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Examining the Relationships Between Instagram and Snapchat Usage Frequency, Fear of Missing Out, Self-Esteem and Internet Addiction
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This article discusses the fear of missing out (FOMO) on rewarding experiences, an important psychological construct in contemporary times. We present an overview of the FOMO construct and its operational definition and measurement. Then, we review recent empirical research on FOMO’s relationship with levels of online social engagement, problematic technology and internet communication use, negative affectivity, and sociodemographic variables. Additionally, we discuss theoretical conceptualizations regarding possible causes of FOMO and how FOMO may drive problematic internet technology use. Finally, we discuss future directions for the empirical study of FOMO.
Some of the most frequently used online applications are Facebook, WhatsApp, and Twitter. These applications allow individuals to communicate with other users, to share information or pictures, and to stay in contact with friends all over the world. However, a growing number of users suffer from negative consequences due to their excessive use of these applications, which can be referred to as Internet-communication disorder. The frequent use and easy access of these applications may also trigger the individual's fear of missing out on content when not accessing these applications. Using a sample of 271 participants, a structural equation model was analyzed to investigate the role of psychopathological symptoms and the fear of missing out on expectancies towards Internet-communication applications in the development of symptoms of an Internet-communication disorder. The results suggest that psychopathological symptoms predict higher fear of missing out on the individual's Internet-communication applications and higher expectancies to use these applications as a helpful tool to escape from negative feelings. These specific cognitions mediate the effect of psychopathological symptoms on Internet-communication disorder. Our results are in line with the theoretical model by Brand et al. (2016) as they show how Internet-related cognitive bias mediates the relationship between a person's core characteristics (e.g., psychopathological symptoms) and Internet-communication disorder. However, further studies should investigate the role of the fear of missing out as a specific predisposition, as well as specific cognition in the online context.
Online social networking sites (SNSs) have gained increasing popularity in the last decade, with individuals engaging in SNSs to connect with others who share similar interests. The perceived need to be online may result in compulsive use of SNSs, which in extreme cases may result in symptoms and consequences traditionally associated with substance-related addictions. In order to present new insights into online social networking and addiction, in this paper, 10 lessons learned concerning online social networking sites and addiction based on the insights derived from recent empirical research will be presented. These are: (i) social networking and social media use are not the same; (ii) social networking is eclectic; (iii) social networking is a way of being; (iv) individuals can become addicted to using social networking sites; (v) Facebook addiction is only one example of SNS addiction; (vi) fear of missing out (FOMO) may be part of SNS addiction; (vii) smartphone addiction may be part of SNS addiction; (viii) nomophobia may be part of SNS addiction; (ix) there are sociodemographic differences in SNS addiction; and (x) there are methodological problems with research to date. These are discussed in turn. Recommendations for research and clinical applications are provided.
Social networking sites (SNS) are especially attractive for adolescents, but it has also been shown that these users can suffer from negative psychological consequences when using these sites excessively. We analyze the role of fear of missing out (FOMO) and intensity of SNS use for explaining the link between psychopathological symptoms and negative consequences of SNS use via mobile devices. In an online survey, 1468 Spanish-speaking Latin-American social media users between 16 and 18 years old completed the Hospital Anxiety and Depression Scale (HADS), the Social Networking Intensity scale (SNI), the FOMO scale (FOMOs), and a questionnaire on negative consequences of using SNS via mobile device (CERM). Using structural equation modeling, it was found that both FOMO and SNI mediate the link between psychopathology and CERM, but by different mechanisms. Additionally, for girls, feeling depressed seems to trigger higher SNS involvement. For boys, anxiety triggers higher SNS involvement.
This study was aimed at assessing the assumption that maladjustment to college could lead some toward excessive social media engagement for leisure during class. Moreover, the mediating role of a new phenomenon termed fear of missing out (FoMO) linking maladjustment to college life to social media engagement was examined for the first time. Data were gathered from 290 undergraduate students. Path analysis results showed that the maladjustment to college variable is linked to social media use only insofar as it is linked to FoMO. This study lends credence to previous work by showing the robust mediating role of FoMO in explaining social media use during lectures.
