scholarly journals Selfie Behaviors and Personality Traits: More than Meets the Eye

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.

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.


2006 ◽  
Vol 27 (4) ◽  
pp. 208-217 ◽  
Author(s):  
Elizabeth Neustadt ◽  
Tomas Chamorro-Premuzic ◽  
Adrian Furnham

This study explores the relationships between the Big Five personality traits, self-esteem, and attachment orientation at work. A total of 248 working adults (165 female and 83 male) completed the revised form of the Neuroticism-Extraversion-Openness-Personality Inventory (NEO-PI-R; Costa & McCrae, 1992 ), a self-esteem scale ( Rosenberg, 1965 ) and a self-report measure of attachment at work ( Neustadt, Chamorro-Premuzic, & Furnham, in press ). Principal component analysis identified two major attachment factors, namely secure/autonomous and insecure, which were significantly correlated with self-esteem and all five personality factors (as well as specific subfacets). Regression analyses showed that between 15–20% of the variance in secure and insecure attachment at work could be explained by personality traits and self-esteem. Self-esteem partly mediated the link between Neuroticism and insecure attachment; however, most associations between personality and attachment could not be explained by self-esteem. Theoretical and applied implications 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):  
Ebenezer Larnyo ◽  
Baozhen Dai ◽  
Abigail Larnyo ◽  
Christabel Seyram Ankah

The relationship between eHealth adoption and life expectancy is complex. Research outcomes show different and contradictory results on this relationship. How and why eHealth adoption affect life expectancy is still to a large extent not clear. A causal link between the two is yet to be proven. Without such knowledge, effects of increase or decrease in eHealth adoption on life expectancy may be overestimated or underestimated. This study analyzes the relationship between life expectancy at birth and eHealth adoption in healthcare amongst five selected countries; 3 BRICS countries (China, Russia and South Africa), USA and Ghana, taking into account eHealth foundations, electronic health records, use of health eLearning in health sciences, social media and big data.</p> <p>This cross-sectional study analyzed WHO Global Survey on eHealth data of five selected countries collected between April and August 2015 by calculating and describing the bivariate correlation between the dependent variable and independent variables. A forward linear regression analysis is also applied to determine the predictive capability of the model.</p> <p>A significant negative correlation was observed between total health expenditure and eLearning overview, ICT development index rank and internet users and between life expectancy at birth and social media with coefficients of<em> rs = -0.95, p = .014, rs = -1.00, p < .001 and rs = -0.96, p < .001</em> respectively. Apart from social media indicator of eHealth’s eLearning overview that was significantly correlated with life expectancy at birth, no other correlation was observed between life expectancy at birth and any of the indicators of eHealth. The regression analysis of the predictors show a near perfect result of 100% predictive ability of the model. The study observed that countries that incorporated social media into their eHealth action, through the promotion of health messages on social media as a part of health promotion campaigns, managing patient appointments, sought feedback on services, made general health announcements on social media turn to have citizens that have a significant longer life expectancy. In order to realize high life expectancy of citizens, policy measures have to be directed towards investment in social media incorporation into eHealth strategies.


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.


2021 ◽  
Vol 01 (01) ◽  
pp. 1-32
Author(s):  
Ayesha Batool

This study was undertaken to (i) identify the relationship among personality traits, self-esteem and desire for fame and (ii) to explore the relationship of personality traits and self-esteem in prediction of desire for fame in TikTok makers. The sample was recruited through the snowball technique and consisted of 200 TikTok makers of Pakistan. The following internationally standardized scales were used: The Big Five Inventory, The Rosenberg Self-esteem Scale (1965) and The Desire for Fame Scale. A significant positive correlation was found between (1) openness, (2) extroversion, (3) agreeableness, (4) conscientiousness, (5) self-esteem and (6) desire for fame. Additionally, neuroticism correlated negatively with the six mentioned variables; and self-esteem significantly predicted desire for fame. Females scored higher in extroversion, agreeableness, conscientiousness and self-esteem; whereas males scored higher in neuroticism. Also, higher levels of self-esteem and desire for fame were found in those who had increased frequency of making TikTok videos and those who belonged to big cities. In conclusion, personality traits, self-esteem and desire for fame significantly correlate with each other in TikTok makers. Researchers, social media activists, students, psychologists, and counselors can benefit from the findings of study. Keywords: Personality Traits, Self-esteem, Desire for Fame, TikTok Makers.


Author(s):  
Ulla Bunz

This study investigates the relationship between social media use, Big Five personality traits, and subjective well-being to determine how different personality traits relate to different measures of social media use and well- being, and which variable influences well-being the most. Participants completed established measures for the Big Five personality traits, social media engagement, social media intensity, satisfaction with life, positive and negative affect, and depression. Results showed that extraversion predicted social media engagement and intensity, and social media time. Conscientiousness predicted spending less time on social media. In addition, conscientiousness, extraversion, agreeableness, and neuroticism predicted positive well-being stronger than did social media use. When conducting five separate regression analyses with a social media use variable and a different personality variable each time, four times (conscientiousness, extraversion, agreeableness, and neuroticism) the personality variable predicted negative well-being more strongly than did the social media use variable. However, negative well-being was predicted more strongly by social media use than by the fifth personality variable, openness to change. Results are discussed and possible future investigations are suggested.


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