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Community question answering (CQA) platforms play a significant role in knowledge dissemination and information retrieval. Expert recommendation can assist users by helping them find valuable answers efficiently. Existing works mainly use content and user behavioural features for expert recommendation, and fail to effectively leverage the correlation across multi-dimensional features.

To address the above issue, this work proposes a multi-dimensional feature fusion-based method for expert recommendation, aiming to integrate features of question–answerer pairs from three dimensions, including network features, content features and user behaviour features. Specifically, network features are extracted by first learning user and tag representations using network representation learning methods and then calculating questioner–answerer similarities and answerer–tag similarities. Secondly, content features are extracted from textual contents of questions and answerer generated contents using text representation models. Thirdly, user behaviour features are extracted from user actions observed in CQA platforms, such as following and likes. Finally, given a question–answerer pair, the three dimensional features are fused and used to predict the probability of the candidate expert answering the given question.

The proposed method is evaluated on a data set collected from a publicly available CQA platform. Results show that the proposed method is effective compared with baseline methods. Ablation study shows that network features is the most important dimensional features among all three dimensional features.

This work identifies three dimensional features for expert recommendation in CQA platforms and conducts a comprehensive investigation into the importance of features for the performance of expert recommendation. The results suggest that network features are the most important features among three-dimensional features, which indicates that the performance of expert recommendation in CQA platforms is likely to get improved by further mining network features using advanced techniques, such as graph neural networks. One broader implication is that it is always important to include multi-dimensional features for expert recommendation and conduct systematic investigation to identify the most important features for finding directions for improvement.

This work proposes three-dimensional features given that existing works mostly focus on one or two-dimensional features and demonstrate the effectiveness of the newly proposed features.

The study attempts to investigate the role of social media in spreading awareness regarding ayurvedic immunity boosters (AIB) and changes in diet. Further, the study examines the factors affecting the willingness to pay for ayurvedic immunity boosters (WPIB) during the pandemic and new normal situation with the moderating effect of the “fear of COVID-19 infection.”

The data were collected from millennials in two phases, i.e. the first phase (1 July–August 2021) with 300 respondents and a second phase with (June–August 2022) 257 respondents. An online questionnaire was shared with millennials using the snowball sampling technique. Descriptive statistics with SPSS and SmartPLS 4.0 software were applied to analyze the data.

The results found a variation in AIB content sharing on social media during 2021 and 2022. Results found that respondents reported significant changes in their lifestyle and diet, like consuming honey, khada, tulsi tea, etc. In 2021, health consciousness and trust significantly affected WPIB, whereas in 2022, only health consciousness was substantially affected. Fear of COVID-19 infection moderates the relationship between health consciousness, perceived fear and willingness to pay for ayurvedic products, whereas the effect on consumer preference and trust remains insignificant.

Results could help ayurvedic product manufacturing companies understand the consumers' mindset and the factors that stimulate consumers to buy these immunity boosters. Ayurvedic advertisers should design unambiguous messages that focus on health consciousness and have trustable components to encourage consumers to adopt a healthy lifestyle.

This is one of its kinds of studies that presents the contrasts of how the COVID-19 crisis has significantly changed individuals' dietary intake and affected lifestyle patterns.

This study examines how users' multidimensional representational fidelity factors affect sociability and cyberself engagement in the Metaverse platform; that is, how they interact with newly defined self-images as their personas in the environments. It investigates how representational fidelity serves platform users to perform social roles and increase their sociability by establishing a new cyberself, thus influencing continuous platform use.

This study surveyed 314 users of the Metaverse platform Horizon, where users can create a virtual agent avatar, meet people in the same online environment in real time, and interact with a sense of three-dimensional immersion. Data were analyzed using partial least squares regression models.

User socialization significantly influenced the intention to use the Metaverse platform. Representational fidelity was a crucial variable for sociability, and activity representational fidelity was the most influential aspect among the four other elements. Platforms should consider how to enable users to create and use activities that faithfully represent their personas.

The novelty of this study is that it introduces representational fidelity based on representation theory into the context of virtual persona in the Metaverse platform. This study extended representational fidelity to the socialization perspective by utilizing the integrated model of user satisfaction and the technology acceptance model. Through the results, this study emphasized that users' sociability significantly influences their intention to use the Metaverse platform. Finally, this study provides a feasible guideline on how practitioners could design and strengthen their platforms so that users can represent their cyberselves faithfully.

This paper aims to explore how recently designed and built urban public spaces in Estonia address the concept of age-friendly environments and consider older adults as users of these spaces. This paper presents the evaluation of public spaces built as a result of urban design competitions in ten small towns of Estonia from 2014 until today.

This study explored and assessed how contemporary urban outdoor places meet the needs of older adults. For this purpose, this study developed an assessment instrument of age-friendly environment principles based on various sources and conducted fieldworks.

This study assumed that the needs of older adults were considered during the design competition and construction, as all towns of competition areas have a significant aging population. The findings suggest that various fundamental principles of universal or age-friendly design are not met, and there are areas of improvement in the inclusive design for all people that supports healthy aging.

This study can be used as improvement tool for current places in Estonia and basis for future design projects to make public places more age-friendly, specifically senior-friendly.

