Empirically-derived subgroups of Facebook users and their association with personality characteristics: a Latent Class Analysis

Adolescents and Social Media: Longitudinal Links Between Motivations for Using Social Media and Subsequent Internalizing Symptoms

Knowledge is lacking on whether adolescents' motivations for social media use predict internalizing symptoms, and few studies have considered the moderating role of extraversion. In 2017 (T1) and 2018 (T2), 197 adolescents (49.70% girls, Mage = 13.15, SD = 0.36) from a large metropolitan area participated in this study. Adolescents reported on their social media use motivations and extraversion (at T1) and depressive and anxiety symptoms (T1 and T2). Latent class analysis revealed four motivation profiles at T1: (1) entertainment and fun (30.97%); (2) avoidance and escapism (14.21%); (3) meeting new people, feel involved (16.75%); (4) boredom (38.07%). Social motivations (profile 3) predicted elevated internalizing symptoms at T2. Avoidance and boredom motivations (profile 2 and 4) predicted internalizing symptoms for adolescents with low extraversion. Social media use motivations and extraversion distinguish adolescents who benefit from social media from those who experience difficulties.

Time Spent on Mobile Apps Matters: A Latent Class Analysis of Patterns of Smartphone Use among Adolescents

The aims of the present study are: (1) to determine classes of adolescents with homogeneous patterns of smartphone or social media use; and (2) to examine the level of distress across the empirically derived profiles. Three hundred and forty adolescents (Mage = 15.61, SD = 1.19; 38.2% females) participated in a cross-sectional survey. Participants provided objective trace data on time spent on smartphones and applications, as well as self-reported social media addiction, social media use intensity, online social comparison, emotion dysregulation, and psychological distress. Latent class analysis (LCA) with total smartphone use categorized participants into three classes. Participants in Class 3 (19%) showed a more impaired functioning profile, with a tendency towards social media addiction and greater levels of distress. LCAs with the amount of time devoted to specific applications are more heterogeneous, and results showed that heavy use of social media apps was not consistently connected to the most impaired psychosocial profiles. Although the amount of mobile screen time can be a characteristic of problematic users, the link between social media usage and an adolescent's psychological characteristics is mixed. More research is needed to explore the interplay between mobile screen time and social media usage among adolescents.

The Big-five personality traits and their link to problematic and compensatory Facebook use: A systematic review and meta-analysis

Social networking sites are widespread worldwide, and Facebook is the leading platform in terms of the number of users, laying the ground for potential problematic use. However, problematic Facebook use does not occur for most users but only for a minority. Previous research has found an association between the Big-five personality traits and problematic Facebook use, but the direction of these associations remains controversial. We aimed to fill this gap in knowledge through a systematic review and meta-analysis comprising 425 effect-sizes (78 studies) and 39,930 individuals (females = 33 % to 89 %; age range = 17 to 48 years). Extraversion and neuroticism were associated with higher daily and weekly hours spent on Facebook, while conscientiousness was negatively associated with higher daily hours and not weekly hours. However, when time spent on Facebook was assessed by validated questionnaires, different patterns of associations were observed. Except for the non-significant role of extraversion, the other personality traits were negatively associated with problematic Facebook use, while neuroticism was positively associated. When using different assessment tools was considered, extraversion remained non-significant, but different association patterns were observed. Moreover, for compensatory Facebook use, all personality traits were negatively associated with it, whereas neuroticism exhibited a positive association. Different patterns of associations in terms of strength and direction were observed depending on samples and measures characteristics; thus, definitive conclusions on the direction of the associations are impossible to draw at present. A more robust conceptualization and assessment of problematic Facebook use, as well as time spent on it, is required. Implications, limitations, and future directions are discussed.

Social Media Use and Its Association with Mental Health and Internet Addiction among Portuguese Higher Education Students during COVID-19 Confinement

The use of social media was one of the most common way to keep in touch with friends and family during confinement. For higher education students, the fact that their universities were closed was a major change in their lives. The aim of this study is to relate the prevalence and type of social media with Internet addiction and mental health of university students in a district of Portugal during COVID-19 confinement. Mental health was studied by applying the reduced version of the Mental Health Inventory (MHI-5) and to measure the Internet use and dependence, the Internet Addiction Test (IAT) was used. The study (cross-sectional, descriptive, and correlational) used an online questionnaire, conducted on Google^® Forms and the link was sent to 4450 students, in the months of April to June 2020, during the confinement. A total of 329 valid questionnaires were obtained. We can conclude that regarding mental health, students in the 18-24 age group, single or divorced and who are not in a relationship, and with worse academic results, show worse levels of mental health. It is noteworthy that the students with the same characteristics also have the highest levels of addiction to internet.

