Users roles identification on online crowdsourced Q&amp;A platforms and encyclopedias: a survey

Saxena, Akrati; Reddy, Harita

doi:10.1007/s42001-021-00125-9

Cited by 10 publications

(3 citation statements)

References 81 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Saxena et al. [175] presented a user's social roles and their distribution on online question‐answering platforms. They discovered that the relationship between different user roles, such as questioner, answerer, and viewer, and diverse user characteristics, such as gender, age, and country, is still unknown.…”

Section: User‐related Studies On Cqasmentioning

confidence: 99%

Analysis of community question‐answering issues via machine learning and deep learning: State‐of‐the‐art review

Roy

Singh

Banerjee

et al. 2022

CAAI Trans on Intel Tech

View full text Add to dashboard Cite

Over the last couple of decades, community question-answering sites (CQAs) have been a topic of much academic interest. Scholars have often leveraged traditional machine learning (ML) and deep learning (DL) to explore the ever-growing volume of content that CQAs engender. To clarify the current state of the CQA literature that has used ML and DL, this paper reports a systematic literature review. The goal is to summarise and synthesise the major themes of CQA research related to (i) questions, (ii) answers and (iii) users. The final review included 133 articles. Dominant research themes include question quality, answer quality, and expert identification. In terms of dataset, some of the most widely studied platforms include Yahoo! Answers, Stack Exchange and Stack Overflow. The scope of most articles was confined to just one platform with few cross-platform investigations. Articles with ML outnumber those with DL. Nonetheless, the use of DL in CQA research is on an upward trajectory. A number of research directions are proposed.

show abstract

Section: User‐related Studies On Cqasmentioning

confidence: 99%

Analysis of community question‐answering issues via machine learning and deep learning: State‐of‐the‐art review

Roy

Singh

Banerjee

et al. 2022

CAAI Trans on Intel Tech

View full text Add to dashboard Cite

show abstract

“…The success of StackOverflow led to the emergence of similar communities on various topics and formed the StackExchange (SE) network. * The advancement of Information and communication technologies (ICTs) have enabled faster and easier creation and sharing of knowledge, but also the access to a large amount of data that allowed a detailed study of their emergence and evolution (3), as well as user roles (4), and patterns of their activity (5)(6)(7). However, relatively little attention has been paid to the sustainability of SE communities.…”

Section: Introductionmentioning

confidence: 99%

Sustainability of Stack Exchange Q\&A communities: the role of trust

Vranić¹,

Tomašević²,

Alorić³

et al. 2022

Preprint

View full text Add to dashboard Cite

Knowledge-sharing communities are a fundamental element of any knowledge-based society. Understanding how they emerge, function, and disappear is thus of crucial importance. Many social and economic factors influence sustainable knowledge-sharing communities. Here we explore the role of the structure of social interactions and social trust in the emergence of these communities. Using tools from complex network theory, we analyze the early evolution of social structure in four pairs of StackExchange communities, each corresponding to one active and one closed community on the same topic. We adapt the dynamical reputation model to quantify the evolution of social trust in these communities. Our analysis shows that active communities have higher local cohesiveness and develop stable and more strongly connected cores. The average reputation is higher in sustainable communities. In these communities, the trust between core members develops early and remains high over time. Our results imply that efforts to create a stable and trustworthy core may be crucial for building a sustainable knowledge-sharing community.

show abstract

“…Онлайн-деятельность всех пользователей «Ответов» 2 и «Википедии» регламентирована громоздким кодексом правил онлайн-поведения, при этом среди википедистов и «отвечающих»/«ответчиков» (как они сами себя неформально идентифицируют) может быть выделено узловое «ядро» наиболее продуктивных участников 3 : считается, что именно они обеспечивают достаточно высокое качество знаний. Анализ структуры просветителей в онлайнсообществах подобного рода подтверждает существование ядра, или «костяка», экспертов (Saxena, Reddy, 2022).…”

Section: Introductionunclassified

Value-orientation Differentiation of Volunteers Educating of the Internet Encyclopedia “Wikipedia” and the Project “Otvety.” Part 1

Bryzgalin

Voiskounsky

Kozlovskiy

2022

RUDN J. Psychol. Pedagog.

View full text Add to dashboard Cite

The development of the Internet contributes to the activity of education volunteers who disseminate a variety of information on the Web. This study is limited to virtual volunteers who share useful knowledge in cyberspace. Although the issues of volunteering are covered quite widely in psychological science, the volitional mechanisms that encourage online educational activities have been poorly studied. The leading role in the deployment of such prosocial behavior is played by a specific value-orientation system. The purpose of this research is to identify and describe the systems of values and value orientations of online educators, namely representatives of the expert core of the online encyclopedia “Wikipedia” (N = 96) and the question-answer (QA) online project “Otvety” (N = 47). The study is based on the value-specific (SVS, PVQ) methodology developed by Sh. Schwartz and adapted by V.N. Karandashev; the participants belong to the abovementioned expert core groups of online education volunteers. The results reveal their relatively homogeneous set of values, which is developing into an altruistic meta-orientation towards autonomously given and situationally different dissemination of knowledge aimed at providing information (as a public utility) and regulated by self-transcendence and openness to changes. Intersubjective (in terms of normative ideals and individual priorities) and intergroup (in terms of communities) value-related comparison of the study participants - Wikipedia authors and QA “Otvety” service experts - optionally show that the Wikipedians are more inclined to avoid saturated social relationships (being socially inert), however, are much more hedonistic about life than the QA-experts. At the same time, both groups are brought together as close as possible by the radical condemnation of any factors that interfere with social harmony and limit the freedom to manifest oneself as a person. Based on the obtained results, it can be concluded that further understanding of the personal and group characteristics of education volunteers can expand the scope of education; therefore, in subsequent studies, it is proposed to use successive psychodiagnostic methods that measure value specificity in a psychosocial context.

show abstract