Expression and Reception: An Analytic Method for Assessing Message Production and Consumption in CMC

Namkoong, Kang; Shah, Dhavan V.; McLaughlin, Bryan; Chih, Ming‐Yuan; Moon, Tae Joon; Hull, Susan; Gustafson, David H.

doi:10.1080/19312458.2017.1313396

Cited by 5 publications

(4 citation statements)

References 56 publications

(93 reference statements)

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“…Central users with more connections in the network are often seen as more powerful and resourceful. In online health communities, people in central positions would actively engage in information exchange with other network users, and their messages are more likely to be followed and read by others (Namkoong et al, 2017). From an interpersonal perspective, central members in a network were more likely to gain social support (Fink et al, 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

Fear and Hope, Bitter and Sweet: Emotion Sharing of Cancer Community on Twitter

Wang

Wei

2020

Social Media + Society

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Emotions are non-negligible parts of the experience among the cancer-affected population to be reckoned with. With the increasing usage of social media platforms as venues for emotional disclosure, we ask the question, what and how are the emotions of the cancer community being shared there? Using a deep learning model and social network analysis, we investigated emotions expressed in a large collection of cancer-related tweets. The results showed that joy was the most commonly shared emotion, followed by sadness and fear, with anger, hope, and bittersweet being less shared. In addition, both the gatekeepers and influencers were more likely to post content with positive emotions, while gatekeepers refrained themselves from posting negative emotions to a greater extent. Last, cancer-related tweets with joy, sadness, and hope received more likes, whereas tweets with joy and anger were more retweeted. The implications of the findings are discussed in the context of social media health communities.

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Section: Literature Reviewmentioning

confidence: 99%

Fear and Hope, Bitter and Sweet: Emotion Sharing of Cancer Community on Twitter

Wang

Wei

2020

Social Media + Society

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“…In addition, a content analysis will be conducted on peer comments to determine how supportive (ie, positive valence) versus unsupportive (ie, negative valence) peer connections are on social media and the types of support provided, emotional support (eg, expressions of empathy and love), instrumental support (eg, aid and service), informational support (eg, advice and suggestions), and appraisal (eg, information for self-evaluation). The content and network interaction data can be combined to examine the sentiment and support provision, which can even allow for distinctions between message expression and reception [ 60 , 61 ].…”

Section: Methodsmentioning

confidence: 99%

Effect of Technology and Digital Media Use on Adolescent Health and Development: Protocol for a Multimethod Longitudinal Study

Cascio¹,

Selkie²,

Moreno³

2023

JMIR Res Protoc

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Background Technology and digital media (TDM) use is integral to modern adolescence; adolescents have been labeled as “digital natives,” since they have had exposure to digital technology for their entire lives. Previous evidence has illustrated TDM’s connections with adolescent risk behaviors such as increased alcohol use and social media exposure, as well as relationships with adolescent well-being such as improved socioemotional health and social media connections with peers. Although several recent review articles have described both the benefits and risks of technology use, most individual studies adopt a singular risk-centered approach. In addition, reviews suggest that little evidence exists on the potential mediating and moderating factors between TDM use and well-being and health outcomes, which limits our understanding of what influences the outcomes of interest. Therefore, there is an urgent need to fill these gaps. Objective This protocol addresses the need to understand how TDM exposure and use affect multiple developmental domains and health outcomes. We address the fragmented nature of previous research, the common focus on single behaviors or conditions, and the typical narrow lens on risks. Our approach further aligns with reviews that called for studies identifying and investigating the factors that moderate the relationships between social media and health behaviors and outcomes. Methods We will address our objective by longitudinally examining over a 2-year period a common set of adolescent participants (N=400, aged 13-15 years) across 3 studies that adopt a multimethodological approach. Study 1 will use TDM to understand the mechanisms behind adolescent health and risk behaviors. Study 2 will use functional magnetic resonance imaging to understand how positive and negative TDM experiences relate to mental and behavioral health in a subsample of 150 adolescents. Study 3 will use a mixed methods design to evaluate self- and other-generated TDM content as the predictors of socioemotional well-being in sexual and gender minority and non–sexual and gender minority adolescents. Results Recruitment is ongoing, and the initial results from the first wave of recruitment are expected in 2024. Conclusions This integrated approach to longitudinal data collection from a shared adolescent participant pool will lead to novel analyses and findings, allowing for the examination of the health and well-being risks and benefits associated with TDM use and factors that moderate these relationships. The findings from this study will advance conceptual models and inform new interventions to improve adolescent health. International Registered Report Identifier (IRRID) DERR1-10.2196/50984

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“…The interplay between message reception and expression is critical for SUD recovery because basic social interactions like “lurking before posting” (i.e. reading posts for a period of time before gaining the confidence to post) support ongoing message production and bonding (Namkoong et al, 2017; Yoo et al, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Other formats of network communication include online peer support forums (e.g. Hwang et al, 2021; Namkoong et al, 2017), in which posting messages to all connected users is different in cognitive and social demands than one-to-one messaging. Though network reception and expression may build and sustain social connections, one-to-one dyadic interaction reflects a more intimate mediated-interaction with a higher demand for reciprocity.…”

Section: Literature Reviewmentioning

confidence: 99%

mHealth and social mediation: Mobile support among stigmatized people living with HIV and substance use disorder

Yang

Shah²,

Tahk³

et al. 2023

New Media & Society

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The social mediation role of mobile technology is typified by mHealth apps designed to connect individuals to others and support substance use disorder (SUD) recovery. In this study, we examined the use and utility of one such app designed to support people living with HIV (PLWH) and SUD. Drawing on Ling’s emphasis on reciprocity and micro-coordination in mobile telephony as a social mediation technology, we gathered digital trace data from app logs to construct two metrics, initiation (i.e. whether a particular feature is engaged on a given day) and intensity (i.e. degree of involvement in the activity when engaged on that day), at three levels of communication—networked (one-to-many), dyadic (one-to-one), and intraindividual (self-to-self). We consider these system features alongside use of information resources, games and relaxation links, a meeting and events calendar, and support tools to address use urges. We found few differences in patterns of use by race, sex, and age, though African Americans were less likely to engage in intraindividual expression, whereas women and older users were more likely to make use of this feature. The initiation and intensity of network and dyadic reception, as well as the intensity of network expression, predicts recovery outcomes as measured on a weekly “check-in” survey, suggesting the utility of mobile log data for digital phenotyping in mHealth. By implementing this app during the COVID-19 pandemic, the study also found the disruption caused by national lockdown was negatively related to the app use.

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Expression and Reception: An Analytic Method for Assessing Message Production and Consumption in CMC

Cited by 5 publications

References 56 publications

Fear and Hope, Bitter and Sweet: Emotion Sharing of Cancer Community on Twitter

Fear and Hope, Bitter and Sweet: Emotion Sharing of Cancer Community on Twitter

Effect of Technology and Digital Media Use on Adolescent Health and Development: Protocol for a Multimethod Longitudinal Study

mHealth and social mediation: Mobile support among stigmatized people living with HIV and substance use disorder

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