A longitudinal investigation on problematic Facebook use, psychological distress and well-being during the second wave of COVID-19 pandemic

The social isolation and the subsequent, increased use of Social Networking Sites due to the COVID-19 pandemic have had an impact on subjective well-being around the world. The present longitudinal study examined whether changes in psychological distress and well-being during the Italian second wave of the pandemic differ among people with different levels of Problematic Facebook Use (PFU). A total of 493 participants (M_age = 24.55 ± 7.25; 80.3% females) completed measures of passive use of Facebook, social comparison orientation on Facebook, fear of missing out, psychological distress (depressive symptoms and fear of COVID-19 pandemic) and well-being across three waves. Latent class analysis (LCA) categorized participants into three groups with different PFU levels: healthy users, moderate PFU users, and high PFU users. Hierarchical linear modeling (HLM) showed that the between-person level (class membership) accounted for most of the variability in psychological distress and well-being. No significant changes were found in psychological distress and well-being over time, but the High PFU users showed greater levels of psychological distress and lower levels of well-being at each time point. The findings of this study suggest that the relationship between PFU, psychological distress and well-being may reflect trait-like time-invariant differences between individuals rather than state-like changes.

What drives me to use TikTok: A latent profile analysis of users' motives

With TikTok rising in social media, the heterogeneity of users creates diversity in motives for using it. The issue of which profiles of TikTok use motives can be identified warrants greater understanding. Conducting latent profile analyses for a sample of 384 TikTok users, we identified four profiles, namely overall low motives, overall medium motives, overall high motives, and escapist addiction and novelty motives profiles. The former three profiles reflect different levels of motivations across four motives (socially rewarding self-presentation, trendiness, escapist addiction, and novelty). It is worth noting that TikTok users in the escapist addiction and novelty motives profile are mainly motivated by escapist addiction and novelty, but not socially rewarding self-presentation or trendiness motives. Through multivariate analysis of variance (MANOVA) and multinomial logistic regression, we further explore the differences in TikTok use between the profiles and the extent to which users' background characteristics and TikTok use predict their profile membership. The four profiles differ significantly in terms of the scores of almost all TikTok use motives. The frequency of TikTok use and video posting are the most notable predictors of profile membership. These results make theoretical contributions to the extant literature on social media use profiles by exploring the number and types of latent profiles of TikTok use motives, which also inform opportunities for enhancing user experience and imply tailored content recommendations to both achieve maximized gratifications and maintain mental wellbeing based on user profiles.

Gender Differences in Healthy Lifestyle, Body Consciousness, and the Use of Social Networks among Medical Students

Background and Objectives: The goal of this survey was to identify the relationship between the level of satisfaction with body image, perceived health, and the usage of social media among freshmen medical university students. The influence of social media and peers was also related to body image. Materials and Methods: An online survey was distributed among freshmen healthcare students. The questionnaire collected sociodemographic, anthropometric data, and information about students’ perception about healthy lifestyle using open-ended questions, as well as their opinion about the importance of perfect body image and the level of satisfaction with their physical appearance. Questions focusing on the use of social media and the relationship with body image collected data on the use of social networks and how they affect students’ opinion about their own body image. Psychometric data were also gathered using the Body Consciousness Scale. For the statistical analysis, QSR NUD*IST (Non-numerical Unstructured Data Indexing Searching and Theorizing) Vivo 12 was used for qualitative data and IBM Statistical Package for Social Sciences (SPSS) Statistics for Windows, version 23 (SPSS Inc., Chicago, IL, USA) was used for descriptive and comparative results. Results: In total, 77 students aged 20.09 ± 2.47 years, of which the majority were women (75.30%), were included in the survey. The use of social network was about 4.81 ± 3.60 h/day. Facebook was the most used social networking site (94.80%), followed by Instagram (92.20%), Snapchat (16.90%), WhatsApp (15.60%), and TikTok (10.40%). The most common reason for using these sites was socialization. We found that 64.90% of healthcare students were normal weight. The main barriers for having a healthy lifestyle, as they were perceived by students, were the busy schedule and the lack of time needed to prepare healthy meals, lack of motivation, and lack of money. Women scored higher for the Private Body Consciousness and Public Body Consciousness scales. The main aspects related to a healthy lifestyle referred to physical activity, consumption of fruit and vegetables, water consumption, and a good quality of sleep. Gender differences were discussed as well. Conclusions: The results illustrated the complexity of the relationship between social media and body image and the need to prevent body image concerns, especially in young women.

