scholarly journals #familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labor

2017 ◽  
Vol 3 (2) ◽  
pp. 205630511770719 ◽  
Author(s):  
Crystal Abidin

Following in the celebrity trajectory of mommy bloggers, global micro-microcelebrities, and reality TV families, family Influencers on social media are one genre of microcelebrity for whom the “anchor” content in which they demonstrate their creative talents, such as producing musical covers or comedy sketches, is a highly profitable endeavor. Yet, this commerce is sustained by an undercurrent of “filler” content wherein everyday routines of domestic life are shared with followers as a form of “calibrated amateurism.” Calibrated amateurism is a practice and aesthetic in which actors in an attention economy labor specifically over crafting contrived authenticity that portrays the raw aesthetic of an amateur, whether or not they really are amateurs by status or practice, by relying on the performance ecology of appropriate platforms, affordances, tools, cultural vernacular, and social capital. In this article, I consider the anatomy of calibrated amateurism, and how this practice relates to follower engagement and responses. While some follower responses have highlighted concerns over the children’s well-being, a vast majority overtly signal their love, support, and even envy toward such parenting. I draw on ethnographically informed content analysis of two group of family Influencers on social media to illustrate the enactment and value of calibrated amateurism in an increasingly saturated ecology and, investigate how such parents justify the digital labor in which their children partake to produce viable narratives of domestic life.

Author(s):  
Kathy McKay ◽  
Sarah Wayland ◽  
David Ferguson ◽  
Jane Petty ◽  
Eilis Kennedy

In the UK, tweets around COVID-19 and health care have primarily focused on the NHS. Recent research has identified that the psychological well-being of NHS staff has been adversely impacted as a result of the COVID-19 pandemic. The aim of this study was to investigate narratives relating to the NHS and COVID-19 during the first lockdown (26 March–4 July 2020). A total of 123,880 tweets were collated and downloaded bound to the time period of the first lockdown in order to analyse the real-time discourse around COVID-19 and the NHS. Content analysis was undertaken and tweets were coded to positive and negative sentiments. Five main themes were identified: (1) the dichotomies of ‘clap for carers’; (2) problems with PPE and testing; (3) peaks of anger; (4) issues around hero worship; and (5) hints of a normality. Further research exploring and documenting social media narratives around COVID-19 and the NHS, in this and subsequent lockdowns, should help in tailoring suitable support for staff in the future and acknowledging the profound impact that the pandemic has had.


2018 ◽  
Vol 29 (2) ◽  
pp. 237-247 ◽  
Author(s):  
Ashley A. Berard ◽  
André P. Smith

Fibromyalgia is a chronic illness with primary symptoms of widespread pain and fatigue. Social media applications have become a recent resource allowing individuals with fibromyalgia to interact in a virtual community devoted to the illness. This study explores how such a community develops and maintains itself on Instagram and the ways it creates social capital for its users. Data are derived from Instagram posts and open-ended questionnaires completed by users living with fibromyalgia who use the application. Using content analysis and semiotic methodology, the study analyzes the diverse ways in which users shared their experiences with fibromyalgia, the management of its symptoms, and issues encountered in accessing health care systems. Instagram aids in the development of a community by facilitating intimate and supportive interactions about the illness and the creation of personalized day-to-day narratives accessible to all. Norms of trust, acceptance, and reciprocity characterize the diversity of interactions in this community.


2020 ◽  
Vol 12 (5) ◽  
pp. 88
Author(s):  
Meng-Hsiang Hsu ◽  
Chun-Ming Chang ◽  
Shing-Ling Wu

Building upon the perspectives of social capital theory, social support, and experience, this study developed a theoretical model to investigate the determinants of subjective well-being on social media. This study also examined the moderating role of experience on the relationship between subjective well-being and social support. Data collected from 267 social media users in Taiwan were used to test the proposed model. Structural equation modeling analysis was used to test the measurement model and the structural model. The findings reveal that receiving online support and providing online support are the key predictors of subjective well-being. Furthermore, social capital positively influences the reception and provision of online support. Finally, providing online support has a significant effect on the subjective well-being of users with low levels of use experience, while receiving online support exerts a stronger influence on the subjective well-being of users with high levels of use experience.


Author(s):  
H. Andrew Schwartz ◽  
Lyle H. Ungar

Researchers have long measured people’s thoughts, feelings, and personalities using carefully designed survey questions, which are often given to a relatively small number of volunteers. The proliferation of social media, such as Twitter and Facebook, offers alternative measurement approaches: automatic content coding at unprecedented scales and the statistical power to do open-vocabulary exploratory analysis. We describe a range of automatic and partially automatic content analysis techniques and illustrate how their use on social media generates insights into subjective well-being, health, gender differences, and personality.


2019 ◽  
Vol 34 (3) ◽  
pp. 285-293 ◽  
Author(s):  
César Escobar-Viera ◽  
Ariel Shensa ◽  
Megan Hamm ◽  
Eleanna M. Melcher ◽  
Daniel I. Rzewnicki ◽  
...  

