“I Share, Therefore I Am”: Personality Traits, Life Satisfaction, and Facebook Check-Ins

How do social and parasocial relationships on TikTok impact the well-being of university students? The roles of algorithm awareness and compulsive use

Social media now has emerged as one of the most widely used communication channels. The objective of this work is to verify the factors that influence the compulsive use of TikTok, as well as the mediating role of algorithm awareness, and to identify the predictors of well-being related to the use of TikTok. In the present work, the relevance of the study of PSRs and FoMO that affect the compulsive use of TikTok in young people is discussed. A total of 379 young university students (56.7 % girls) between 15 and 25 years old (M = 19.80; S.D. = 1.49) were surveyed using self-reports. Data treatment followed serial mediation through structural equation modeling. The results showed that exist significant relationships between these variables. Likewise, they reinforce the understanding of the diversity of the mechanisms of social and parasocial motivations on compulsive use and well-being. The results highlight the need to strengthen the training and education of young people in the appropriate and regulated use of TikTok in the university setting.

Social media use and social capital: Social media usage habits and perceptions of school administrators

Social media allows people to spend time together online and interact and connect. The relationship between well-being and social media usage is being studied more and more because it affects many areas and is discussed from different aspects. In this study, a complete count was made, and an online questionnaire was applied to all 1282 school administrators working at Antalya Provincial National Education public schools. Results reveal how the social media usage habits and social media perceptions of school administrators are, and accordingly how social media may help fertilize their social capital and establishing a healthy work environment. In light of the findings, social media usage habits are gathered under four dimensions: research/information, entertainment, recognition, and development. These gratified needs are the key elements of building one's social capital.

The Impact of Online Social Behavior on College Student's Life Satisfaction: Chain-Mediating Effects of Perceived Social Support and Core Self-Evaluation

Purpose

To examine the influence of social behavior on college students' life satisfaction and the mediating effects of perceived social support and core self-evaluation.

Methods

779 college students were investigated with the online social behavior scale, life satisfaction scale, core self-evaluation scale and perceived social support scale.

Results

Online social behavior significantly positively predicted the perceived social support and life satisfaction; Perceived social support significantly positively predicted the core self-evaluation and life satisfaction; Core self-evaluation significantly positively predicted life satisfaction; Perceived social support and core self-evaluation have a significant chain mediating effect between online social behavior and life satisfaction.

Conclusion

This study confirmed the positive effects of online social behavior on college students, through improving college students' level of perceived social support and core self-evaluation to increase life satisfaction.

Negative psychological and physiological effects of social networking site use: The example of Facebook

Social networking sites (SNS), with Facebook as a prominent example, have become an integral part of our daily lives and more than four billion people worldwide use SNS. However, the (over-)use of SNS also poses both psychological and physiological risks. In the present article, we review the scientific literature on the risk of Facebook (over-)use. Addressing this topic is critical because evidence indicates the development of problematic Facebook use ("Facebook addiction") due to excessive and uncontrolled use behavior with various psychological and physiological effects. We conducted a review to examine the scope, range, and nature of prior empirical research on the negative psychological and physiological effects of Facebook use. Our literature search process revealed a total of 232 papers showing that Facebook use is associated with eight major psychological effects (perceived anxiety, perceived depression, perceived loneliness, perceived eating disorders, perceived self-esteem, perceived life satisfaction, perceived insomnia, and perceived stress) and three physiological effects (physiological stress, human brain alteration, and affective experience state). The review also describes how Facebook use is associated with these effects and provides additional details on the reviewed literature, including research design, sample, age, and measures. Please note that the term "Facebook use" represents an umbrella term in the present work, and in the respective sections it will be made clear what kind of Facebook use is associated with a myriad of investigated psychological variables. Overall, findings indicate that certain kinds of Facebook use may come along with significant risks, both psychologically and physiologically. Based on our review, we also identify potential avenues for future research.

Occurrence of problematic Internet use and its correlates among Egyptian adolescent students in international schools in Cairo

Background

Internet addiction is a global phenomenon that has been a topic of great interest to researchers, clinicians, teachers, parents, and community groups. The study aims in determination of the rate of problematic Internet use among a sample of Egyptian adolescent students, relations of problematic Internet use with socio-demographic data, risk factors, and comorbid psychiatric disorders. A sample of 248 Egyptian adolescent school students aged 11 to 18 years old were assessed using the Young’s Internet Addiction Test (IAT), Internet Gaming Disorder (IGD) Scale, Social Media Disorder (SMD) Scale, Youth Self-Report (YSR), and The Mini International Neuropsychiatric Interview for children and adolescents (Mini KID).

