This statistic provides information on the share of Polish internet users, broken down by age group, who are afraid of missing something such as an event, news, or important status updates if they do not keep an eye on their social networks. During a survey in 2022, it was found that nearly every*****d of internet users from the youngest group of respondents suffered from high FOMO*.

This database is comprised of 951 participants who provided self-report data online in their school classrooms. The data was collected in 2016 and 2017. The dataset is comprised of 509 males (54%) and 442 females (46%). Their ages ranged from 12 to 16 years (M = 13.69, SD = 0.72). Seven participants did not report their age. The majority were born in Australia (N = 849, 89%). The next most common countries of birth were China (N = 24, 2.5%), the UK (N = 23, 2.4%), and the USA (N = 9, 0.9%). Data were drawn from students at five Australian independent secondary schools. The data contains item responses for the Spence Children’s Anxiety Scale (SCAS; Spence, 1998) which is comprised of 44 items. The Social media question asked about frequency of use with the question “How often do you use social media?”. The response options ranged from constantly to once a week or less. Items measuring Fear of Missing Out were included and incorporated the following five questions based on the APS Stress and Wellbeing in Australia Survey (APS, 2015). These were “When I have a good time it is important for me to share the details online; I am afraid that I will miss out on something if I don’t stay connected to my online social networks; I feel worried and uncomfortable when I can’t access my social media accounts; I find it difficult to relax or sleep after spending time on social networking sites; I feel my brain burnout with the constant connectivity of social media. Internal consistency for this measure was α = .81. Self compassion was measured using the 12-item short-form of the Self-Compassion Scale (SCS-SF; Raes et al., 2011). The data set has the option of downloading an excel file (composed of two worksheet tabs) or CSV files 1) Data and 2) Variable labels. References: Australian Psychological Society. (2015). Stress and wellbeing in Australia survey. https://www.headsup.org.au/docs/default-source/default-document-library/stress-and-wellbeing-in-australia-report.pdf?sfvrsn=7f08274d_4 Raes, F., Pommier, E., Neff, K. D., & Van Gucht, D. (2011). Construction and factorial validation of a short form of the self-compassion scale. Clinical Psychology and Psychotherapy, 18(3), 250-255. https://doi.org/10.1002/cpp.702 Spence, S. H. (1998). A measure of anxiety symptoms among children. Behaviour Research and Therapy, 36(5), 545-566. https://doi.org/10.1016/S0005-7967(98)00034-5

In 2022, high FOMO* users in Poland used social networking platforms in every situation and circumstance, regardless of the negative effects of this activity: during work (** percent), online lessons or lectures (** percent), or even when crossing the street (** percent). However, such behaviors were much less frequently observed among the general social networkers.

Social media use is ubiquitous during adolescence, and emerging research suggests an association with anxiety symptoms in some individuals. Two psychological constructs which may moderate this relationship are Fear of Missing Out (FoMO) and self-compassion. Higher FoMO tendencies may exacerbate the link between social media use and anxiety symptoms through greater fixation on social comparison, whereas higher self-compassion may weaken this link. The purpose of this study was to examine whether FoMO and self-compassion independently moderate the relationship between social media use and anxiety symptoms in adolescents. Participants included 951 adolescents (Mage = 13.69, SD = 0.72; 54% male). Online questionnaires assessed frequency of social media use, anxiety symptoms, FoMO, and self-compassion. FoMO moderated the relationship between social media use and anxiety, ΔR2 = .022, ΔF(1,945) = 26.26, p < .001. Increased social media use was associated with increased anxiety symptoms in adolescents high in FoMO and reduced anxiety for adolescents low in FoMO. Self-compassion was not a significant moderator. These findings have implications for social media use, public guidelines and clinical practice and support adoption of a discerning approach to adolescent’s social media use. What is already known about this topic:Whilst some studies demonstrate an association between social media use and anxiety, depression or self harm, other studies suggest social media is beneficial to wellbeing.Previous research suggests that Fear of Missing out mediates the association between anxiety and social media use.Self compassion is associated with less time spent on social media. Whilst some studies demonstrate an association between social media use and anxiety, depression or self harm, other studies suggest social media is beneficial to wellbeing. Previous research suggests that Fear of Missing out mediates the association between anxiety and social media use. Self compassion is associated with less time spent on social media. What this topic adds:This study identified students who are adversely affectedby social media use amongst Australian adolescents and differentiated them from students who derive some benefit from social media use.Students who were concerned by a fear of missing out showed that social media use was associated with increased levels of anxiety. Incontrast, for students who were not concerned with missing out, increased social media use was associated with reduced levels of anxiety.Self-compassion did not moderate the association between increased social media use and anxiety symptoms. This study identified students who are adversely affectedby social media use amongst Australian adolescents and differentiated them from students who derive some benefit from social media use. Students who were concerned by a fear of missing out showed that social media use was associated with increased levels of anxiety. Incontrast, for students who were not concerned with missing out, increased social media use was associated with reduced levels of anxiety. Self-compassion did not moderate the association between increased social media use and anxiety symptoms.