The role of online social comparison as a protective factor for psychological wellbeing: A longitudinal study during the COVID-19 quarantine

During the COVID-19 pandemic crisis, the experience of quarantine has been an undesirable condition for people and it can have a negative impact on mental health and psychological wellbeing. Social isolation has led to an increase in time spent on social network sites, with people interacting more frequently with each other, and comparing online the way in which they are experiencing the same state of home confinement. Our study aimed to investigate the role of online social comparison on individuals' psychological distress and life satisfaction during the COVID-19-related quarantine. Specifically, a cross-lagged panel study at three-waves was conducted in Italy in order to examine the change in psychosocial distress levels (e.g. depression, anxiety, stress, loneliness, low life-satisfaction) from before the quarantine for a period of one month, as well as the predictive role of online social comparison to ameliorate individual distress. An online survey was distributed through a social media platform three times after the initial lockdown and at the epidemic's peak two and five weeks later. A total of 113 participants participated in an online survey between the 7th of March and 14th of April 2020. The results showed an increase in the levels of loneliness, depression, stress, anxiety and a decrease in the level of life satisfaction in the pre/post quarantine comparison. Our cross-lagged results also showed that online social comparison at T1 and T2 predicted the individual's improvement in levels of anxiety, stress, loneliness and life satisfaction over time. Overall, the results of the current study underline the positive effects of online social comparison on the reduction of psychological distress during the COVID-19 quarantine.

Personality associations with Facebook use and tendencies towards Facebook Use Disorder

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Facebook users reported higher levels of extraversion compared to non-users.

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Facebook users reported lower levels of conscientiousness compared to non-users.

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Tendencies towards Facebook-Use Disorder correlated negatively with conscientiousness.

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Tendencies towards Facebook-Use Disorder correlated positively with neuroticism.

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All results are controlled for potential effects of demographic variables.

Introduction

The present study sought to address core issues in the association between personality and the putative disordered use of Facebook. First, to redress the issue of generalisation from samples solely recruited from Facebook, we sought to explore personality differences between users and non-users of Facebook. Second, we aimed to investigate associations between personality and Facebook Use Disorder. The present study contributes a novel perspective to extant research on this topic by moving beyond the broad Big Five of personality, to explore possible relationships between Facebook use and sub-facets of the Big Five; all analyses were additionally controlled for confounding effects of demographic variables.

Methods

3,835 (n = 2,366 males) participants completed socio-demographic variables, the Big Five Inventory and stated their user status on Facebook (i.e. user versus non-user). Facebook-users also completed a Facebook Use Disorder scale assessing addictive tendencies towards Facebook use.

Results

Facebook users reported higher levels of extraversion and lower levels of conscientiousness compared to non-users. Tendencies towards Facebook Use Disorder correlated negatively with conscientiousness and positively with neuroticism in both males and females.

Conclusions

The present results indicate that research samples drawn from Facebook users may be biased with regard to personality (extraversion, conscientiousness). Moreover, certain personality traits – conscientiousness and neuroticism – which may influence the tendency towards Facebook Use Disorder are discussed.

Personality classification based on profiles of social networks’ users and the five-factor model of personality

Online social networks have become demanded ways for users to show themselves and connect and share information with each other among these social networks. Facebook is the most popular social network. Personality recognition is one of the new challenges between investigators in social networks. This paper presents a hypothesis that users by similar personality are expected to display mutual behavioral patterns when cooperating through social networks. With the goal of personality recognition in terms of analyzing user activity within Facebook, we collected information about the personality traits of users and their profiles on Facebook, hence we flourished an application using API Facebook. The participants of this study are 100 volunteers of Facebook users. We asked the participants to respond the NEO personality questionnaire in a period of 1 month in May 2012. At the end of this questionnaire, there was a link that asked the participants to permit the application to access their profiles. Based on all the collected data, classifiers were learned using different data mining techniques to recognize user personality by their profile and without filling out any questionnaire. With comparing classifiers’ results, the boosting-decision tree was our proposed model with 82.2% accuracy was more accurate than previous studies that were able to foresee personality according to the variables in their profiles in five factors for using it as a model for recognizing personality.