Fear of Missing Out (FOMO) among youth in Bosnia and Herzegovina — Scale and selected mechanisms

Abstract

Internet addiction takes on different forms and is an important issue for diagnostic and preventive reasons. This paper sets out to diagnose the scale of problematic use of Internet (PIU) in the context of symptoms and mechanisms of FOMO (Fear of Missing Out). For this purpose, triangulation of the following research tools was applied: Social Media Intensity Scale, Fear of Missing Out Scale, Summary of Social Media Use, Social Media Usage Urges, the Bergen Facebook Addiction Scale. To picture the scale of FOMO and accompanying PIU behaviors, data from 717 students in Sarajevo and Mostar cantons (Bosnia and Herzegovina) were collected. The research was conducted in 2 nd half of 2017. Based on this data, we can see that about 20% of young respondents (average age of 13 years) show several FOMO symptoms, whereas another 30% belong are at risk of being addicted to Internet. The remaining 50% of students are not at risk of IAT. These criteria vary due to lack of unified tools to measure FOMO. However, it has been observed that FOMO is minimized by some forms of leisure activity and does not depend on gender.

Adaptation of fear of missing out scale (FoMOs): Turkish version validity and reliability study

“…Although the relationships between the FoMOs and other scales used in this study, and the time spent in the social media is within the expected directions in terms of negative or positive relationship, their magnitudes are smaller than the expected values. However, the medium positive relationship between Turkish FoMOs and Bergen Facebook Addiction Scale (r = .43, p < .01) is not too far from than the relationship between FoMOs and Bergen Facebook Addiction Scale (r = .56, p < .01) found in the study by Tomczyk and Selmanagic-Lizde (2018). The weak negative relationship between Satisfaction with Life Scale and Turkish version of the FoMOs (r = − .21, p < .01) is also similar to the relationship between FoMO and overall life satisfaction (r = − .24, p < .01) as posited in the original study of scale of Przybylski et al (2013).…”

“…As mentioned above, previous research has pointed out that the factors affecting FoMO and the variables affected by FoMO have been studied extensively. For example, FoMO has been associated with intensive social media use, such as social networking addiction (Blackwell, Leaman, Tramposch, Osborne, & Liss, 2017;Kuss & Griffiths, 2017;Tomczyk & Selmanagic-Lizde, 2018;Wang et al, 2018), the amount of stress experienced when using social networking sites (Beyens, Frison, & Eggermont, 2016), use of mobile phones while driving/ learning (Przybylski et al, 2013), social media fatigue (Bright & Logan, 2018), decreased self-esteem (Buglass, Binder, Betts, & Underwood, 2017), poor sleep (Adams et al, 2016), college maladjustment (Alt, 2018), smartphone addiction (Wolniewicz, Tiamiyu, Weeks, & Elhai, 2018), neuroticism (Blackwell et al, 2017), depression (Elhai, Levine, Dvorak, & Hall, 2016), anxiety (Blackwell et al, 2017;Elhai et al, 2016), and negative alcohol-related consequences (Riordan, Flett, Hunter, Scarf, & Conner, 2015).…”

Linking FOMO and Smartphone Use to Social Media Brand Communities

“…FOMO is a situation in which an individual is anxious or worried about missing out on an experience that is socially interactive [10]. Various studies have shown the superior persuasive effect FOMO has on influencing the behaviors of individuals towards engaging in online activities [10,[25][26][27][28][29]. The consumer-based brand equity model, and its extended model called the consumer based brand equity pyramid [30][31][32], suggest that when consumers' desired experiences (e.g., social interactions between social media users) are linked to a brand, they engage not only with the brand but also with other fellow users of the brand.…”

Digital competences of parents in the matter of electronic threats

“…Ability to participate intentionally in new media space requires taking advantage of the positive aspects of digital media, and protection against both, popular and less visible e-threats, such as: cyberbullying, [3]. Internet addiction and various forms of pathologic use of it, [15], sexting [7], self-control and self-evaluation in terms of using electronic media [1], protection of online image [4] or legal consequences of Internet abuse, [21]. These threats are only typical and the most common, negative results of SHS Web of Conferences 48, 01004 (2018) https://doi.org/10.1051/shsconf/20184801004 ERPA 2018 omnipresence of electronic media.…”