We investigate a popular but underresearched concept, the fear of missing out (FOMO), on desirable experiences of which an individual is aware, but in which they do not partake. Through laboratory and field studies, we establish FOMO’s pervasiveness as a psychological phenomenon, present real-life contexts wherein FOMO may be experienced, and explore its behavioral consequences. Specifically, we show that FOMO poses a threat to loyalty by decreasing one’s intentions to repeat a current experience and may decrease the valuation of the current experience.

This statistic illustrates the frequency of social media platform usage by internet users in Poland who are afraid of missing out on social networks as of March 2018. According to the survey, social networkers with high FOMO* declared more intensive use of social media platforms. Every******d respondent described their use as an intensive one, while the same declaration had been made by every****** person in the group of general social media users.

The data were collected from 309 young adults located in Delhi NCR by using convenience sampling.

This study investigates the determinants of news-sharing behavior among Generation Z users on social media in Vietnam by integrating three theoretical frameworks: Newsworthiness Theory, Uses and Gratifications Theory (U&G), and the Theory of Planned Behavior (TPB). A structural equation modeling approach (PLS-SEM) was employed to examine the relationships between perceived news value (social significance, audience relevance), user gratifications (information seeking, socializing, status seeking, entertainment, and pass-time), and psychological drivers such as Fear of Missing Out (FoMO). Data were collected from a stratified random sample of 1.224 high school and university students across six socio-economic regions. The results reveal that social significance, audience relevance, and most gratification-based motivations—excluding pass-time—significantly influence the intention to share news. FoMO was found to positively moderate the impact of information seeking and status seeking on sharing intention. Furthermore, intention to share news significantly predicted actual news-sharing behavior, with inattention to news credibility acting as a mediating factor. The findings underscore the importance of both content attributes and user psychology in shaping digital news sharing among youth. Practical implications are discussed for media organizations aiming to enhance engagement and credibility in the digital era.

