scholarly journals Is the Global Pandemic Driving Me Crazy? The Relationship Between Personality Traits, Fear of Missing Out, and Social Media Fatigue During the COVID-19 Pandemic in Nigeria

Author(s):  
Jola-ade Ashiru ◽  
Dokun Oluwajana ◽  
Oghenerume Shabeth Biabor
2020 ◽  
Vol 13 (1) ◽  
pp. 223-231
Author(s):  
Alexandra M. Mihailescu

Background: Selfies are a rising phenomenon associated with the widespread use of smartphones and social media. The objective of this study was to evaluate the relationship between different personality traits and selfie behaviors. Methods: Undergraduate psychology students were asked to complete a questionnaire about their frequency of selfie taking, selfie posting to social media, and selfie sharing through private messaging. They were also asked to complete the Rosenberg 10-item self-esteem scale and the International Personality Item Pool (IPIP)-50 item scale to evaluate the Big Five personality traits. Results: A total of 96 participants were included in this study (mean age ± standard deviation of 26.4 ± 9.0 years, 81.3% women). On univariate analysis there was a significant negative correlation between the frequency of selfie taking (Spearman r = -0.228, p = 0.025) or posting (Spearman r = -0.238, p = 0.025) and emotional stability. However, on multivariate linear regression analysis adjusting for age among other factors, only self-esteem was independently and negatively correlated with the frequency of selfie taking (beta = -0.206, p = 0.020) or posting (beta = -0.233, p = 0.020), with the effect most notable in young (<25 years) individuals for selfie taking. Extraversion was independently and positively correlated with the frequency of selfie sharing (beta = 0.264, p = 0.005), with the effect most notable in young (<25 years) women. Conclusion: Findings from this study further expand our knowledge of the relationship between different personality traits and rising digital media phenomena.


2020 ◽  
pp. 003329412093618
Author(s):  
Kelly Moore ◽  
Georgiana Craciun

With the exponential increase in the number of social networking sites (SNS) users, there is also a significant shift in the popularity of these SNS. Moreover, fear of missing out (FOMO) is often blamed for the growth in SNS addictive tendencies. The current research examines the influence of FOMO and Big 5 personality traits on SNS attitudes, usage, and addictive tendencies in the context of an increasingly popular SNS – Instagram. Participants completed online questionnaires that assessed their personality traits and then be-friended one of the researchers on Instagram, which provided the actual Instagram activity data (e.g., total number of Instagram posts, total number of likes, etc.). Hierarchical regression results showed that personality factors explained significant amounts of variance in terms of attitude towards Instagram, number of likes, total number of Instagram posts since account inception, and social media addictive tendencies. Furthermore, FOMO had a significant positive effect on attitude toward Instagram, the total number of Instagram accounts that respondents followed, and social media addictive tendencies.


2017 ◽  
Vol 14 (3) ◽  
pp. 2219 ◽  
Author(s):  
Mehmet Bilgin ◽  
Asena Yılmaz

The aim of the research, is to examine the relationship between adolescents' five-factor personality features by use of Social Media. As for sample, there are 548 girl and 441 boy students and they are between the ages of 11-18.  Adolescents’ data participating in the study, are determined by Big Five Factor personality traits Scale. Prepared data on the use of social media called "Personal Information Form" has been obtained by researcher. In the analysis of data, understanding of social media use times whether it differs according to big five personality traits, According to the social media using time, there was no significant difference between the agreeableness and openness subscales. On the other hand, there is a significant differences between conscientiousness, extraversion and neuroticism.  In association with five personality traits of social media purpose, it was found that there are significant differences with different personality traits for each purpose.


2018 ◽  
Vol 11 (1) ◽  
pp. 163-170 ◽  
Author(s):  
Phil Reed ◽  
Nazli I. Bircek ◽  
Lisa A. Osborne ◽  
Caterina Viganò ◽  
Roberto Truzoli

Background: Little is known about the temporal directionality of relationships between problematic internet use and personality disorders such as narcissism. Objective: Although these two constructs are related at a single time, no existent study has determined whether initial problematic internet use is more strongly associated with subsequent narcissism, or vice versa. So, the aim of the research is to verify if problematic internet use predicts the narcissism or vice versa. Methods: Seventy-four university student participants were studied over a four-month period, and completed the Narcissism Personality Inventory, and Problematic Internet Use Questionnaire, at baseline and follow-up. Results: The results demonstrated a relationship between problematic internet use and narcissism at baseline. Time-lagged correlations demonstrated that problematic internet use at baseline was positively related to narcissism four-months later, but not vice versa for social media users whose use was primarily visual. This relationship did not hold for social media users whose use was primarily verbal. Conclusion: These results suggest that problematic internet use may serve to discharge narcissistic personality traits for those who use social media in a visual way, but not for those who do not engage in that form of internet use.


2021 ◽  
Vol 13 (1) ◽  
pp. 56-72
Author(s):  
Dandison C. Ukpabi ◽  
Olayemi Olawumi ◽  
Oluwafemi Samson Balogun ◽  
Chijioke E. Nwachukwu ◽  
Sunday Adewale Olaleye ◽  
...  