This survey study among adolescents (N = 402) investigates an integrative model that examines (1) the mediating role of adolescents’ fear of missing out (FoMO) in the relationships of adolescents’ need to belong and need for popularity with adolescents’ Facebook use and (2) the relationships of adolescents’ FoMO with adolescents’ perceived stress related to the use of Facebook. Structural equation modeling results indicated that an increased need to belong and an increased need for popularity were associated with an increased use of Facebook. These relationships were mediated by FoMO. Increased FoMO was associated with increased stress related to Facebook use. These results emphasize the important role that FoMO plays in adolescents’ media use and well-being.
Objective: The objective of the study is to examine the validity and reliability of the Turkish version of the Short Form of Young’s Internet Addiction Test (YIAT-SF) for university students and adolescents. Methods: The study was conducted with four different sample groups of 1167 university students of 17-35 years of age and five different sample groups of 945 adolescents aged between 14 and 17. The validity of the scale was examined using exploratory factor analysis, confirmatory factor analysis and criteria-dependent validity. The reliability of the scale was analyzed using Cronbach alpha coefficient and test-retest method. Item analysis was conducted using corrected item total points correlation and item average points for 27% of top and bottom groups. Findings: Exploratory factor analysis results demonstrated that the scale was formed by 12 items and a single factor for both university students and the adolescents; and confirmatory factor analysis showed that YIAT-SF had good adaptive values for both groups and correlation analysis results determined that YIAT-SF was correlated with the applied scales within the context of criteria-dependent validity for both university students and the adolescents. Both YIAT-SF Cronbach’s alpha and test-retest reliability coefficients were found to be within the acceptable range for both groups. Finally, corrected item total correlation coefficients were observed to be at acceptable levels for both university students and the adolescents and t-values related to item average points for 27% of top and bottom groups were found to be significant. Result: These findings demonstrated that YIAT-SF is a reliable and valid scale for both university students and adolescents. © 2016, Cukurova University, Faculty of Medicine. All rights reserved.
Psychologists typically rely on self-report data when quantifying mobile phone usage, despite little evidence of its validity. In this paper we explore the accuracy of using self-reported estimates when compared with actual smartphone use. We also include source code to process and visualise these data. We compared 23 participants' actual smartphone use over a two-week period with self-reported estimates and the Mobile Phone Problem Use Scale. Our results indicate that estimated time spent using a smartphone may be an adequate measure of use, unless a greater resolution of data are required. Estimates concerning the number of times an individual used their phone across a typical day did not correlate with actual smartphone use. Neither estimated duration nor number of uses correlated with the Mobile Phone Problem Use Scale. We conclude that estimated smartphone use should be interpreted with caution in psychological research.
The co-occurrence of depression and envy is both plausible and empirically established. However, little is known about the mechanisms underlying this correlation. An account is proposed according to which low self-esteem in depressed individuals leads to upward social comparison and thus makes envy more likely. This effect should frequently occur in online social networks like Facebook because they allow for easy impression management and hence provide high comparison standards. In a quasi-experimental online study, depressed and non-depressed participants indicated their self-esteem and were then presented with
specifically set up Facebook profiles that were either attractive or unattractive. Participants were asked to compare themselves to the profile owner and to report their resulting feelings of inferiority and envy. Depressed participants were more envious, especially after seeing the attractive profile. Envy was associated with higher self-reported inferiority and also correlated negatively with self-esteem. The connection between depression and envy is demonstrated with an experimental elicitation of envy for the first time. The results strongly suggest that low self-esteem and consequent feelings of inferiority play a crucial role in depressed individuals’ elevated levels of envy. Practical implications and limitations are
discussed.