This database is comprised of 603 participants who provided self-report data online in their school classrooms. The data was collected in 2016 and 2017. The dataset is comprised of 208 males (34%) and 395 females (66%). Their ages ranged from 12 to 15 years. Their age in years at baseline is provided. The majority were born in Australia. Data were drawn from students at two Australian independent secondary schools. The data contains total responses for the following scales: The Intolerance of Uncertainty Scale (IUS-12; Short form; Carleton et al, 2007) is a 12-item scale measuring two dimensions of Prospective and Inhibitory intolerance of uncertainty. Two subscales of the Children’s Automatic Thoughts Scale (CATS; Schniering & Rapee, 2002) were administered. The Peronalising and Social Threat were each composed of 10 items. UPPS Impulsive Behaviour Scale (Whiteside & Lynam, 2001) which is comprised of 12 items. Dispositional Envy Scale (DES; Smith et al, 1999) which is comprised of 8 items. Spence Children’s Anxiety Scale (SCAS; Spence, 1998) which is comprised of 44 items. Three subscales totals included were the GAD subscale (labelled SCAS_GAD), the OCD subscale (labelled SCAS_OCD) and the Social Anxiety subscale (labelled SCAS_SA). Each subscale was comprised of 6 items. Avoidance and Fusion Questionnaire for Youth (AFQ-Y; Greco et al., 2008) which is comprised of 17 items. Distress Disclosure Index (DDI; Kahn & Hessling, 2001) which is comprised of 12 items. Repetitive Thinking Questionnaire-10 (RTQ-10; McEvoy et al., 2014) which is comprised of 10 items. The Brief Fear of Negative Evaluation Scale, Straightforward Items (BFNE-S; Rodebaugh et al., 2004) which is comprised of 8 items. Short Mood and Feelings Questionnaire (SMFQ; Angold et al., 1995) which is comprised by 13 items. The Self-Compassion Scale Short Form (SCS-SF; Raes et al., 2011) which is comprised by 12 items. The subscales include Self Kindness, Self Judgment, Social Media subscales - These subscale scores were based on social media questions composed for this project and also drawn from three separate scales as indicated in the table below. The original scales assessed whether participants experience discomfort and a fear of missing out when disconnected from social media (taken from the Australian Psychological Society Stress and Wellbeing Survey; Australian Psychological Society, 2015a), style of social media use (Tandoc et al., 2015b) and Fear of Missing Out (Przybylski et al., 2013c). The items in each subscale are listed below. Pub_Share Public Sharing When I have a good time it is important for me to share the details onlinec On social media how often do you write a status updateb On social media how often do you post photosb Surveillance_SM On social media how often do you read the newsfeed On social media how often do you read a friend’s status updateb On social media how often do you view a friend’s photob On social media how often do you browse a friend’s timelineb Upset Share On social media how often do you go online to share things that have upset you? Text private On social media how often do you Text friends privately to share things that have upset you? Insight_SM Social Media Reduction I use social media less now because it often made me feel inadequate FOMO I am afraid that I will miss out on something if I don’t stay connected to my online social networksa. I feel worried and uncomfortable when I can’t access my social media accountsa. Neg Eff of SM I find it difficult to relax or sleep after spending time on social networking sitesa. I feel my brain ‘burnout’ with the constant connectivity of social mediaa. I notice I feel envy when I use social media.
I can easily detach from the envy that appears following the use of social media (reverse scored) DES_SM Envy Mean acts online Feeling envious about another person has led me to post a comment online about another person to make them laugh Feeling envious has led me to post a photo online without someone’s permission to make them angry or to make fun of them Feeling envious has prompted me to keep another student out of things on purpose, excluding her from my group of friends or ignoring them. Substance Use: Two items measuring peer influence on alcohol consumption were adapted from the SHAHRP “Patterns of Alcohol Use” measure (McBride, Farringdon & Midford, 2000). These items were “When I am with friends I am quite likely to drink too much alcohol” and “Substances (alcohol, drugs, medication) are the immediate way I respond to my thoughts about a situation when I feel distressed or upset. Angold, A., Costello, E. J., Messer, S. C., & Pickles, A. (1995). Development of a short questionnaire for use in epidemiological studies of depression in children and adolescents. International Journal of Methods in Psychiatric Research, 5(4), 237–249. Australian Psychological Society. (2015). Stress and wellbeing in Australia survey. https://www.headsup.org.au/docs/default-source/default-document-library/stress-and-wellbeing-in-australia-report.pdf?sfvrsn=7f08274d_4 Greco, L.A., Lambert, W. & Baer., R.A. (2008) Psychological inflexibility in childhood and adolescence: Development and evaluation of the Avoidance and Fusion Questionnaire for Youth. Psychological Assessment, 20, 93-102. https://doi.org/10.1037/1040-3590.20.2.9 Kahn, J. H., & Hessling, R. M. (2001). Measuring the tendency to conceal versus disclose psychological distress. Journal of Social and Clinical Psychology, 20(1), 41–65. https://doi.org/10.1521/jscp.20.1.41.22254 McBride, N., Farringdon, F. & Midford, R. (2000) What harms do young Australians experience in alcohol use situations. Australian and New Zealand Journal of Public Health, 24, 54–60 https://doi.org/10.1111/j.1467-842x.2000.tb00723.x McEvoy, P.M., Thibodeau, M.A., Asmundson, G.J.G. (2014) Trait Repetitive Negative Thinking: A brief transdiagnostic assessment. Journal of Experimental Psychopathology, 5, 1-17. Doi. 10.5127/jep.037813 Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in human behavior, 29(4), 1841-1848. https://doi.org/10.1016/j.chb.2013.02.014 Raes, F., Pommier, E., Neff, K. D., & Van Gucht, D. (2011). Construction and factorial validation of a short form of the self-compassion scale. Clinical Psychology and Psychotherapy, 18(3), 250-255. https://doi.org/10.1002/cpp.702 Rodebaugh, T. L., Woods, C. M., Thissen, D. M., Heimberg, R. G., Chambless, D. L., & Rapee, R. M. (2004). More information from fewer questions: the factor structure and item properties of the original and brief fear of negative evaluation scale. Psychological assessment, 16(2), 169. https://doi.org/10.1037/10403590.16.2.169 Schniering, C. A., & Rapee, R. M. (2002). Development and validation of a measure of children’s automatic thoughts: the children’s automatic thoughts scale. Behaviour Research and Therapy, 40(9), 1091-1109. . https://doi.org/10.1016/S0005-7967(02)00022-0 Smith, R. H., Parrott, W. G., Diener, E. F., Hoyle, R. H., & Kim, S. H. (1999). Dispositional envy. Personality and Social Psychology Bulletin, 25(8), 1007-1020. https://doi.org/10.1177/01461672992511008 Spence, S. H. (1998). A measure of anxiety symptoms among children. Behaviour Research and Therapy, 36(5), 545-566. https://doi.org/10.1016/S0005-7967(98)00034-5 Tandoc, E. C., Ferrucci, P., & Duffy, M. (2015). Facebook use, envy, and depression among college students: Is facebooking depressing? Computers in Human Behavior, 43, 139–146. https://doi.org/10.1016/j.chb.2014.10.053 Whiteside, S.P. & Lynam, D.R. (2001) The five factor model and impulsivity: using a structural model of personality to understand impulsivity. Personality and Individual Differences 30,669-689. https://doi.org/10.1016/S0191-8869(00)00064-7 The data was collected by Dr Danielle A Einstein, Dr Madeleine Fraser, Dr Anne McMaugh, Prof Peter McEvoy, Prof Ron Rapee, Assoc/Prof Maree Abbott, Prof Warren Mansell and Dr Eyal Karin as part of the Insights Project. The data set has the option of downloading an excel file (composed of two worksheet tabs) or CSV files 1) Data and 2) Variable labels.

