scholarly journals Social Media Use Predicts Greater Liking in In-Person Initial Interactions

2021 ◽  
pp. 014616722110409
Author(s):  
Jennifer L. Heyman ◽  
Lauren Gazzard Kerr ◽  
Lauren J. Human

Does how people generally engage with their online social networks relate to offline initial social interactions? Using a large-scale study of first impressions ( N = 806, Ndyad = 4,565), we examined how different indicators of social media use relate to the positivity of dyadic in-person first impressions, from the perspective of the participants and their interaction partners. Many forms of social media use (e.g., Instagram, Snapchat, passive) were associated with liking and being liked by others more, although some forms of use (e.g., Facebook, active) were not associated with liking others or being liked by others. Furthermore, most associations held controlling for extraversion and narcissism. Thus, while some social media use may be generally beneficial for offline social interactions, some may be unrelated, highlighting the idea that how, rather than how much, people use social media can play a role in their offline social interactions.

2021 ◽  
Author(s):  
Thabo J van Woudenberg ◽  
Roy Hendrikx ◽  
Moniek Buijzen ◽  
Julia CM van Weert ◽  
Bas van den Putte ◽  
...  

BACKGROUND Although emerging adults play a role in the spread of COVID-19, they are less likely to develop severe symptoms after infection. Emerging adults’ relatively high use of social media as source of information raises concerns regarding COVID-19 related behavioral compliance (i.e., physical distancing) in this age group. OBJECTIVE Therefore, the current study investigated physical distancing in emerging adults in comparison to older adults and looked at the role of using social media for COVID-19 news and information in this regard. In addition, this study explored the relation between physical distancing and different social media platforms and sources. METHODS Secondary data of a large-scale national longitudinal survey (N = 123,848, 34.% male) between April and November 2020 were used. Participants indicated, ranging for one to eight waves, how often they were successful in keeping 1.5 meters distance on a 7-point Likert scale. Participants between 18 and 24 years old were considered young adults and older participants were identified as older adults. Also, a dummy variable was created to indicate per wave whether participants used social media for COVID-19 news and information. A subset received follow-up questions asking participants to indicate which platforms they have used and what sources of news and information they had seen on social media. All preregistered hypotheses were tested with Linear Mixed-Effects Models and Random Intercept Cross-Lagged Panel Models. RESULTS Emerging adults reported less physical distancing behaviors than older adults (b = -.08, t(86213.83) = -26.79, p < .001). Also, emerging adults were more likely to use social media for COVID-19 news and information (b = 2.48, SE = .11, Wald = 23.66, p = <.001), which mediated the association with physical distancing, but only to a small extend (indirect effect: b = -0.03, 95% CI = [-0.04; -0.02]). Opposed to our hypothesis, the longitudinal Random Intercept Cross-Lagged Panel Model showed no evidence that physical distancing was predicted by social media use of the previous wave. However, we did find evidence that using social media affected subsequent physical distancing behavior. Moreover, additional analyses showed that most social media platforms (i.e., YouTube, Facebook and Instagram) and interpersonal communication showed negative associations with physical distancing while others platforms (i.e. LinkedIn and Twitter) and Governmental messages showed no to a slightly positive associations with physical distancing. CONCLUSIONS In conclusion, we should be vigilant for physical distancing of emerging adults, but this study give no reason the to worry about the role of social media for COVID-19 news and information. However, as some social media platforms and sources showed negative associations, future studies should more carefully look into these factors to better understand the associations between social media use for news and information, and behavioral interventions in times of crisis.


Author(s):  
Vittoria Franchina ◽  
Mariek Vanden Abeele ◽  
Antonius van Rooij ◽  
Gianluca Lo Coco ◽  
Lieven De Marez

Fear-of-missing-out (FOMO) refers to feelings of anxiety that arise from the realization that you may be missing out on rewarding experiences that others are having. FOMO can be identified as an intra-personal trait that drives people to stay up to date of what other people are doing, among others on social media platforms. Drawing from the findings of a large-scale survey study among 2663 Flemish teenagers, this study explores the relationships between FOMO, social media use, problematic social media use (PSMU) and phubbing behavior. In line with our expectations, FOMO was a positive predictor of both how frequently teenagers use several social media platforms and of how many platforms they actively use. FOMO was a stronger predictor of the use of social media platforms that are more private (e.g., Facebook, Snapchat) than platforms that are more public in nature (e.g., Twitter, Youtube). FOMO predicted phubbing behavior both directly and indirectly via its relationship with PSMU. These findings support extant research that points towards FOMO as a factor explaining teenagers’ social media use.


