Personality and motivations associated with Facebook use

The effect of personality traits on over-the-top service use and binge-watching

With the freedom to consume content on preferred devices at any time as long as there is an Internet connection, the growing demand for over-the-top (OTT) services is evident. In conjunction with the rise of OTT services, binge-watching has become a prevalent behavior. In this research, we explore whether personality traits including the Big Five and need for cognition wield an effect on OTT use and binge-watching. We used a large, diverse, population representative sample from South Korea to investigate this topic. Results indicated that openness to experience and need for cognition were positively related to OTT use. Openness to experience, emotional stability, conscientiousness, and need for cognition had a negative association with binge-watching. When the sample was split by OTT frequency, the binge-watching effects were obtained exclusively for daily OTT users. For non-daily OTT users, most of the personality traits did not exert an effect on binge-watching. Implications of the current findings as well as limitations and future research are presented.

New Addictions in Late Adolescence and Emerging Adulthood: How Attachment Style May Predict Problematic Use of Social Networks and Binge-Watching

As behavioral addictions (BAs) significantly affect well-being, paying attention to the characteristics associated with their onset is relevant. Current studies suggest that BAs should be addressed from an adaptive-maladaptive continuum perspective to define what and how some behaviors became problematic. The multi-faceted nature of behaviors attributed to possible BA involves psychological and individual backgrounds (e.g., attachment style). Given its role in affecting personality processes, social development, and motivational drives, the attachment style would be involved in addiction-like behaviors from adolescence, defined as a critical period for BA onset. This study analyzed the association between the attachment dimensions and two possible BAs that can be included in an adaptive-maladaptive continuum (i.e., social network use and TV series watching). A sample consisting of 493 late adolescents/emerging adults (age range: 18-24) completed questionnaires assessing social network use, TV series watching, and attachment style. The results showed a positive association between problematic attachment styles and BAs. High worry and need for relationships (anxious attachment) would be risk factors for problematic social network use and relationships as secondary (avoidant attachment) would be a risk factor for problematic TV series watching. These findings suggest the importance of further analyzing the role of attachment styles and their dimensions in influencing behavioral expression early to prevent the occurrence of BA.

The Bumble motivations framework- exploring a dating App's uses by emerging adults in India

Researchers have called for a better understanding of the differing motivations of dating app users. Whereas these have been described for Tinder, Grinder and Hinge in the Anglosphere, no research examples could be found for Indian users of Bumble. In response, this paper's pathfinder study helps close the gap by developing a Bumble motivation scale. Six primary motivations for using Bumble were identified through the exploratory factor analysis: Love, Socialisation, Ease of communication, Distraction, Trendiness, and Sexual experience. Notably, socialisation and love motivations emerged as more significant drivers for Bumble usage than sexual experiences, which contrasted with prior findings on dating apps. Additionally, age and biological sex differences were observed in the motivations reported by the participants. Men were more likely to use Bumble for sexual experiences, while women were more motivated by ease of communication. Furthermore, age was found to positively relate to motivations linked to love, distraction, trendiness, and sexual experiences. Moreover, the motivations of Love, socialisation, and trendiness were found to positively predict the frequency of Bumble usage. Among these motivations, Love, socialisation, and trendiness emerged as significant predictors of offline dating behaviour among the participants. These findings contribute to a better understanding of the factors influencing the adoption and engagement with Bumble among emerging adults in India. The implications of these findings may aid in refining dating app features and marketing strategies targeted at this specific demographic.

Balancing perceptions of targeting: An investigation of political microtargeting transparency through a calculus approach

Over the last few years, political advertisers have moved with their audiences: to social media platforms. Advertisers on these platforms aim to persuade voters by sending messages tailored to them based on their own data: political microtargeting (PMT). A considerable problem with PMT is that users are often unaware that they are being targeted, while current transparency advances do not seem to suffice in informing users. However, increasing transparency may have consequences on users' privacy perceptions. Thus, the current work investigates whether disclosures, as a measure to increase transparency, increase users' recognition of a microtargeted ad, and subsequently what this means for their perceived benefits, privacy concerns, and their likelihood of engaging in privacy protection behavior, based on the privacy calculus. In a preregistered online one-factorial between-subjects experiment (N = 450) we exposed participants to either an Instagram post containing a currently used disclosure or a more salient disclosure. Our results show that exposure to this disclosure increases recognition of the ad being microtargeted, and that this relates to perceived benefits but not privacy concerns. However, the results show that users' privacy concerns are related to their increased privacy protection behavior. Finally, we found that over four-fifths of our participants who were exposed to the more salient disclosure recalled it correctly.

Crimes without a body: reflections on a case series of online crimes

There is a large volume of online crimes. The aim of this work is to reflect on virtual crimes that are apparently different but actually have commonalities. In these cases, the corporeal sphere that mediates interpersonal relationships is absent, and perceptions of the real world and emotional regulation may be altered, which poses the risk of destructive behaviours. From this standpoint, self/hetero-directed aggression is the result of a certain type of transition from the real to the virtual world, where the body either is not involved at all or is experienced in an aberrant manner. In this study, we present three cases that clearly illustrate this concept.