Different personality traits respond differently to unfavourable life situations. Unemployment can have several negative social, economic, and domestic consequences. Many people use social media for a variety of reasons. The aim of this study is to examine the way different personality traits respond to Facebook in the period of unemployment. Data was obtained from 3,002 unemployed respondents in Nigeria. The study used regression model to analyse the data. Among the five personality traits, results indicated that the relationship between neuroticism and online social support was negative. However, the relationship between online social support and satisfaction was positive. The study highlights several theoretical and practical implications.


2021 ◽  
Vol 7 (2) ◽  
pp. 252
Author(s):  
Ayse Demir ◽  
Arif Çetin

The impact of communication on individuals and the masses is undeniable. Now, every domain of daily life is influenced by the power of communication thanks to developing technology. The present study aimed to explore the relationship between fear of missing out (FoMO) and compulsive online shopping and investigate the mediator role of social media addiction on this relationship. The sample consisted of randomly selected 205 sports volunteers, 77 females (37.6%) and 128 males (62.4%), taking part in the 16th NKolay Istanbul Half Marathon on April 4, 2021. We collected the data using the “Fear of Missing Out” scale (FoMOS) consisting of 10 items within a subscale, the “Social Media Addiction” scale (SMAS) composed of 20 items within two subscales, and the “Compulsive Online Shopping” scale (COSS) consisting of 28 items within five subscales. We sought answers for seven hypotheses in the study employing a correlational design. The results confirmed our three hypotheses, partially confirmed two hypotheses, rejected the other two hypotheses. We determined that the SMAS were positively correlated with the FoMOS and the COSS. In addition, the FoMOS was positively correlated with the COSS. On the other hand, we concluded that social media addiction partially mediated the relationship between fear of missing out (FoMO) and compulsive online shopping among our participants. While virtual communication had a mediating effect on this relationship, it was not the case for virtual tolerance.


Author(s):  
David M Markowitz

Abstract Evidence published nearly 20 years ago suggested people tell more lies per social interaction via synchronous, distributed, and recordless media (the phone) versus relatively richer (face-to-face communication) and leaner media (email, instant messaging). With nontrivial changes to the size and variety of our media landscape, it is worth re-examining the relationship between deception and technology. Over 7 days, 250 participants reported their social interactions and lies across face-to-face communication, social media, texting, the phone, video chat, and email. Replicating Hancock, Thom-Santelli, and Ritchie (2004), people told the most lies per social interaction over synchronous, distributed, and recordless media (the phone, video chat), though the effects were small and between-person effects explained more variance than between-media effects. Lying rates were also associated with aversive personality traits, plus antisocial, and relational deception motives. Together, while media options have evolved, technological design features often remain stable and indicate deception rates. Theoretical contributions are discussed.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xizhu Xiao ◽  
Yan Su

PurposeNews consumption is critical in creating informed citizenry; however, in the current context of media convergence, news consumption becomes more complex as social media becomes a primary news source rather than news media. The current study seeks to answer three questions: why the shifted pattern of news seeking only happens to some but not all of the news consumers; whether the differentiated patterns of news seeking (news media vs social media) would result in different misinformation engagement behaviors; and whether misperceptions would moderate the relationship between news consumption and misinformation engagement.Design/methodology/approachA survey consisted of questions related to personality traits, news seeking, misperceptions and misinformation engagement was distributed to 551 individuals. Multiple standard regression and PROCESS Macro model 1 were used to examine the intricate relationships between personality, news use and misinformation engagement.FindingsResults indicate that extroversion was positively associated with social media news consumption while openness was inversely related to it. Social media news consumption in turn positively predicted greater misinformation sharing and commenting. No association was found between Big Five personality traits and news media news seeking. News media news seeking predicted higher intention to reply to misinformation. Both relationships were further moderated by misperceptions that individuals with greater misperceptions were more likely to engage with misinformation.Originality/valueThe current study integrates personality traits, news consumption and misperceptions in understanding misinformation engagement behaviors. Findings suggest that news consumption via news media in the digital era merits in-depth examinations as it may associate with more complex background factors and also incur misinformation engagement. Social media news consumption deserves continuous scholarly attention. Specifically, extra attention should be devoted to extrovert and pragmatic individuals in future research and interventions. People with these characteristics are more prone to consume news on social media and at greater risk of falling prey to misinformation and becoming a driving force for misinformation distribution.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2021-0520


Author(s):  
Gokalp Mavis ◽  
Ismail Hakki Toroslu ◽  
Pinar Karagoz

According to the psychology literature, there is a strong correlation between the personality traits and the linguistic behavior of people. Due to increase in computer based communication, individuals express their personalities in written forms on social media. Hence, social media became a convenient resource to analyze the relationship between the personality traits and the lingusitic behaviour. Although there is a vast amount of studies on social media, only a small number of them focus on personality prediction. In this work, we aim to model the relationship between the social media messages of individuals and Big Five Personality Traits as a supervised learning problem. We use Twitter posts and user statistics for analysis. We investigated various approaches for user profile representation, explored several supervised learning techniques, and presented comparative analysis results. Our results confirm the findings of psychology literature, and we show that computational analysis of tweets using supervised learning methods can be used to determine the personality of individuals.


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