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Fear of missing out and consumption-sharing behavior on social media: The moderating role of self-presentation desire and social network type

Real-time trading statistics and analytics for Fomoverse Token

The revenue of Fomo Worldwide, Inc. with headquarters in the United States amounted to 7.5 million U.S. dollars in 2022. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately 7.4 million U.S. dollars. The trend from 2020 to 2022 shows, furthermore, that this increase happened continuously.

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The total equity of Fomo Worldwide, Inc. with headquarters in the United States amounted to ********* thousand U.S. dollars in 2022. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2018 this is a total decrease by approximately 721.66 thousand U.S. dollars. The trend from 2018 to 2022 shows, however, that this decrease did not happen continuously.

This statistic provides information on the main reasons for using social media platforms by internet users in Poland who are afraid of missing out on social networks as of March 2018. According to the survey, the reasons for using social media sites indicated that at a general level they didn't differ from reasons for using most digital technologies. Among Polish internet users the percentage of people using social networking sites to find up-to-date information was at ** percent, to gain knowledge at ** percent, and as an entertainment at ** percent. For internet users who suffered from high FOMO* these indicators were noted at the higher levels of ** percent, ** percent and ** percent respectively.

BackgroundProblematic smartphone use (PSU) has become a common phenomenon among college students. Fear of missing out (FoMO) is an important factor affecting PSU, but how FoMO affects PSU is not clear. Therefore, the mediating effect of positive and negative metacognitions about smartphone use (PMSU and NMSU) and the moderating effect of optimism are explored.Methods514 Chinese college students aged 17 to 25 from 6 Chinese universities were investigated with the Trait-State FoMO Scale, the Metacognitions about Smartphone Use Questionnaire, the Temperament Optimism Scale, and the Smartphone Addiction Scale for College Students. The data were analyzed with SPSS software.ResultsFoMO was positively associated with PSU, PMSU and NMSU mediated this association. Optimism moderated the relationship between FoMO and PSU, i.e., FoMO had a less prominent positive effect on PSU for college students with a high level of optimism.ConclusionsThere is a positive relationship which exists between FoMO and PSU among college students. In addition, PMSU and NMSU play mediating roles in FoMO and PSU, and optimism plays an moderating role in FoMO and PSU. These findings can help not only educators understand the predictors of PSU and develop interventions to effectively prevent PSU among college students but also college students reduce the level of PSU by improving their understanding of PMSU and NMSU and optimism level.

The total assets of Fomo Worldwide, Inc. with headquarters in the United States amounted to ********* U.S. dollars in 2022. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2018 this is a total increase by approximately ********* U.S. dollars. The trend from 2018 to 2022 shows, however, that this increase did not happen continuously.

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In 2018, nearly ** percent of Polish school youth experienced a mild level of FOMO. It was highest among female respondents and lowest among elementary school pupils.