This paper reports the results from two waves of studies on the development of Chinese Internet Addiction Scale (CIAS) and its revision (CIAS-R). Based upon the conception framework adapted from other traditional addiction disorders such like pathological gambling and substance addictions, the tendency of Internet addiction was presumably characterized with two aspects of behavioral manifestation, i.e., core symptoms and related problems. In study 1, the original items of the CIAS depicting core symptoms and related problems of the Internet addiction were thus generated through focused interview and derived from the diagnostic criteria of other well-defined addiction disorders. The CIAS, background questionnaire eliciting data on basic demographics, weekly on-line hours, habitual domains, and experience of Internet utilization were administered in a traditional paper and pencil manner to a random sample of students of National Taiwan University (N=1336) Factor analysis, correlation analysis, and t-test were utilized to analyze data. The results show that: The CIAS is an appealing and reliable test with satisfactory test-retest reliability and internal consistency. Correlation analyses yield significantly positive correlation of total scale and subscale scores of CIAS with weekly Internet hours, but not with experience of Internet utilization. Moreover, high-risk students show different attitudes toward Internet use and addiction from the normal. In study 2, the CIAS-R, with modification of item wording as well as addition and elimination of some items, were administered to another wave of random subjects at National Taiwan University (N=1975). Same procedure and analyses were applied. It results in a better factor structure in CIAS-R, with similarly satisfactory psychometric properties. Future research concerning scale revision as well as possible psychopathological approach to Internet addiction will be discussed accordingly.
Internet addiction is a rapidly growing field of research, receiving attention from researchers, journalists and policy makers. Despite much empirical data being collected and analyzed clear results and conclusions are surprisingly absent. This paper argues that conceptual issues and methodological shortcomings surrounding internet addiction research have made theoretical development difficult. An alternative model termed compensatory internet use is presented in an attempt to properly theorize the frequent assumption that people go online to escape real life issues or alleviate dysphoric moods and that this sometimes leads to negative outcomes. An empirical approach to studying compensatory internet use is suggested by combining the psychological literature on internet addiction with research on motivations for internet use. The theoretical argument is that by understanding how motivations mediate the relationship between psychosocial well-being and internet addiction, we can draw conclusions about how online activities may compensate for psychosocial problems. This could help explain why some people keep spending so much time online despite experiencing negative outcomes. There is also a methodological argument suggesting that in order to accomplish this, research needs to move away from a focus on direct effects models and consider mediation and interaction effects between psychosocial well-being and motivations in the context of internet addiction. This is key to further exploring the notion of internet use as a coping strategy; a proposition often mentioned but rarely investigated.
The present study examined the relationship between the Big Five and the use of Facebook to fulfill belonging and self-presentational needs. One hundred and eighty four undergraduates completed a survey assessing personality and Facebook behaviors and motivations. High agreeableness and neuroticism were the best predictors of belongingness-related behaviors and motivations. Extraversion was associated with more frequent use of Facebook to communicate with others. Self-presentational behaviors and motivations were best predicted by low conscientiousness and high neuroticism. Results suggest that conscientious individuals are cautious in their online self-presentation. Neuroticism, agreeableness, and extraversion were positively associated with the tendency to express one’s actual self. Neuroticism was positively associated with the expression of ideal and hidden self-aspects. The motivation to express these self-aspects mediated the relationship between neuroticism and self-disclosure.
The wealth of social information presented on Facebook is astounding. While these affordances allow users to keep up-to-date, they also produce a basis for social comparison and envy on an unprecedented scale. Even though envy may endanger users' life satisfaction and lead to platform avoidance, no study exists uncovering this dynamics. To close this gap, we build on responses of 584 Facebook users collected as part of two independent studies. In study 1, we explore the scale, scope, and nature of envy incidents triggered by Face-book. In study 2, the role of envy feelings is examined as a mediator between intensity of passive following on Facebook and users' life satisfaction. Confirming full mediation, we demonstrate that passive following exacerbates envy feelings, which decrease life satisfaction. From a provider's perspective, our findings signal that users frequently perceive Facebook as a stressful environment , which may, in the long-run, endanger platform sustainability.
The last decade has witnessed a large increase in research on the newly emerging mental health problem of Internet addiction. Rather than looking at Internet addiction per se, this study focused on particular activities on the Internet that might be potentially addictive and linked them to personality traits that might predispose individuals to Internet addiction. The aims of this study were (i) to assess the prevalence of clinically significant levels of Internet addiction, and to (ii) discern the interplay between personality traits and specific Internet uses in increasing the risk for Internet addiction. This cross-sectional online survey used data from 2257 students of an English university. Results indicated that 3.2% of the students were classified as being addicted to the Internet. The included personality traits and uses of online activities explained 21.5% of the variance in Internet addiction. A combination of online shopping and neuroticism decreased the risk for Internet addiction, whereas a combination of online gaming and openness to experience increased it. In addition to this, frequent usage of online shopping and social online activities, high neuroticism and low agreeableness significantly increased the chances of being addicted to the Internet. Findings and their implications are discussed.
