scholarly journals Unemployment, Personality Traits, and the Use of Facebook

2021 ◽  
Vol 13 (1) ◽  
pp. 56-72
Author(s):  
Dandison C. Ukpabi ◽  
Olayemi Olawumi ◽  
Oluwafemi Samson Balogun ◽  
Chijioke E. Nwachukwu ◽  
Sunday Adewale Olaleye ◽  
...  
Keyword(s):  
Social Support ◽  
Social Media ◽  
Regression Model ◽  
Personality Traits ◽  
Social Economic ◽  
Online Social Support ◽  
Unemployment Data ◽  
The Relationship ◽  
Practical Implications ◽  
The Way

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.

scholarly journals Citra Tubuh pada Remaja Pengguna Instagram

2019 ◽  
Vol 5 (2) ◽  
pp. 114
Author(s):  
Era Kurnia Aristantya ◽  
Avin Fadilla Helmi
Keyword(s):  
Social Support ◽  
High School ◽  
Social Media ◽  
Body Image ◽  
Female Adolescents ◽  
Male And Female ◽  
Online Social Support ◽  
Body Self ◽  
The Relationship ◽  
Image Difference

Adolescents are active social media user. There are various interactions  that happen in social media, social support is one of them. In Instagram, the interaction between users can be giving likes, comments, and sending direct messages. Meanwhile, high school adolescents (15—18 years old) have high preoccupation toward their body image. Thus, online social support is considered to have relationship with body image in adolescents Instagram’s user. The purpose of this research was to examine the relationship between online social support and adolescent’s body image. The subjects of this research were adolecents who lived in DI Yogyakarta, DKI Jakarta, Bandung, and Surabaya (n = 235). Body image was  measured using MBSRQ-AS (The Multidimensional Body-Self Relations Questionnaire-Appearance Scales) and online social support was measured using Social Support in Social Media Scale. The result of product moment analysis showed that online social support significantly correlated with adolescent’s body image (r = 0.261; p < 0.05). Further analysis found that there was body image difference between male and female adolescents (t = -2.104; p < 0.05). Age, location, access period, and the type of account followed did not have significant role on body image. In conclusion, adolescents need to have positive peer support.

Understanding the role of social media in online health: A global perspective on online social support

First Monday ◽  
2013 ◽  
Author(s):  
Roderick Lamar Lee ◽  
Lynette M. Kvasny
Keyword(s):  
Social Support ◽  
Social Media ◽  
Systems Design ◽  
Well Being ◽  
Global Perspective ◽  
Online Social Support ◽  
Mecp2 Duplication Syndrome ◽  
Being There ◽  
The Relationship

Around the globe, people are increasingly using social media for the provision of online social support. Online social support may be especially relevant for parents who have children that are afflicted with rare chronic diseases such as MECP2 Duplication Syndrome. Despite increasing evidence that online social support enhances a person’s psychological well-being, there is little research that seeks to understand how and why various forms of social media facilitate social support. This study develops a theoretical framework from the existing psychosocial and media theories that describes the relationship between social media and social support. This paper concludes with implications for health information systems design.

Social Support as a Mediator of the Personality-Physical Functioning Relationship in a National Sample of African Americans: A Two-Wave Longitudinal Study

2021 ◽  
pp. 009579842110379
Author(s):  
Eddie M. Clark ◽  
Lijing Ma ◽  
Beverly R. Williams ◽  
Crystal L. Park ◽  
Cheryl L. Knott ◽  
...  
Keyword(s):  
Social Support ◽  
African Americans ◽  
Personality Traits ◽  
Physical Functioning ◽  
Factor Model ◽  
Five Factor Model ◽  
Healthcare Providers ◽  
National Sample ◽  
National Probability Sample ◽  
The Relationship

The present study investigates whether social support mediates the relationship between personality traits and physical functioning among African Americans over 2.5 years. Data were collected from a national probability sample of African American adults (analytic sample N = 312). Telephone surveys included measures of the five-factor model personality traits, social support, and physical functioning. Personality traits were assessed at Time 1 (T1), and social support and physical functioning were assessed 2.5 years later at Time 2 (T2). Physical functioning was assessed using the SF-12 at T2. Results indicated that T2 social support mediated the relationship between T1 personality traits and T2 physical functioning for the traits of conscientiousness, extraversion, agreeableness, and neuroticism, but not for openness to experience. This information may be useful to healthcare providers and community members in developing strategies targeting personality traits in cultivating social support for health promotion.

