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This chapter reports on findings from a critical autoethnography (Anderson, 2006) about the strategies and experiences of male microcelebrities from Australia. The author Jonathan Mavroudis, himself identifies as a microcelebrity with a following of over 27,000 on Instagram at the time of writing. This position granted him insider access to this specific cohort and the microcelebrity world in general. The study comprised participant interviews, analyses of the author’s own experiences, and a survey of over 500 of his Instagram followers. The author draws from these data sources to introduce the concept of “fame labor.” Fame labor reconfigures the way visibility labors such as self-branding labor is understood. It offers a macro perspective that relates to nonmicrocelebrities as well as microcelebrities and illuminates potential wider implications of microcelebrity culture.

Although the early conversations of microcelebrity centered on Anglo-centric theories and context despite the varied backgrounds and cultural context of microcelebrity, this compilation of chapters seeks to assess and reframe the applications and uptake of microcelebrity around the world. Each of the chapters in this anthology contribute to expand the theoretical concept and contextualize the history and cultural affairs of those who are famous online. The case studies provide examples of how a microcelebrity emerges to fame because of their exposure and interaction within a group of niche users, a specific online community, or a specific cultural and geographical context through the social networks that emerge online. Academic scholarship on microcelebrity has crossed methodologies, disciplines and platforms demonstrating the wide appeal as the influence of these figures are on the rise. As preparation for the reader, this chapter offers a brief history of current scholarship, with an emphasis on shifting knowledge production away from an Anglo and Global North perspective. The introduction chapter serves as a road map for the reader breaking down each of the three sections of the book – norms, labors, and activism. Lastly, the co-editors have outlined different ways to read the text group chapters according to reader interest.

This paper aims to obtain the domain of the textual content generated by users of online social network (OSN) platforms. Understanding a users’ domain (s) of interest is a significant step towards addressing their domain-based trustworthiness through an accurate understanding of their content in their OSNs.

This study uses a Twitter mining approach for domain-based classification of users and their textual content. The proposed approach incorporates machine learning modules. The approach comprises two analysis phases: the time-aware semantic analysis of users’ historical content incorporating five commonly used machine learning classifiers. This framework classifies users into two main categories: politics-related and non-politics-related categories. In the second stage, the likelihood predictions obtained in the first phase will be used to predict the domain of future users’ tweets.

Experiments have been conducted to validate the mechanism proposed in the study framework, further supported by the excellent performance of the harnessed evaluation metrics. The experiments conducted verify the applicability of the framework to an effective domain-based classification for Twitter users and their content, as evident in the outstanding results of several performance evaluation metrics.

This study is limited to an on/off domain classification for content of OSNs. Hence, we have selected a politics domain because of Twitter’s popularity as an opulent source of political deliberations. Such data abundance facilitates data aggregation and improves the results of the data analysis. Furthermore, the currently implemented machine learning approaches assume that uncertainty and incompleteness do not affect the accuracy of the Twitter classification. In fact, data uncertainty and incompleteness may exist. In the future, the authors will formulate the data uncertainty and incompleteness into fuzzy numbers which can be used to address imprecise, uncertain and vague data.

This study proposes a practical framework comprising significant implications for a variety of business-related applications, such as the voice of customer/voice of market, recommendation systems, the discovery of domain-based influencers and opinion mining through tracking and simulation. In particular, the factual grasp of the domains of interest extracted at the user level or post level enhances the customer-to-business engagement. This contributes to an accurate analysis of customer reviews and opinions to improve brand loyalty, customer service, etc.

This paper fills a gap in the existing literature by presenting a consolidated framework for Twitter mining that aims to uncover the deficiency of the current state-of-the-art approaches to topic distillation and domain discovery. The overall approach is promising in the fortification of Twitter mining towards a better understanding of users’ domains of interest.

With the wide usage of digital technologies, employees’ digital creativity serves as a stepping stone in driving the process of organizational digital innovation. However, scant attention has been devoted to understanding the relationship between leadership and employees’ digital creativity within the digital technology usage context. Drawing upon social cognitive theory, our study aims to explore the relationship between transformational leadership and employees’ digital creativity through the mediating roles of creative self-efficacy and ambidextrous learning.

A field survey was conducted in China, garnering survey data from 223 employees actively engaged with digital technologies in their daily work. We empirically test the structural equation model to verify the hypotheses.

The results reveal a positive association between transformational leadership and employees’ digital creativity, with a consequential cascade mediation facilitated through creative self-efficacy and exploitation and exploration.

The empirical research not only enriches comprehension of individual-level digital creativity but also provides valuable practical insights for managers seeking to effectively drive digital innovation within their organizations.

Within the growing study of transnational entrepreneurial practice, existing conceptualisation of diaspora entrepreneurship has often lacked engagement with the particularities of the diaspora condition. This paper seeks to advance theoretical understanding and empirical study of diaspora entrepreneurship through identifying the processes that generate diaspora entrepreneurship across economic, social and political spheres.

To analyse the relationship between the development of venture activity and diaspora (re)production, in depth, qualitative biographical analysis was undertaken with UK-based diaspora entrepreneurs embedded within the particular contexts of the Sri Lankan Tamil and Kurdish diasporas. Skilled and active diaspora entrepreneurs were purposively selected from these extreme case contexts to explore their entrepreneurial agency within and across the business, social and political realms.

Results identified key dimensions shaping the development of diaspora entrepreneurship. These comprised the role of diaspora context in shaping opportunity frameworks and the mobilisation of available resources, and how venture activity served to sustain collective diaspora identity and address diaspora interests. These findings are used to produce an analytical model of the generation of diaspora entrepreneurship to serve as a basis for discussing how heterogeneous and hybrid entrepreneurial strategies emerge from and shape the evolving diaspora context.

By placing the reproduction of social collectivity centre-stage, this paper identifies the particularities of diaspora entrepreneurship as a form of transnational entrepreneurship. This recognizes the significance of a contextualised understanding of entrepreneurial diversity within wider processes of diaspora development, which has important implications for policy and practice development in homeland and settlement areas.