http://dx.doi.org/10.1016/j.chb.2012.12.024
The Bergen Facebook Addiction Scale (BFAS), initially a pool of 18 items, three reflecting each of the six core elements of addiction (salience, mood modification, tolerance, withdrawal, conflict, and relapse), was constructed and administered to 423 students together with several other standardized self-report scales (Addictive Tendencies Scale, Online Sociability Scale, Facebook Attitude Scale, NEO-FFI, BIS/BAS scales, and Sleep questions). That item within each of the six addiction elements with the highest corrected item-total correlation was retained in the final scale. The factor structure of the scale was good (RMSEA = .046, CFI = .99) and coefficient alpha was .83. The 3-week test-retest reliability coefficient was .82. The scores converged with scores for other scales of Facebook activity. Also, they were positively related to Neuroticism and Extraversion, and negatively related to Conscientiousness. High scores on the new scale were associated with delayed bedtimes and rising times.
The current research started from the assumption that one of the major motives driving individuals' Internet use is to relieve psychosocial problems (e.g., loneliness, depression). This study showed that individuals who were lonely or did not have good social skills could develop strong compulsive Internet use behaviors resulting in negative life outcomes (e.g., harming other significant activities such as work, school, or significant relationships) instead of relieving their original problems. Such augmented negative outcomes were expected to isolate individuals from healthy social activities and lead them into more loneliness. Even though previous research suggests that social use of the Internet (e.g., social networking sites, instant messaging) could be more problematic than entertainment use (e.g., downloading files), the current study showed that the former did not show stronger associations than the latter in the key paths leading to compulsive Internet use.
Low self-esteem and depression are strongly correlated in cross-sectional studies, yet little is known about their prospective effects on each other. The vulnerability model hypothesizes that low self-esteem serves as a risk factor for depression, whereas the scar model hypothesizes that low self-esteem is an outcome, not a cause, of depression. To test these models, the authors used 2 large longitudinal data sets, each with 4 repeated assessments between the ages of 15 and 21 years and 18 and 21 years, respectively. Cross-lagged regression analyses indicated that low self-esteem predicted subsequent levels of depression, but depression did not predict subsequent levels of self-esteem. These findings held for both men and women and after controlling for content overlap between the self-esteem and depression scales. Thus, the results supported the vulnerability model, but not the scar model, of self-esteem and depression.
What kinds of psychological features do people have when they are overly involved in usage of the internet? Internet users in Korea were investigated in terms of internet over-use and related psychological profiles by the level of internet use. We used a modified Young's Internet Addiction Scale, and 13,588 users (7,878 males, 5,710 females), out of 20 million from a major portal site in Korea, participated in this study. Among the sample, 3.5% had been diagnosed as internet addicts (IA), while 18.4% of them were classified as possible internet addicts (PA). The Internet Addiction Scale showed a strong relationship with dysfunctional social behaviors. More IA tried to escape from reality than PA and Non-addicts (NA). When they got stressed out by work or were just depressed, IA showed a high tendency to access the internet. The IA group also reported the highest degree of loneliness, depressed mood, and compulsivity compared to the other groups. The IA group seemed to be more vulnerable to interpersonal dangers than others, showing an unusually close feeling for strangers. Further study is needed to investigate the direct relationship between psychological well-being and internet dependency.
The model of problematic Internet use advanced and tested in the current study proposes that individuals' psychosocial well-being, along with their beliefs about interpersonal communication (both face-to-face and online) are important cognitive predictors of negative outcomes arising from Internet use. The study examined the extent to which social anxiety explains results previously attributed to loneliness as a predictor of preference for online social interaction and problematic Internet use. The results support the hypothesis that the relationship between loneliness and preference for online social interaction is spurious, and that social anxiety is the confounding variable.
Internet addiction is characterized by excessive or poorly controlled preoccupations, urges or behaviours regarding computer use and internet access that lead to impairment or distress. The condition has attracted increasing attention in the popular media and among researchers, and this attention has paralleled the growth in computer (and Internet) access.
