Dataset Information

A 'Control Model' of Social Media Engagement in Adolescence: A Grounded Theory Analysis.

ABSTRACT: Adolescents actively use social media, which engages them cognitively, emotionally, and behaviorally. However, the underlying psychological mechanisms of engagement have not been adequately addressed. The present study examined adolescents' psychological processes as these develop in their everyday interactions via social media. The sample comprised six focus groups with 42 adolescents from UK-based schools. Data were analyzed using constructivist grounded theory. The resulting concepts related to individual, social, and structurally related processes, highlighting a synergy between the processes underlying use and a gradual reduction of control as individual, social, and structurally led processes emerge, conceptualized as the 'control model' of social media engagement. The findings highlight a controlling aspect in engagement and a dynamic interplay between the processes as mutually determining the quality and the intensity of the interaction. Recommendations are provided for examining control as a main emotional, cognitive, and behavioral mechanism in problematic and/or addictive social media and smartphone use.

SUBMITTER: Throuvala MA

PROVIDER: S-EPMC6926519 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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A 'Control Model' of Social Media Engagement in Adolescence: A Grounded Theory Analysis.

Throuvala Melina A MA Griffiths Mark D MD Rennoldson Mike M Kuss Daria J DJ

International journal of environmental research and public health 20191125 23

Adolescents actively use social media, which engages them cognitively, emotionally, and behaviorally. However, the underlying psychological mechanisms of engagement have not been adequately addressed. The present study examined adolescents' psychological processes as these develop in their everyday interactions via social media. The sample comprised six focus groups with 42 adolescents from UK-based schools. Data were analyzed using constructivist grounded theory. The resulting concepts related ...[more]

PMID: 31775387

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Project description:Background: Social media is ubiquitous as a tool for collaboration, networking, and dissemination. However, little is known about use of social media platforms by pulmonary and critical care medicine fellowship programs.Objective: We identify and characterize pulmonary and critical care fellowship programs using Twitter and Instagram, as well as the posting behaviors of their social media accounts.Methods: We identified all adult and pediatric pulmonary, critical care medicine (CCM), and combined pulmonary and critical care medicine (PCCM) programs in the United States using the Electronic Residency Application Service. We searched for Twitter profiles for each program between January 1, 2018, and September 30, 2018. Tweets and Twitter interactions were classified into the following three types: social, clinical, or medical education (MedEd) related. We collected data about content enhancements of tweets, including the use of pictures, graphics interchange format or videos, hashtags, links, and tagging other accounts. The types of tweets, content enhancement characteristics, and measures of engagement were analyzed for association with number of followers.Results: We assessed 341 programs, including 163 PCCM, 36 adult CCM, 20 adult pulmonary, 67 pediatric CCM, and 55 pediatric pulmonary programs. Thirty-three (10%) programs had Twitter accounts. Of 1,903 tweets by 33 of the 341 programs with Twitter accounts, 476 (25%) were MedEd related, 733 (39%) were clinical, and 694 (36%) were social. The median rate of tweets per month was 1.65 (interquartile range [IQR], 0.4-6.65), with 55% programs tweeting more than monthly. Accounts tweeting more often had significantly more followers than those tweeting less frequently (median, 240 followers; 25-75% IQR, 164-388 vs. median, 107 followers; 25-75% IQR, 13-188; P = 0.006). Higher engagement with clinical and social Twitter interactions (tweets, retweets, likes, and comments) was associated with more followers but not for the MedEd-related Twitter interactions. All types of content enhancements (pictures, graphics interchange format/videos, links, and tagging) were associated with a higher number of followers, except for hashtags.Conclusion: Despite the steadily increasing use of social media in medicine, only 10% of the pulmonary and critical care fellowship programs in the United States have Twitter accounts. Social and clinical content appears to gain traction online; however, additional evaluation is needed on how to effectively engage audiences with MedEd content.

Project description:BackgroundPublic health organizations have begun to use social media to increase awareness of health harm and positively improve health behavior. Little is known about effective strategies to disseminate health education messages digitally and ultimately achieve optimal audience engagement.ObjectiveThis study aims to assess the difference in audience engagement with identical antismoking health messages on three social media sites (Twitter, Facebook, and Instagram) and with a referring link to a tobacco prevention website cited in these messages. We hypothesized that health messages might not receive the same user engagement on these media, although these messages were identical and distributed at the same time.MethodsWe measured the effect of health promotion messages on the risk of smoking among users of three social media sites (Twitter, Facebook, and Instagram) and disseminated 1275 health messages between April 19 and July 12, 2017 (85 days). The identical messages were distributed at the same time and as organic (unpaid) and advertised (paid) messages, each including a link to an educational website with more information about the topic. Outcome measures included message engagement (ie, the click-through rate [CTR] of the social media messages) and educational website engagement (ie, the CTR on the educational website [wCTR]). To analyze the data and model relationships, we used mixed effects negative binomial regression, z-statistic, and the Hosmer-Lemeshow goodness-of-fit test.ResultsComparisons between social media sites showed that CTRs for identical antitobacco health messages differed significantly across social media (P<.001 for all). Instagram showed the statistically significant highest overall mean message engagement (CTR=0.0037; 95% CI 0.0032-0.0042), followed by Facebook (CTR=0.0026; 95% CI 0.0022-0.0030) and Twitter (CTR=0.0015; 95% CI 0.0013-0.0017). Facebook showed the highest as well as the lowest CTR for any individual message. However, the message CTR is not indicative of user engagement with the educational website content. Pairwise comparisons of the social media sites differed with respect to the wCTR (P<.001 for all). Messages on Twitter showed the lowest CTR, but they resulted in the highest level of website engagement (wCTR=0.6308; 95% CI 0.5640-0.6975), followed by Facebook (wCTR=0.2213; 95% CI 0.1932-0.2495) and Instagram (wCTR=0.0334; 95% CI 0.0230-0.0438). We found a statistically significant higher CTR for organic (unpaid) messages (CTR=0.0074; 95% CI 0.0047-0.0100) compared with paid advertisements (CTR=0.0022; 95% CI 0.0017-0.0027; P<.001 and P<.001, respectively).ConclusionsOur study provides evidence-based insights to guide the design of health promotion efforts on social media. Future studies should examine the platform-specific impact of psycholinguistic message variations on user engagement, include newer sites such as Snapchat and TikTok, and study the correlation between web-based behavior and real-world health behavior change. The need is urgent in light of increased health-related marketing and misinformation on social media.

Dataset Information

A 'Control Model' of Social Media Engagement in Adolescence: A Grounded Theory Analysis.

Publications

A 'Control Model' of Social Media Engagement in Adolescence: A Grounded Theory Analysis.

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