Purpose: Although there is evidence of associations between social media (SM) use and mental well-being among the general population, these associations among lesbian, gay, and bisexual (LGB) persons are poorly understood. This study compared the influence of SM experiences on mental well-being between LGB and non-LGB persons. Design and Setting: Online cross-sectional survey. Participants: National sample of 2408 US adults aged 18 to 30 years. Method: We asked participants to provide examples of when SM affected their well-being separately in good and bad ways. We coded, summed, and used rate ratios (RRs) to compare responses of LGB and non-LGB individuals. Thematically similar codes were described and grouped into categories. Results: Most responses described positive SM effects. However, of 6 codes that were significantly more frequent among LGB respondents, only social capital (RR = 1.58, 95% confidence interval [CI], 1.17-2.12) described a positive effect. Five codes described negative effects of SM for LGB users: negative emotional contagion (RR = 1.28, 95% CI, 1.04-1.58), comparison with others (RR = 1.28, 95% CI, 1.01-1.62), real-life repercussions (RR = 1.86, 95% CI, 1.18-2.94), envy (RR = 2.49, 95% CI, 1.48-4.19), and need for profile management (RR = 2.32, 95% CI, 1.07-5.03). Conclusion: These findings suggest that, for LGB persons, gaining social capital from SM is valuable for establishing and maintaining connections. Increased negative SM experiences may pose a risk for the mental well-being of LGB individuals.


2020 ◽  
Vol 6 (2) ◽  
pp. 11-23
Author(s):  
Asma Zahoor

This paper aims at exploring how the use of humor in memes can serve as a relief therapy in the face of the grave situation of the post-COVID-19 world. The conceptual frameworkor this study is drawn from Sultanoff (1994) theory of humor. He believes in the relieving effect of humor on humans’ psyche. Content analysis was used as a research method to analyze twelve memes shared at WhatsApp, an electronic, social media app for swift human interaction. The study demonstrates that humor is essentially the creative spirit of life that carries on despite hardships. It enables humanity to laugh in order not to cry. The linguistic humor in memes created in the context of the Pandemic Covid-19 serves as a tool to release stress, provide relief and create a sense of well-being.


2019 ◽  
Vol 34 (4) ◽  
pp. 192-213 ◽  
Author(s):  
Nura Jabagi ◽  
Anne-Marie Croteau ◽  
Luc K. Audebrand ◽  
Josianne Marsan

Purpose High-quality employee motivation can contribute to an organization’s long-term success by supporting employees’ well-being and performance. Nevertheless, there is a paucity of research concerning how organizations motivate workers in non-traditional work contexts. In the algocratic context of the gig-economy, the purpose of this paper is to understand the role that technology can play in motivating workers. Design/methodology/approach Drawing on the self-determination theory, job-characteristic theory and enterprise social media research, this conceptual paper explores how the architecture of the digital labor platforms underlying the gig-economy (and the characteristics of jobs mediated through these IT artifacts) can impact key antecedents of self-motivation. Findings Combining theory and empirical evidence, this paper develops a mid-range theory demonstrating how organizations can support the self-motivation of gig-workers through the thoughtful design of their digital labor platforms and the integration of two social media tools (namely, social networking and social badging). Research limitations/implications This paper answers calls for psychologically-based research exploring the consequences of gig-work as well as research studying the impacts of advanced technologies in interaction with work contexts on motivation. In theorizing around a large set of social-contextual variables operating at different levels of analysis, this paper demonstrates that individual-level motivation can be influenced by both task-based and organizational-level factors, in addition to individual-level factors. Originality/value The proposed theory provides novel insight into how gig-organizations can leverage widely accessible social media technology to motivate platform workers in the absence of human supervision and support. Theoretical and practical implications are discussed.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S920-S920
Author(s):  
Minh Hao Nguyen ◽  
Amanda E Hunsaker ◽  
Eszter Hargittai

Abstract The increasing popularity of social media and other online communities offers new possibilities for older adults to stay socially connected. This study examines the relationship of older adults’ online social engagement and bonding as well as bridging social capital based on a survey of over 1,000 adults aged 60 and over. Social bonding refers to support obtained from existing strong social ties while social bridging is creating connections across varied social networks. We estimated three multi-stage regression models to examine these relationships when controlling for sociodemographic factors, as well as Internet experiences and skills. We then extended the regression models with Internet skills as a moderator. Findings show that older adults who engage more often in specific online social activities (i.e., asking questions on social media, looking at photos of family members/others) enjoy greater bridging social capital (both in offline and online contexts) than those who do so less often. Furthermore, Internet skills moderate the relationship between online social engagement and social capital. Specifically, older adults with greater Internet skills benefit relatively more from engaging in specific online social activities more often with respect to online social bridging. These results imply that digital inequalities may put older adults who are less skilled in using the Internet at a disadvantage when it comes to building social capital from online social engagement. Thus, while social media has potential positive implications for well-being among older adults, the current manifestation of this does not suggest equitable distribution of those benefits across different older users.


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