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

2020 ◽  
Vol 13 (1) ◽  
pp. 223-231
Author(s):  
Alexandra M. Mihailescu
Keyword(s):  
Social Media ◽  
Personality Traits ◽  
Digital Media ◽  
Linear Regression Analysis ◽  
Univariate Analysis ◽  
Significant Negative Correlation ◽  
Self Esteem ◽  
Big Five Personality ◽  
Multivariate Linear Regression Analysis ◽  
The Relationship

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.

Unraveling the links between active and passive social media usage and seniors' loneliness: a field study in aging care communities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shufang Yang ◽  
Lin Huang ◽  
Yanli Zhang ◽  
Pengzhu Zhang ◽  
Yuxiang Chris Zhao
Keyword(s):  
Social Support ◽  
Social Media ◽  
Field Study ◽  
Social Comparison ◽  
Social Presence ◽  
Equation Modeling ◽  
Content Type ◽  
Media Usage ◽  
Health And Social Care ◽  
The Relationship

PurposeThe literature reports inconsistent findings about the effects of social media usage (SMU). Researchers distinguish between active and passive social media usage (ASMU and PSMU), which can generate different effects on users by social support and social comparison mechanisms, respectively. Drawing on social presence theory (SPT), this study integrates an implicit social presence mechanism with the above two mechanisms to explicate the links between SMU and seniors' loneliness.Design/methodology/approachData were collected from a field study by interviewing seniors living in eight aging care communities in China. Loneliness, social media activities and experiences with social media in terms of online social support (OSS), upward social comparison (USC) and social presence (SP) were assessed. Factor-based structural equation modeling was used to analyze the data.FindingsOSS can mediate the relationship between ASMU and seniors' loneliness. Moreover, SP mediates between ASMU, PSMU, and seniors' loneliness, and between OSS, USC and seniors' loneliness. OSS mediates the relationship between ASMU and SP, and USC mediates the relationship between PSMU and SP.Practical implicationsThis study shows that social media can alleviate seniors' loneliness, which could help relieve the pressures faced by health and social care systems. Social presence features are suggested to help older users interact with social health technologies in socially meaningful ways.Originality/valueThis study not only demonstrates that SP can play a crucial role in the relationship between both ASMU and PSMU and loneliness, but also unravels the links between SP and OSS, as well as USC.

Analyzing Online Social Support Within the Type 1 Diabetes Community

2018 ◽  
pp. 59-84 ◽  
Author(s):  
Kristin G. Maki ◽  
Aisha K. O'Mally
Keyword(s):  
Social Support ◽  
Social Media ◽  
Type 1 Diabetes ◽  
Heart Disease ◽  
Health Outcomes ◽  
Chronic Illnesses ◽  
Informational Support ◽  
Online Social Support ◽  
Social Media Platforms

Social support has been linked with many health outcomes, ranging from heart disease to depression. Although its importance has been recognized, less is known about how individuals with chronic illnesses may use social media to provide and seek social support. This chapter's focus is on the way in which people with Type 1 diabetes (T1D) use social media to provide and solicit social support. A mixed-methods approach is utilized. First, posts from two social media platforms were qualitatively content analyzed. Second, the data were quantitatively analyzed to provide a finer-grained understanding of the messages. The results show informational support as the most prevalent on both sites, although there are some differences in content and use. This chapter's implications highlight the importance of social media as a conduit for social support among caregivers and individuals affected by T1D.

