Facebook Social Connectedness Scale

Grieve, Rachel; Indian, Michaelle; Witteveen, Kate; Tolan, Georgina Anne; Marrington, Jessica

doi:10.1037/t25445-000

Cited by 3 publications

(4 citation statements)

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“…Using CHARLS 2018 data, the empirical test found a significant positive impact of WeChat use on the health of older adults through an instrumental variables model. This finding is consistent with the findings of existing studies on samples of adolescents (Grieve et al, 2013;Gilmour et al, 2020). The impact of social engagement on the health of older adults gives this study a starting point for further research (Ang, 2018).…”

Section: Discussionsupporting

confidence: 91%

“…Social media can increase social support, strengthen an individual's association with the real world and allow people to fully express themselves and obtain social support (Ballantine et al, 2015;Procentese et al, 2019). According to a study by Grieve et al (2013), the higher the level of social connection through Facebook is, the lower the levels of depression and anxiety and the higher subjective wellbeing (life satisfaction) is Seo et al (2016) investigated the possible impact of Facebook-based social support on loneliness and found that more social interactions with Facebook friends and faster responses to posts from these friends increase Facebook users' perceived social support and ultimately reduce loneliness. Self-expression on social media has a positive effect on easing loneliness, enhancing the perceived social support of social media users and thus improving an individual's wellbeing (Lee et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Effects of WeChat use on the subjective health of older adults

2022

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ObjectivesIn this study, the effect of WeChat use on the subjective health of older adults was examined.MethodsUsing 2018 China Health and Retirement Longitudinal Study (CHARLS) survey data, we attempted to rule out potential endogeneity bias by employing instrumental variable regression to estimate the effects of WeChat use on the health of older individuals. Mobile phone price was chosen as the instrumental variable, and the health of older adults was measured from two aspects: self-rated health and the Center for Epidemiological Studies of Depression Scale (CES-D10).ResultsWeChat use has a significant positive impact on the subjective health of older adults and can significantly improve their self-rated health and mental health status. WeChat use has significant positive effects on the subjective health of both older men and women, but relatively younger older adults obtain more health benefits from WeChat use.ConclusionThe virtual social participation prompted by WeChat use affects the health of older adults. This finding provides a reference for promoting the active integration of older adults into digital life.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Effects of WeChat use on the subjective health of older adults

2022

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“…It is inferred that this is because having communication at the palm of one's hand allows people to feel constantly connected to others (Deters and Mehl, 2013). It has been proposed that social media meets certain social needs, but not all (Grieve et al, 2013). Differences in the ability to address social needs may be due to discrepancies in the neural processes that support social communication in remote and face-to-face contexts.…”

Section: Opioid Addiction Social Connectednessmentioning

confidence: 99%

Social cognitive neuroscience in the digital age

Doheny

Lighthall

2023

Front. Hum. Neurosci.

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Human interactions are increasingly taking place from a distance through methods of remote interpersonal communication like video chatting and social media. While remote interpersonal communication has existed for millennia—with the first postal system arising in ∼2400 B.C.—accelerated advances in technology and the recent global COVID-19 pandemic have led to a dramatic increase in remote interpersonal communication use in daily life. Remote interpersonal communication presents a challenge to the field of social-cognitive neuroscience, as researchers seek to understand the implications of various types of remote interpersonal communication for the “social brain.” The present paper reviews our current understanding of the social-cognitive neural network and summarizes critical differences between the neural correlates of social cognition in remote vs. face-to-face interactions. In particular, empirical and theoretical work is reviewed that highlight disparities in the neural mechanisms of social perception, evaluation of social stimuli, human motivation, evaluation of social reward, and theory of mind. Potential impacts of remote interpersonal communication on the development of the brain’s social-cognitive network are also discussed. Finally, this review closes with future directions for research on social-cognitive neuroscience in our digital technology-connected world and outlines a neural model for social cognition in the context of remote interpersonal communication. For the field of social-cognitive neuroscience to advance alongside of the ever-evolving society, it is crucial for researchers to acknowledge the implications and concepts suggested for future research in this review.

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“…Looking at the field more broadly, the freedom to post whatever someone judges useful has been described as nothing less than a shift in the communication paradigm (Baeza-Yates and Ribeiro-Neto, 1999), or in other words, the freedom to publish marks the birth of a new era altogether (Baeza-Yates and Ribeiro-Neto, 2010). There is ample evidence of positive effects of SM that goes beyond just-in-time connectivity with a network of friends and like-minded people, including, but not limited to, improved relationship maintenance (Ellison et al, 2014), increased intimacy (Jiang et al, 2011), reduced loneliness (Khosravi et al, 2016;Ryan et al, 2017), and reduced depression (Grieve et al, 2013). It has become a highly accessible and increasingly popular means of sharing content and immediately re-sharing others' content.…”

Section: Introductionmentioning

confidence: 99%

Challenging social media threats using collective well-being-aware recommendation algorithms and an educational virtual companion

Ognibene¹,

Taibi²,

Kruschwitz³

et al. 2023

Front. Artif. Intell.

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Social media have become an integral part of our lives, expanding our interlinking capabilities to new levels. There is plenty to be said about their positive effects. On the other hand, however, some serious negative implications of social media have been repeatedly highlighted in recent years, pointing at various threats to society and its more vulnerable members, such as teenagers, in particular, ranging from much-discussed problems such as digital addiction and polarization to manipulative influences of algorithms and further to more teenager-specific issues (e.g., body stereotyping). The impact of social media—both at an individual and societal level—is characterized by the complex interplay between the users' interactions and the intelligent components of the platform. Thus, users' understanding of social media mechanisms plays a determinant role. We thus propose a theoretical framework based on an adaptive “Social Media Virtual Companion” for educating and supporting an entire community, teenage students, to interact in social media environments in order to achieve desirable conditions, defined in terms of a community-specific and participatory designed measure of Collective Well-Being (CWB). This Companion combines automatic processing with expert intervention and guidance. The virtual Companion will be powered by a Recommender System (CWB-RS) that will optimize a CWB metric instead of engagement or platform profit, which currently largely drives recommender systems thereby disregarding any societal collateral effect. CWB-RS will optimize CWB both in the short term by balancing the level of social media threats the users are exposed to, and in the long term by adopting an Intelligent Tutor System role and enabling adaptive and personalized sequencing of playful learning activities. We put an emphasis on experts and educators in the educationally managed social media community of the Companion. They play five key roles: (a) use the Companion in classroom-based educational activities; (b) guide the definition of the CWB; (c) provide a hierarchical structure of learning strategies, objectives and activities that will support and contain the adaptive sequencing algorithms of the CWB-RS based on hierarchical reinforcement learning; (d) act as moderators of direct conflicts between the members of the community; and, finally, (e) monitor and address ethical and educational issues that are beyond the intelligent agent's competence and control. This framework offers a possible approach to understanding how to design social media systems and embedded educational interventions that favor a more healthy and positive society. Preliminary results on the performance of the Companion's components and studies of the educational and psychological underlying principles are presented.

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Facebook Social Connectedness Scale

Cited by 3 publications

References 0 publications

Effects of WeChat use on the subjective health of older adults

Effects of WeChat use on the subjective health of older adults

Social cognitive neuroscience in the digital age

Challenging social media threats using collective well-being-aware recommendation algorithms and an educational virtual companion

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