Prevalence estimates vary widely, although a recent random telephone survey of the general US population reported an estimate of 0.3–0.7%.
The disorder occurs worldwide, but mainly in countries where computer access and technology are widespread. Clinical samples and a majority of relevant surveys report a male preponderance. Onset is reported to occur in the late 20s or early 30s age group, and there is often a lag of a decade or more from initial to problematic computer usage.
Internet addiction has been associated with dimensionally measured depression and indicators of social isolation. Psychiatric co-morbidity is common, particularly mood, anxiety, impulse control and substance use disorders. Aetiology is unknown, but probably involves psychological, neurobiological and cultural factors.
There are no evidence-based treatments for internet addiction. Cognitive behavioural approaches may be helpful. There is no proven role for psychotropic medication. Marital and family therapy may help in selected cases, and online self-help books and tapes are available. Lastly, a self-imposed ban on computer use and Internet access may be necessary in some cases.
The constant development of online social media features and related services has constantly attracted and increased the number of social media users. But, at the same time, a myriad of users have deviated themselves, temporarily or permanently, from social media use due to social media fatigue. Scholars have investigated different antecedents and consequences of social media fatigue. However, empirical relationships between psychosocial wellbeing and social media fatigue are currently not known. To bridge this gap, the current study utilises the stressor-strain-outcome framework (SSO) to examine whether psychosocial wellbeing measures, such as compulsive media use and fear of missing out, trigger fatigue and, furthermore, whether social media fatigue results in anxiety and depression. The study utilised repeated cross-sectional methodology whereby two waves of data (N = 1554, 1144) were collected to test the research model with adolescent social media users in India. The study findings suggest that compulsive media use significantly triggered social media fatigue, which later result in elevated anxiety and depression. Fear of missing out indirectly predicted social media fatigue through mediation of compulsive social media use. The theoretical and practical implications, limitations of the present study and agenda for future studies are presented and discussed.
Introduction:
Recently studies examined mediating psychological constructs accounting for relations between both depression and anxiety with problematic smartphone use (PSU) severity. The aim of the current study was to analyze the fear of missing out (FOMO) as a possible mediator in these relationships.
Method:
We recruited 1034 Chinese undergraduate students via a web-based survey that measured smartphone use frequency, PSU, depression, anxiety and FOMO.
Results:
Structural equation modeling demonstrated that FOMO was significantly related to smartphone use frequency and PSU severity. FOMO significantly mediated relations between anxiety and both smartphone use frequency and PSU severity. FOMO did not account for relations between depression and smartphone use/PSU.
Conclusion:
This is one of the first studies testing FOMO in relation to PSU severity among Asian participants. FOMO may be an important variable accounting for why some types of psychopathology (e.g., anxiety) are associated with PSU.
This study investigated the prevalence of Internet addiction among South Korean adolescents and explored family factors associated with such addiction. The study participants were middle and high school students residing in Seoul. One-tenth (10.7%) of the 903 adolescents surveyed scored at least 70 on the Internet Addiction Scale. These youths were considered at high risk for Internet addiction and in need of further assessment and intervention. Results show that parenting attitudes, family communication, family cohesion, and family violence exposure (e.g., conjugal violence and parent-to-child violence) were associated with Internet addiction. These findings indicate that families play an important role in preventing Internet addiction and must be considered when programs are developed to minimize excessive Internet usage by high-risk adolescents.
What is a social medium, and how may one moderate, isolate, and influence communicative processes within? Although scholars assume an inherent understanding of social media based on extant technology, there is no commonly accepted definition of what social media are, both functionally and theoretically, within communication studies. Given this lack of understanding, cogent theorizing regarding the uses and effects of social media has been limited. This work first draws on extant definitions of social media and subcategories (e.g., social network sites) from public relations, information technology, and management scholarship, as well as the popular press, to develop a definition of social media precise enough to embody these technologies yet robust enough to remain applicable in 2035. It then broadly explores emerging developments in the features, uses, and users of social media for which future theories will need to account. Finally, it divines and prioritizes challenges that may not yet be apparent to theorizing communication processes with and in mercurial social media. We address how social media may uniquely isolate and test communicative principles to advance our understanding of human-human and human-computer interaction. In all, this article provides a common framework to ground and facilitate future communication scholarship and beyond.