Results

Among the study sample, 42.3% of the students suffered from mild Internet addiction, 35.1% suffered from moderate Internet addiction, and 3.6% suffered from severe addiction. 31.5% were risky gamers and 10.5% were disordered gamers; 34.3% had problematic social media disorder and the highest observed psychiatric disorders were major depressive episodes 9.3%, generalized anxiety disorder 7.7%, alcohol dependence 4.4%, attention-deficit hyperactivity disorder 4.4%, social phobia 4%, and a higher percentage of psychiatric disorders among severe Internet addiction 88.9% and among moderate addiction 70.6%, disordered gamers 92.3%, problematic social media users 60%, and a higher mean of hours spent online per day of 6.8 h per day.

Conclusions

Problematic Internet use has a negative impact on Egyptian adolescent students in international schools in study sample and adds to the existing literature regarding the magnitude of Internet addiction and its relationship with different psychiatric disorders.

"Nice You Share in Return": Informational Sharing, Reciprocal Sharing, and Life Satisfaction Amid COVID-19 Pandemic

Social media become an important space where people receive and share up-to-date health-related information during the rapid global spread of the novel coronavirus (COVID-19). While information sharing in social media has been shown to improve relations, reduce stress, and enhance life satisfaction, little is known about reciprocal sharing. Situated in COVID-19 pandemic, this study conceptualizes information sharing as a communication process during which sharers expect the receivers to reciprocate, while receivers feel obligated to return the favor. Building upon social exchange theory and studies on social media sharing, the study tested a model of moderated mediation in which sharing of COVID-19 information was predicted to enhance life satisfaction by encouraging reciprocal sharing, i.e., information reciprocity. Subjective norms, attitudes, and perceived usefulness of the information was predicted to moderate the mediation. The hypothesized mediation was supported by data from a survey of 511 online participants in China. Furthermore, the indirect effect appeared stronger among the respondents who found the information more useful, reported more positive attitude, or perceived more subjective norms. The findings suggest that expected reciprocation may be an important incentive for social sharing, and received reciprocation may be a central part of the mechanism through which sharing benefits the sharer. Policymakers and communicators may need to take information reciprocity into consideration when designing health information campaign to confront communal threats.

How different online self-presentations relate to life satisfaction differently in college students: The role of positive online feedback and self-esteem

In the Internet age, some online factors, such as online self-presentation, related to life satisfaction have received much attention. However, it is unclear whether and how different strategies of online self-presentation are linked to an individual's life satisfaction differently. Accordingly, the present study examined the possible different relationships between different online self-presentations and life satisfaction with a sample of 460 Chinese college students. Using a series of questionnaires, a moderated mediation model was built in which positive online feedback was a mediator and self-esteem was a moderator. The results indicated that: (1) positive self-presentation was negatively associated with college students' life satisfaction, whereas honest self-presentation was positively related to it; (2) positive online feedback was a significant mediator in such relationships; (3) the mediation process was moderated by self-esteem. Specifically, positive self-presentation was negatively related to positive online feedback only for high self-esteem college students, but negatively associated with life satisfaction only for low self-esteem ones. By contrast, honest self-presentation was positively associated with positive online feedback despite the level of self-esteem, but positively linked with life satisfaction only for those with low self-esteem. The findings suggest that honest rather than positive online self-presentation should be conducive to college students' life satisfaction, particularly for those with low self-esteem. The implications were discussed.

Social Relationship Prediction Integrating Personality Traits and Asymmetric Interactions

Social networks have become an important way for users to find friends and expand their social circle. Social networks can improve users’ experience by recommending more suitable friends to them. The key lies in improving the accuracy of link prediction, which is also the main research issue of this study. In the study of personality traits, some scholars have proved that personality can be used to predict users’ behavior in social networks. Based on these studies, this study aims to improve the accuracy of link prediction in directed social networks. Considering the integration of personality link preference and asymmetric interaction into the link prediction model of social networks, a four-dimensional link prediction model is proposed. Through comparative experiments, it is proved that the four-dimensional social relationship prediction model proposed in this study is more accurate than the model only based on similarity. At the same time, it is also verified that the matching degree of personality link preference and asymmetric interaction intensity in the model can help improve the accuracy of link prediction.