2020 ◽  
Author(s):  
Christopher Wakefield

Digital public archaeology is increasingly exploring social networks as platforms for online outreach initiatives. Despite a growing body of literature concerning archaeological engagement on social media there are few examinations of such applications in practice. This research critically assesses the current discussions surrounding archaeological social media use before exploring commercial digital outreach at Must Farm, Cambridgeshire. Quantitative examinations of the project's Facebook metrics and qualitative comment analyses are employed to assess whether audiences were meaningfully engaged by these online strategies. The research concludes there is substantial value in using social networks to communicate archaeology and provides recommendations for future applications.


Author(s):  
Alberto Prado Román ◽  
Iria Paz-Gil ◽  
Miguel Prado Román

Social networks are a very relevant tool for businesses to connect efficiently with many users at the same time. It means that in the second decade of the 21st century, companies have strengthened their strategies to expand their influence. In the higher education context, social media can help develop teaching strategies. Nevertheless, are they also relevant to expanding the professional capacity of researchers? Given this, this research aims to determine whether they are relevant within the research field and how they use them according to the researchers' position and the professional objectives set.


BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e038372
Author(s):  
Naym Uddin Roby ◽  
M Tasdik Hasan ◽  
Sahadat Hossain ◽  
Enryka Christopher ◽  
Md Kapil Ahmed ◽  
...  

ObjectiveTo determine whether the odds of being a smoker differ based on social media use and social interactions among urban university students in Bangladesh.HypothesisSocial media use and social interactions influence the smoking behaviour of Bangladeshi university students, particularly in starting and maintaining cigarette smoking.Design and settingA cross-sectional study using mixed methods on 600 student smokers and non-smokers recruited from two public and two private universities in Dhaka, Bangladesh, a lower middle-income country with limited resources. Exclusion criteria were those who did not use any form of social media and PhD students.ResultsOdds of smoking were significantly higher for those who socialised more than 4 hours/day (p<0.05; OR 1.75; 95% CI 1.12 to 2.75) and typically at night (p<0.05; OR 2.80; 95% CI 1.95 to 4.00). Odds of smoking were also higher for those who liked (p<0.05; OR 4.85; 95% CI 3.32 to 7.11), shared (p<0.05; OR 20.50; 95% CI 13.02 to 32.26) and followed (p<0.05; OR 2.88; 95% CI 1.36 to 6.11) tobacco-related content on social media. Qualitative analysis resulted in emergent themes of smokers imitating tobacco-related photos or videos seen on social media and peers as an influence for smoking initiation.ConclusionThis study suggests social media and social interactions may influence smoking behaviour in university students in Dhaka, Bangladesh. Future research should continue to investigate the roles social media and social interaction have on smoking in order to explore social media-based smoking cessation interventions or dissemination of smoking health hazards through social media.


2017 ◽  
Vol 20 (7) ◽  
pp. 2432-2449 ◽  
Author(s):  
Eva Vriens ◽  
Erik van Ingen

We derive hypotheses from popular accounts of how use of social media affects our strong ties. Several authors have suggested that social media use erodes our strong ties by increasing the volume of social interactions and decreasing their depth. Using two-wave panel data representative of the Dutch population between 15 and 45 years, we examine changes in the core discussion networks (CDNs) of 5312 respondents (with 10,896 relations). Contradicting an erosion of strong ties, we found positive effects of social media use on CDN size, both cross-sectionally and longitudinally. Social media use was positively related to talking to CDN members in our cross-sectional model. Finally, we found that the CDNs of frequent social media users were more dynamic than those of less frequent users: they are more likely to both lose old and gain new ties. This suggests that Internet use is associated with more, and more dynamic, social interaction.