The present study experimentally investigated the effect of Facebook usage on women's mood and body image, whether these effects differ from an online fashion magazine, and whether appearance comparison tendency moderates any of these effects. Female participants (N = 112) were randomly assigned to spend 10 min browsing their Facebook account, a magazine website, or an appearance-neutral control website before completing state measures of mood, body dissatisfaction, and appearance discrepancies (weight-related, and face, hair, and skin-related). Participants also completed a trait measure of appearance comparison tendency. Participants who spent time on Facebook reported being in a more negative mood than those who spent time on the control website. Furthermore, women high in appearance comparison tendency reported more facial, hair, and skin-related discrepancies after Facebook exposure than exposure to the control website. Given its popularity, more research is needed to better understand the impact that Facebook has on appearance concerns.
The purposes of this study are to (1) identify the role of the psychological traits of university students in Facebook addiction and Facebook usage; and (2) explore the correlation between Facebook usage and Facebook addiction. This study treated 241 university students in Taiwan as the research subjects, and adopted the Rosenberg’s self-esteem scale, Lai’s personality test, a Facebook usage scale, and a Facebook addiction scale (FAS). The structured equation modeling (SEM) was used for data analysis. The results showed that: (1) self-inferiority can significantly predict Facebook usage; and (2) having a depressive character and Facebook usage can significantly predict Facebook addiction. Finally, discussion was conducted on the findings, and relevant suggestions were proposed for schools, students, and future studies.
Abstract The purpose of this study was to examine the prevalence of Internet addiction in a nationally representative sample of Chinese elementary and middle school students and to investigate Internet addiction among Internet users with different usages. The data were from the National Children's Study of China (NCSC) in which 24,013 fourth- to ninth-grade students were recruited from 100 counties in 31 provinces in China. Only 54.2% of the students had accessed the Internet. According to the criteria of Young's Diagnostic Questionnaire (YDQ), an eight-item instrument, the prevalence of Internet addiction in the total sample was 6.3%, and among Internet users was 11.7%. Among the Internet users, males (14.8%) and rural students (12.1%) reported Internet addiction more than females (7.0%) and urban students (10.6%). The percentage of Internet addicts in elementary school students (11.5%) was not significantly lower than the percentage of middle school students (11.9%). There was no statistically significant difference between the four geographical regions (9.6%, 11.5%, 12.3%, 11.1%) characterized by different levels of economy, health, education, and social environment. As the frequency of Internet use and time spent online per week increased, the percentage of Internet addicts increased. When considering the location and purpose of Internet use, the percentage of Internet addicts was highest in adolescents typically surfing in Internet cafes (18.1%) and playing Internet games (22.5%).
Aims:
The aim of the present study was to compare psychiatric symptoms between adolescents with and without Internet addiction, as well as between analogs with and without substance use.
Methods:
A total of 3662 students (2328 male and 1334 female) were recruited for the study. Self-report scales were utilized to assess psychiatric symptoms, Internet addiction, and substance use.
Results:
It was found that Internet addiction or substance use in adolescents was associated with more severe psychiatric symptoms. Hostility and depression were associated with Internet addiction and substance use after controlling for other symptoms.
Conclusions:
This result partially supports the hypothesis that Internet addiction should be included in the organization of problem behavior theory, and it is suggested that prevention and intervention can best be carried out when grouped with other problem behaviors. Moreover, more attention should be devoted to hostile and depressed adolescents in the design of preventive strategies and the related therapeutic interventions for Internet addiction.
Self-esteem has become a household word. Teachers, parents, therapists, and others have focused efforts on boosting self-esteem, on the assumption that high self-esteem will cause many positive outcomes and benefits—an assumption that is critically evaluated in this review.
Appraisal of the effects of self-esteem is complicated by several factors. Because many people with high self-esteem exaggerate their successes and good traits, we emphasize objective measures of outcomes. High self-esteem is also a heterogeneous category, encompassing people who frankly accept their good qualities along with narcissistic, defensive, and conceited individuals.