What Motivates People to Support?: Impacts of Message Valence and Self-Efficacy on Linguistic Features of Response

This study investigates factors that motivate users of social network sites (SNS) to write responses to support-seeking posts on SNS. In particular, support-seeking message valence and support providers' efficacy perceptions were examined. An online experiment with 209 participants revealed that participants reported lower support provision efficacy and impression management efficacy when responding to a negative post than a positive post. Message valence and efficacy perceptions impacted word count and emotion words in their responses. Theoretical and pragmatic implications for supportive communication and computer-mediated communication were discussed.

A trans-diagnostic cognitive behavioural conceptualisation of the positive and negative roles of social media use in adolescents’ mental health and wellbeing

Whilst research into the association between social media and mental health is growing, clinical interest in the field has been dominated by a lack of theoretical integration and a focus on pathological patterns of use. Here we present a trans-diagnostic cognitive behavioural conceptualisation of the positive and negative roles of social media use in adolescence, with a focus on how it interacts with common mental health difficulties. Drawing on clinical experience and an integration of relevant theory/literature, the model proposes that particular patterns of social media use be judged as helpful/unhelpful to the extent that they help/hinder the adolescent from satisfying core needs, particularly those relating to acceptance and belonging. Furthermore, it introduces several key interacting processes, including purposeful/habitual modes of engagement, approach/avoidance behaviours, as well as the potential for social media to exacerbate/ameliorate cognitive biases. The purpose of the model is to act as an aide for therapists to collaboratively formulate the role of social media in young people’s lives, with a view to informing treatment, and ultimately, supporting the development of interventions to help young people use social media in the service of their needs and values.

Key learning aims

(1)

Exploration of the Relationships Among Narcissism, Life Satisfaction, and Loneliness of Instagram Users and the High- and Low-Level Features of Their Photographs

We examined the associations between the characteristics of Instagram users and the features of their photographs. Narcissism, life satisfaction, and loneliness were employed for user variables and the features at high- (content) and low-levels (pixel) were employed to analyze the Instagram photographs. An online survey was conducted with 179 university students, and their Instagram photographs, 25,394 in total, were collected and analyzed. High-level features were extracted using Computer Vision and Emotion Application Programming Interfaces (APIs) in Microsoft Azure Cognitive Services, and low-level features were extracted utilizing the program written by the authors. The results of correlation analysis indicate that narcissism, life satisfaction, and loneliness were significantly associated with a part of photograph features at high- and low-levels. The results of the predictive analysis suggest that narcissism, loneliness in total, and social loneliness could be predicted with acceptable accuracy from Instagram photograph features, while characteristics such as life satisfaction, family loneliness, and romantic loneliness could not be predicted. Implications of this research and suggestions for further research were presented.

Identification and Prediction of Human Behavior through Mining of Unstructured Textual Data

The identification of human behavior can provide useful information across multiple job spectra. Recent advances in applying data-based approaches to social sciences have increased the feasibility of modeling human behavior. In particular, studying human behavior by analyzing unstructured textual data has recently received considerable attention because of the abundance of textual data. The main objective of the present study was to discuss the primary methods for identifying and predicting human behavior through the mining of unstructured textual data. Of the 823 articles analyzed, 87 met the predefined inclusion criteria and were included in the literature review. Our results show that the included articles could be symmetrically classified into two groups. The first group of articles attempted to identify the leading indicators of human behavior in unstructured textual data. In this group, the data-based approaches had three main components: (1) collecting self-reported survey data, (2) collecting data from social media and extracting data features, and (3) applying correlation analysis to evaluate the relationship between two sets of data. In contrast, the second group focused on the accuracy of data-based approaches for predicting human behavior. In this group, the data-based approaches could be categorized into (1) approaches based on labeled unstructured textual data and (2) approaches based on unlabeled unstructured textual data. The review provides a comprehensive insight into unstructured textual data mining to identify and predict human behavior and personality traits.