2020 ◽  
Author(s):  
Rui Sun ◽  
Carlotta Rieble ◽  
Yang Liu ◽  
Disa Sauter

Physical distancing is crucial for slowing the spread of COVID-19, but the associated reduction of social interaction can be detrimental to psychological wellbeing. Here, we sought to understand whether different ways in which people connect to others might mitigate this negative impact. We examined how amount and type of social interactions and social media use would predict wellbeing during a period of physical distancing in the United Kingdom. In a 30-day diary study conducted in April-June 2020, 108 participants reported their daily social interactions and social media use, as well as their end-of-day wellbeing. Using multilevel regressions, we found that more face-to-face interactions positively predicted wellbeing, while technology-mediated communication had less consistent positive effects on wellbeing. More active and less passive social media use was associated with greater wellbeing. Our results suggest that while technology-mediated communication can improve wellbeing, face-to-face interactions are unique and important for wellbeing during physical distancing.


2016 ◽  
Vol 20 (1) ◽  
pp. 162-179 ◽  
Author(s):  
Jeffrey A Hall

This investigation explores the question, when is social media use social interaction? The results of three studies indicated that social media use was rarely considered social interaction. After using social media for 5 or 10 minutes, Study 1 ( N = 116) demonstrated that infrequent, directed social media behavior (e.g. chatting, commenting) predicted having a social interaction and feeling related. Study 2 ( N = 197) used event sampling to examine participants’ social interactions with friends ( n = 2388) and found 96.5% of social interactions did not take place on social media. Study 3 ( N = 54) used experience sampling to record participants’ experiences over 5 days ( n = 1332). Social media use and social interaction occasionally co-occurred, but only 2% of social interactions took place through social media. Social interactions through social media were usually talk-focused, one-on-one exchanges with closer relational partners, and rarely undifferentiated, broadcasted, or passively consumed information shared with acquaintances.


2020 ◽  
Author(s):  
Jessica Hamilton ◽  
Woanjun Lee

BACKGROUND Social media use is associated with poor sleep among adolescents, including daytime sleepiness, which impacts adolescents’ physical and mental health. Less research has examined whether specific social media behaviors, such as checking and posting, and adolescents’ perceived importance of social media for social purposes are associated with sleepiness. Identifying whether certain adolescents are more at risk or protected from the effects of SM on sleepiness than others may inform future interventions around sleep and social media. OBJECTIVE The study aimed to examine the association between social media use frequency and importance and daytime sleepiness, and whether perceived importance of social media for social interactions and parental rules around bedtime technology exacerbated these relationships. METHODS This cross-sectional, survey study was conducted with a sample of 4,153 adolescents from across the United States. Qualtrics was used to collect data via panel recruitment from a national sample representing the US demographics of teens aged 12-17 years old. Participants completed measures of daytime sleepiness, frequency of social media checking and posting, and importance of social media for social interactions. Parents reported whether they had a household rule around bedtime media/screen use. Hierarchical regressions and moderation analyses were conducted, covarying for age, gender, and age of first smartphone. RESULTS Participants had a mean age of 14.64 (SD 1.66) years in grades 6-12, and 46% identified as female and 68% as White. Results indicated that adolescents who posted (B = .70, SE = .04, p <.001) or checked (B = .76, SE = .04, p <.001) on social media more frequently or who perceived social media to be more important for social affordances (B = .36, SE = .02, p <.001) were more likely to have daytime sleepiness. Moderation analyses indicated that the relationship between social media frequency and importance and daytime sleepiness was exacerbated by higher levels of perceived social media importance (B = .04, SE = .01, p <.001) and for those who did not have household rules around bedtime technology use (Frequency: B = -.34, SE = .09, p <.001; Importance: B = -.16, SE = .04, p <.001) . CONCLUSIONS Findings suggest that adolescents who use social media more frequently and perceive social media to be more important for social interactions are more likely to have daytime sleepiness. Adolescents with more social media use are more likely to be affected if SM is more important for social affordances, or if their parents did not have household rules around bedtime technology use. Findings may guide future prevention and intervention programs designed to reduce daytime sleepiness, particularly focused on social media behaviors and bedtime technology rules.


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