The purpose of this paper is to explore the impact of media representation on the mental health of Australians of African descent during the COVID-19 pandemic. By analysing the media coverage of COVID-19 restriction breaches, particularly focusing on individuals from African backgrounds, the study aims to shed light on how racially charged narratives can contribute to emotional distress and exacerbate feelings of alienation within these communities. The findings highlight the detrimental effects of such portrayals, emphasising the need for more responsible and inclusive media reporting to safeguard the mental well-being of culturally and linguistically diverse populations.

The study employed media content analysis to explore representations of Australians of African origin versus the broader Anglo–Australian population during the COVID-19 pandemic, focusing on racial identity’s impact on news coverage of COVID-19 restriction breaches. Researchers classified and distilled extensive textual content, using a diverse sample from various ethnic-racial backgrounds, with an emphasis on African Australians within the CALD community. Data analysis was conducted using NVivo (version 12) software, following an inductive approach.

The findings underscore the consistent portrayal of people from African communities as outsiders and the racial profiling they experience in media coverage of significant issues like COVID-19.

There is very limited research that examines the impact of media coverage on African migrants during the COVID-19 pandemic.

This study aims to explore the relationships between recognition, inclusion, and well-being at work. Inclusion involves integrating individuals within a group while recognizing their unique skills and need for belonging. Recognition and inclusion are sources of well-being at work.

We used a qualitative methodology based on a structural approach to investigate the social representations of 1,611 employees of a public organization located in the Centre-Val de Loire region of France.

Our results suggest that recognition is a central mechanism of inclusion, primarily manifested through satisfaction of the individual’s need to belong. We conclude with a proposed heuristic schema of the connections between the constructs studied.

This paper proposes a new perspective to the work of Shore et al. (2018) by addressing the knowledge gap in the literature concerning the role of recognition in determining an inclusive climate and optimizing well-being at work. This is done using qualitative methodology, drawing on the Dazibao framework of data collection.

Bringing a new perspective to the work of Shore et al. (2018) by helping to fill the knowledge gap relating to the place of recognition in determining an inclusive climate and well-being at work. It does so through a qualitative methodology based on the Dazibao framework of data collection.

As Ratnam makes clear, a cultural–historical perspective on teacher/faculty excessive entitlement is indispensable if we are to use this concept to work with, rather than undermine, education practitioners. In this chapter, a networked relational model of activity is proposed as a tool for understanding excessive entitlement from a cultural–historical activity theory (CHAT) perspective, so that the transformative potential of both entitlement and the modeling of it may be harnessed. The networked relational model, which represents CHAT activity systems as a hand-draw or painted network of relationships between actors and artifacts, allows its creators, in their capacity as researchers or academics, to use it as an imaginative artifact in the Wartofskian sense. That is, by representing activity systems of academic performance as networks of interacting entities, the emergence of excessive entitlement can be traced to, and perhaps mitigated through the relationships that they represent. In this regard, the why, what, and how artifacts proposed by Engeström are taken up as useful means for enhancing the functioning of the networked relational model not just as a tool for analyses of entitlement but also a means for envisioning alternative countercultures into being.

In this study, students’ perceptions of the effective practices of their research mentors were examined. The research mentors implemented the practices informed by the Center for the Improvement of Mentored Experiences in Research (CIMER) mentorship competencies to mentor underrepresented students in engineering education research in a virtual environment.

This research experience for undergraduates (REU) program, situated in the United States of America, consisted of undergraduate students (i.e. mentees), graduate students and faculty mentors who all had at least one underrepresented identity in engineering (i.e. Black, Latiné/x, and/or women). Using qualitative methods, we used data from reflection surveys and follow-up interviews with REU mentees to understand the outcomes of the mentorship strategies employed by the mentors in the program. The data were analyzed thematically using CIMER model constructs and social capital theory as guiding frameworks.

The results indicated the identified strategies students perceived as the most impactful for mentorship throughout the program. Students in the REU gained knowledge on how to activate social capital in mentorship relationships and how to better mentor others.

The findings provide insight on how to operationalize the CIMER mentorship competencies to skillfully mentor underrepresented students in engineering. Given the size of the REU and the nature of qualitative research, the sample size was limited.

The results help inform mentorship practices for underrepresented individuals in engineering education and the workforce. Further, they add to the practical knowledge of implementing CIMER best practices virtually, at a time when the world has transitioned to more hybrid and virtual working and learning environments.

This study identifies impactful strategies for operationalizing mentorship strategies informed by theory- and evidence-based CIMER mentorship competencies. In addition, this study extends knowledge about how to implement mentoring best practices and engage mentorship in a virtual environment.

This paper aims to evaluate the influence of relative social standing, society’s level of restrictions and consumption adequacy on life satisfaction as well as to examine the moderating effect that an environment of social deprivations can cause in this relationship.

The analysis uses data from 23,152 individuals distributed in 272 regions of 18 developing countries collected from the World Values Survey (WVS). Given the hierarchical structure nature of the data in a cross-country setting, the paper utilizes a multilevel linear mixed-effects model with cross-level interaction.

The results show that social deprivation, perception of inadequate consumption and lower social standing negatively affect life satisfaction. Likewise, social comparison and consumption adequacy are moderated by the level of social deprivation, showing that the effect of these variables on life satisfaction is more pronounced for individuals living in regions with a higher level of deprivation than for those living in more affluent societies.

This study enhances the comprehension of well-being within contexts characterized by elevated levels of social deprivation. Furthermore, it provides evidence that objective and subjective deprivations are not independent and antithetical concepts but act mutually in reducing individual well-being.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2023-0623