The modest correlations between self-esteem and school performance do not indicate that high self-esteem leads to good performance. Instead, high self-esteem is partly the result of good school performance. Efforts to boost the self-esteem of pupils have not been shown to improve academic performance and may sometimes be counterproductive. Job performance in adults is sometimes related to self-esteem, although the correlations vary widely, and the direction of causality has not been established. Occupational success may boost self-esteem rather than the reverse. Alternatively, self-esteem may be helpful only in some job contexts. Laboratory studies have generally failed to find that self-esteem causes good task performance, with the important exception that high self-esteem facilitates persistence after failure.
People high in self-esteem claim to be more likable and attractive, to have better relationships, and to make better impressions on others than people with low self-esteem, but objective measures disconfirm most of these beliefs. Narcissists are charming at first but tend to alienate others eventually. Self-esteem has not been shown to predict the quality or duration of relationships.
High self-esteem makes people more willing to speak up in groups and to criticize the group's approach. Leadership does not stem directly from self-esteem, but self-esteem may have indirect effects. Relative to people with low self-esteem, those with high self-esteem show stronger in-group favoritism, which may increase prejudice and discrimination.
Neither high nor low self-esteem is a direct cause of violence. Narcissism leads to increased aggression in retaliation for wounded pride. Low self-esteem may contribute to externalizing behavior and delinquency, although some studies have found that there are no effects or that the effect of self-esteem vanishes when other variables are controlled. The highest and lowest rates of cheating and bullying are found in different subcategories of high self-esteem.
Self-esteem has a strong relation to happiness. Although the research has not clearly established causation, we are persuaded that high self-esteem does lead to greater happiness. Low self-esteem is more likely than high to lead to depression under some circumstances. Some studies support the buffer hypothesis, which is that high self-esteem mitigates the effects of stress, but other studies come to the opposite conclusion, indicating that the negative effects of low self-esteem are mainly felt in good times. Still others find that high self-esteem leads to happier outcomes regardless of stress or other circumstances.
High self-esteem does not prevent children from smoking, drinking, taking drugs, or engaging in early sex. If anything, high self-esteem fosters experimentation, which may increase early sexual activity or drinking, but in general effects of self-esteem are negligible. One important exception is that high self-esteem reduces the chances of bulimia in females.
Overall, the benefits of high self-esteem fall into two categories: enhanced initiative and pleasant feelings. We have not found evidence that boosting self-esteem (by therapeutic interventions or school programs) causes benefits. Our findings do not support continued widespread efforts to boost self-esteem in the hope that it will by itself foster improved outcomes. In view of the heterogeneity of high self-esteem, indiscriminate praise might just as easily promote narcissism, with its less desirable consequences. Instead, we recommend using praise to boost self-esteem as a reward for socially desirable behavior and self-improvement.
Facebook, as one of the most popular social networking sites among college students, provides a platform for people to manage others' impressions of them. People tend to present themselves in a favorable way on their Facebook profile. This research examines the impact of using Facebook on people's perceptions of others' lives. It is argued that those with deeper involvement with Facebook will have different perceptions of others than those less involved due to two reasons. First, Facebook users tend to base judgment on examples easily recalled (the availability heuristic). Second, Facebook users tend to attribute the positive content presented on Facebook to others' personality, rather than situational factors (correspondence bias), especially for those they do not know personally. Questionnaires, including items measuring years of using Facebook, time spent on Facebook each week, number of people listed as their Facebook "friends," and perceptions about others' lives, were completed by 425 undergraduate students taking classes across various academic disciplines at a state university in Utah. Surveys were collected during regular class period, except for two online classes where surveys were submitted online. The multivariate analysis indicated that those who have used Facebook longer agreed more that others were happier, and agreed less that life is fair, and those spending more time on Facebook each week agreed more that others were happier and had better lives. Furthermore, those that included more people whom they did not personally know as their Facebook "friends" agreed more that others had better lives.
This study investigated whether university students' levels of loneliness, depression, and computer self-efficacy were significant predictors of their problematic Internet use levels. The study was carried out with 559 Turkish university students. The research data were analyzed by multiple regression analysis. The findings indicated that loneliness, depression, and computer self-efficacy were significant predictors of problematic Internet use. Loneliness was found as the most important predictive variable. Depression predicted problematic Internet use on the second rank, and computer self-efficacy on the third rank.
When 'FOMO' meets social media: Exploring the relationship between the fear of missing out and social media engagement in young adults
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