Weak Ties and Value of a Network in the New Internet Economy

2017 ◽  
pp. 66-84 ◽  
Author(s):  
Davide Di Fatta ◽  
Roberto Musotto ◽  
Vittorio D'Aleo ◽  
Walter Vesperi ◽  
Giacomo Morabito ◽  
...  
Keyword(s):  
Social Media ◽  
Social Network ◽  
Virtual Network ◽  
The Internet ◽  
Rapid Rise ◽  
A Value ◽  
Internet Economy ◽  
The Relationship ◽  
Practical Implications ◽  
Scholarly Attention

The rapid rise in internet economy is reflected in increased scholarly attention on the topic, with researchers increasingly exploring the marketing approaches and strategies now available through social media. The network provides a value for companies, thus becomes essential acquire greater awareness to evaluate and quantify its value. What are practical implications for managers? Social network analysis is nowadays an essential tool for researchers: the aim of this chapter is to extend the internet economy research to network theories. Today, there are emerging observations on the global internet economy, but there is a big gap in literature indeed. At first, literature focused on people. Now, on digitalized information. Firms are connected in a virtual network and there are undefined distances in terms of space and time. Traditional methods of analysis are no more efficient: to analyze the relationship in the network society, we need a different paradigm to approach network issue.

Impact of Personality Traits on Risk Tolerance and Investors' Decision Making

2019 ◽  
Vol 8 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Misbah Sadiq ◽  
Hareem Amna
Keyword(s):  
Personality Traits ◽  
Big Five ◽  
Descriptive Analysis ◽  
Investment Decisions ◽  
Risk Tolerance ◽  
Primary Data ◽  
Individual Investors ◽  
Confirmatory Factor ◽  
The Relationship ◽  
Practical Implications

This article investigates the relationships between personality traits, risk tolerance, and investment decisions and highlights the importance of personality traits in determining risk tolerance levels and investment decisions. Personality traits are classified according to the Big Five taxonomy: extroversion, agreeableness, conscientiousness, neuroticism and openness to experience. Primary data was collected from 330 individual investors from Islamabad. Descriptive analysis of the data was run on SPSS, reliability of the constructs was assessed through Confirmatory Factor Analysis (CFA), whereas, Structural Equational Modelling (SEM) was used to conduct hypothesis testing through path analysis. As per the results of CFA, the constructs were found to be reliable. Mediation analysis confirmed that risk tolerance partially mediated the relationship between personality traits and investment decisions. This study and results have theoretical and practical implications for the investors, financial planners and managers.

scholarly journals Posting About Cancer: Predicting Social Support in Imgur Comments

2020 ◽  
Vol 6 (4) ◽  
pp. 205630512096520
Author(s):  
Brent J. Hale ◽  
Ryan Collins ◽  
Danielle K. Kilgo
Keyword(s):  
Social Support ◽  
Social Media ◽  
Online Support ◽  
Support Provision ◽  
Coping With Cancer ◽  
Social Media Site ◽  
Social Media Platforms ◽  
Use Of Social Media ◽  
The Relationship ◽  
Previous Scholarship

People who are affected by cancer can benefit greatly from social support and digital social networks, though our understanding of online support is primarily founded in dominant platforms like Facebook. In addition, while previous scholarship indicates that social support is available online, little research has examined predictors of support provision. A content analysis was performed to examine the relationship between narrative features in Imgur posts and social support in comments. Imgur ( Imgur.com ) is a social media site and image-hosting platform, amassing over 250 million monthly visitors. Six post features were hypothesized to predict support, including explanations of the diagnosis experience, evidence of agentive problem solving, indications of positive reappraisal, pleads for the audience to get a checkup, references to mortality, and inclusion of humor. The results of this study indicate a relationship between narrative construction and social support, finding that the inclusion of narrative features in cancer-related posts influenced the provision of support in comments. Findings of this study could have implications for a multitude of stakeholders interested in social support provision, including healthcare professionals and researchers interested in the use of social media platforms for support, and organizations interested in designing supportive online platforms for individuals coping with cancer.

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