutral. Operator-related measures indicate the impact of trust in the search engine on the credibility assessment. Design-related measures indicate that users tend to trust results with interactive functions and optimal layouts. How each of the six measures influence users’ assessment of credibility is discussed in this paper.  相似文献   

19.
Journalists, emergency responders, and the general public use Twitter during disasters as an effective means to disseminate emergency information. However, there is a growing concern about the credibility of disaster tweets. This concern negatively influences Twitter users’ decisions about whether to retweet information, which can delay the dissemination of accurate—and sometimes essential—communications during a crisis. Although verifying information credibility is often a time-consuming task requiring considerable cognitive effort, researchers have yet to explore how people manage this task while using Twitter during disaster situations.To address this, we adopt the Heuristic-Systematic Model of information processing to understand how Twitter users make retweet decisions by categorizing tweet content as systematically processed information and a Twitter user’s profile as heuristically processed information. We then empirically examine tweet content and Twitter user profiles, as well as how they interact to verify the credibility of tweets collected during two disaster events: the 2011 Queensland floods, and the 2013 Colorado floods. Our empirical results suggest that using a Twitter profile as source-credibility information makes it easier for Twitter users to assess the credibility of disaster tweets. Our study also reveals that the Twitter user profile is a reliable source of credibility information and enhances our understanding of timely communication on Twitter during disasters.  相似文献   

20.
Social network sites (SNS) and micro-blogging sites are popular yet distinctive social media. Previous studies have focused on one type of social media and thus overlook how the distinctive features of SNS and micro-blogging sites may affect underlying motivational mechanisms. To address this research gap, we draw from the self-regulation framework and propose a research model to explain how different appraisal factors (i.e., self-image and peer influence) affect continuance use through emotional responses (i.e., a sense of belonging and satisfaction). Furthermore, we argue that the effects of these appraisal and emotional factors are different across types of social media. We tested our research model by survey data collected from SNS and micro-blogging sites. The results confirm our hypotheses: First, self-image is a more significant factor in increasing SNS users’ sense of belonging and satisfaction, while peer influence has a greater effect on micro-blogging sites users’ sense of belonging and satisfaction. Second, the sense of belonging explains the greater variance of continuance intention in SNS as compared with satisfaction. A few theoretical and practical implications are discussed related to our findings on different motivational mechanisms.  相似文献   

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