Use of Instagram, Social Comparison, and Personality as Predictors of Self-Esteem

Abstract In the face of a population that is increasingly connected electronically, the objective of this research was to test the predictive power of Instagram’s use intensity, social comparison and the five major personality factors of self-esteem. The survey, made available on the internet with sociodemographic questions and four scales, was answered by 625 Brazilians, of which 63.7% were women. The results indicated neuroticism and social comparison (abilities factor) as negative predictors of self-esteem. Extraversion, agreeableness, consciousness, social comparison (opinions factor), and age were shown to be positive predictors of self-esteem. For women, the higher the intensity of Instagram’s use, the lower the levels of self-esteem. The negative relationship between self-esteem and the intensity of Instagram use was mediated by social comparison (suppression effect). It is suggested that the harm of using the social network relates to the activity of comparing himself to other people.

Predicting intention to share information on commercial websites based on personality traits

Purpose

The growing popularity of e-commerce, in recent years, has led to an increase in sharing information in cyberspace. Personality traits are one of the most effective personal factors in sharing information on business websites. This study aims to investigate the relationship between personality traits and intention to share information on commercial websites.

Design/methodology/approach

In this survey study, structural equation modeling was used. The statistical population of this study consisted of 385 Iranian students. Two questionnaires, i.e. personality traits and intention to share information, were used to collect the required data. The validity of the research instruments was estimated by calculating the average variance extracted. Furthermore, the reliability was assessed and confirmed by Cronbach’s alpha coefficient and composite reliability. Data analysis was performed with AMOS and partial least squares statistical software.

Findings

The results indicated that the components of personality traits including authoritarianism, self-esteem, locus of control and adaptation had a significant positive effect on intention to share information.

Originality/value

In this study, the authors designed a model to examine the effect of personality traits on intention to share information on commercial websites.

Interpersonal Goals as Predictors of Facebook Use, Social Capital, and Envy

This study sought to examine whether interpersonal goals can help us understand who engages in social-capital-building responsive behaviors and envy-eliciting passive behaviors on Facebook. One hundred eighty-eight adults completed measures of interpersonal goals (compassionate and self-image), Facebook use (posting, responding, and searching), social capital sources and benefits, social comparison, and envy, along with various control measures. Serial mediation analyses revealed that compassionate goals significantly predicted four distinct social capital benefits (offline participation, emotional support, horizon broadening, and networking value) through greater Facebook responding and sources of social capital. Furthermore, self-image goals significantly predicted envy through greater Facebook searching and social comparison. These effects were significant with and without controlling for age, gender, Facebook friends, Facebook frequency, Facebook hours, self-esteem, attachment style, social desirability, and the other interpersonal goal and Facebook behaviors. Consistent with research on interpersonal goals in offline interactions, compassionate goals predicted more responsive behaviors and better social outcomes, while self-image goals predicted a competitive mindset and negative emotion. These findings extend the social networking site (SNS) literature by identifying a relevant new individual difference associated with SNS use and key outcomes related to well-being.

A Stimulated Recall Method for the Improved Assessment of Quantity and Quality of Social Media Use

Background

Social media are as popular as ever, and concerns regarding the effects of social media use on adolescent well-being and mental health have sparked many scientific studies into use effects. Social media research is currently at an important crossroads: conflicting results on social media use’s effects on well-being are abundant, and recent work in the field suggests that a new approach is required. The field is in need of an approach involving objective data regarding use where necessary and attention to different kinds of detail such as the why and how of social media use.

Objective

We present a novel paradigm implementing a principle from educational sciences called stimulated recall and demonstrate how it can be applied to social media use research. Our stimulated recall paradigm implements a number of elements that can fill the gaps currently present in social media and well-being research.

Methods

Objective data are collected regarding users’ social media behaviors through video footage and in-phone data and used for a structured stimulated recall interview to facilitate detailed and context-sensitive processing of these objective data. In this interview, objective data are reviewed with the participant in an act of co-research, in which details such as the reasons for their use (eg, boredom) and processes surrounding their use (eg, with whom) are discussed and visualized in a stimulated recall chart.

Results

Our ongoing study (N=53) implementing this paradigm suggests this method is experienced as pleasant by participants in spite of its personal and intensive nature.

Conclusions

The stimulated recall paradigm offers interesting and necessary avenues for approaching social media use research from new angles, addressing aspects of use that have thus far remained underexposed. The answers to questions such as “Why do adolescents use social media?” “In what ways exactly do they use social media?” and “How does social media use make them feel in the moment?” are now within reach, an important step forward in the field of social media use and well-being research.

Comparing mental health of Facebook users and Facebook non-users in an inpatient sample in Germany

BACKGROUND

The present study aimed to investigate differences in variables of positive mental health (PMH, i.e., emotional, psychological and social well-being) and negative mental health (NMH, i.e., somatoform complaints, depressiveness, social stress and insomnia) between clinical inpatients who use the social platform Facebook and those who do not use Facebook. Furthermore, the link between duration of daily Facebook use and mental health should be considered.

METHODS

In two subsamples of inpatients of a psychosomatic rehabilitation clinic in Germany (Facebook users: N = 336, Facebook non-users: N = 265), use of Facebook, PMH and NMH were assessed via a computer survey.

RESULTS

Facebook users had significantly higher values of three variables of NMH (i.e., depressiveness, social stress and insomnia), and significantly lower values of PMH than Facebook non-users. Duration of daily Facebook use was significantly negatively associated with PMH and significantly positively with all variables of NMH.

LIMITATIONS

Given the cross-sectional study design, current data do not imply causality.

CONCLUSION

Current results indicate that Facebook use is negatively associated with PMH and positively with NMH in clinical inpatients. Thus, future research should investigate whether and how Facebook use may have a negative effect on the recovery process of the inpatients.

Personality Traits, Motivations, and Emotional Consequences of Social Media Usage

This study explores social media users' personality traits and motivations for the usage of two different social media platforms, Facebook and Pinterest, as well as how the varied uses impact users' negative emotional experiences. The findings suggest that the intensity of social media usage is positively related to negative emotions. For Facebook users, socialization, entertainment, and information seeking motivations significantly influence their platform use intensity and, subsequently, lead to negative emotions. Self-status seeking also has a direct effect on Facebook users' negative emotions. For Pinterest users, socialization is not a significant motivation for usage of that platform. However, entertainment, information seeking, and self-status seeking significantly predict their platform use intensity, which subsequently lead to negative emotions. Similarly, all four motivations for Facebook and Pinterest uses are influenced by users' personality traits: extraversion and openness. Yet, openness has a greater impact on using Pinterest than Facebook in terms of fulfilling socialization needs. Neuroticism has a positive impact on socialization and information seeking motives for use of both platforms, while conscientiousness and agreeableness have a negative influence on fulfilling self-status seeking needs. In addition, agreeable social networking site users are less likely to use Facebook than Pinterest for fulfilling self-status related gratifications, while they are likely to use Pinterest instead of Facebook for entertainment and information needs. Implications of the findings and suggestions for future research are discussed.

Virtual communication about psychiatric intensive care units: Social actor representatives claim space on Twitter

Psychiatric intensive care units (PICU) provide care for those with the worst phases of mental illness. What defines a PICU is often decided locally at hospitals. The aim of the present study was to explore and describe a contemporary discourse on how PICU are socially constructed from virtual discussions. An explorative and descriptive study design was applied for this qualitative inquiry using discourse methodology. The data were collected in Twitter's search string and consists of 215 Twitter postings. A framework of social actor representatives that form the discourse was established and presented in three categories: (i) hospital and agencies communicating about PICU; (ii) health-care professionals communicating about PICU; and (iii) service users and relatives communicating about PICU. Hospitals, agencies, and health-care professionals hold great power and responsibility for informing the public about PICU. Transparent and informative tweets could turn the mystery of PICU into more specific, positive portrayals.

What Is Seen Is Who You Are: Are Cues in Selfie Pictures Related to Personality Characteristics?

Developments and innovation in the areas of mobile information technology, digital media and social networks foster new reflections on computer-mediated communication research, especially in the field of self-presentation. In this context, the selfie as a self-portrait photo is interesting, because as a meaningful gesture, it actively and directly relates the content of the photo to the author of the picture. From the perspective of the selfie as an image and the impression it forms, in the first part of the research we explored the distinctive characteristics of selfie pictures; moreover, from the perspective of the potential reflection of a selfie image on the personality of its author, in the second part we related the characteristics of selfie pictures to various personality constructs (e.g., Big Five personality traits narcissism and femininity-masculinity). Important aspects of selfies especially in relation to gender include the tilt of the head, the side of the face exhibited, mood and head position, later related also to the context of the selfie picture. We found no significant relations between selfie cues and personality constructs. The face-ism index was related to entitlement, and selfie availability to neuroticism.