The relationship between openness and social anxiety: the chain mediating roles of social networking site use and self-evaluation

BACKGROUND

As social networking sites (SNSs) with diverse functions gradually become an important social place for modern people, openness, as a personality trait that represents the willingness to consider diverse things, will be more likely to affect people's cognitive and emotional experience (e.g., social anxiety) in social interactions. This study examined the relationship between openness and social anxiety and the underlying psychological mechanism in the internet age based on the cognitive-behavioral model of social anxiety.

METHODS

This cross‑sectional survey study conducted a questionnaire survey of 522 college students from two provinces in China (191 male; age range 18-25; M = 20.76, SD = 1.34).

RESULTS

The results showed that openness is negatively related to social anxiety. Self-evaluation and passive SNS use independently mediate the relationship between openness and social anxiety, respectively. Moreover, openness is associated with social anxiety both through the chain mediating roles of active SNS use and self-evaluation and through the chain mediating roles of passive SNS use and self-evaluation.

CONCLUSIONS

Openness is negatively associated with social anxiety, and the different ways of SNS use and self-evaluation are the underlying mechanisms. These results provide insights into the clinical treatment of social anxiety and how to benefit from online interactions.

Negative psychological and physiological effects of social networking site use: The example of Facebook

Social networking sites (SNS), with Facebook as a prominent example, have become an integral part of our daily lives and more than four billion people worldwide use SNS. However, the (over-)use of SNS also poses both psychological and physiological risks. In the present article, we review the scientific literature on the risk of Facebook (over-)use. Addressing this topic is critical because evidence indicates the development of problematic Facebook use ("Facebook addiction") due to excessive and uncontrolled use behavior with various psychological and physiological effects. We conducted a review to examine the scope, range, and nature of prior empirical research on the negative psychological and physiological effects of Facebook use. Our literature search process revealed a total of 232 papers showing that Facebook use is associated with eight major psychological effects (perceived anxiety, perceived depression, perceived loneliness, perceived eating disorders, perceived self-esteem, perceived life satisfaction, perceived insomnia, and perceived stress) and three physiological effects (physiological stress, human brain alteration, and affective experience state). The review also describes how Facebook use is associated with these effects and provides additional details on the reviewed literature, including research design, sample, age, and measures. Please note that the term "Facebook use" represents an umbrella term in the present work, and in the respective sections it will be made clear what kind of Facebook use is associated with a myriad of investigated psychological variables. Overall, findings indicate that certain kinds of Facebook use may come along with significant risks, both psychologically and physiologically. Based on our review, we also identify potential avenues for future research.

HEXACO Personality Factors and their Associations with Facebook use and Facebook Network Characteristics

Personality factors affect the properties of 'offline' social networks, but how they are associated with the structural properties of online networks is still unclear. We investigated how the six HEXACO personality factors (Honesty-Humility, Emotionality, Extraversion, Agreeableness, Conscientiousness and Openness to Experience) relate to Facebook use and three objectively measured Facebook network characteristics - network size, density, and number of clusters. Participants (n = 107, mean age = 20.6, 66% female) extracted their Facebook networks using the GetNet app, completed the 60-item HEXACO questionnaire and the Facebook Usage Questionnaire. Users high in Openness to Experience spent less time on Facebook. Extraversion was positively associated with network size (number of Facebook Friends). These findings suggest that some personality factors are associated with Facebook use and the size of Facebook networks, and that personality is an important influence on both online and offline sociality.

Exploring users' content creation and information dissemination behavior in social media: The moderating effect of social presence

Users' personality traits reveal different social media behavior characteristics. In order to explore the intrinsic relationships between personality traits and social media behavior, this study analyzes the influence of users' personality traits on social media content creation and information dissemination behavior, as well as the moderating effect of social presence. We collect users' personality data via questionnaires, crawl social media behavior data of samples from social media sites, and then establish regression models to test the research hypotheses. The results show that extraversion has a positive impact on content creation and information dissemination behavior, conscientiousness has a negative impact on content creation behavior, openness and agreeableness have no significant impact on social media behavior, and social presence has significant moderating effects on the relationships between personality traits and social media behavior.

Morningness-Eveningness and Problematic Online Activities

Online activities and problematic online behaviors have recently emerged as important research topics. However, only a few studies have explored the possible associations between these behaviors and morningness-eveningness. The authors examined whether eveningness predicts these distinct problematic online behaviors differently and directly or via mediators. The associations between eveningness and three different problematic online behaviors (problematic Internet use, problematic online gaming, and problematic social media use) were explored among a large sample of Hungarian young adults (N = 1729, 57.2% female, Mage = 22.01, SDage = 1.97) by using a self-report survey. Depression and the time spent engaging in online activities were assessed as possible mediators. The effects of age and sex were controlled for. Using structural equation modeling, the results supported the association between eveningness and the higher risk for all three problematic online behaviors and highlighted that these associations were mediated by depressive mood and time spent on the activities. In addition, eveningness also predicted PIU directly. Eveningness is a risk factor for problematic online behaviors not only because of the higher amount of time spent on the activities but also because of the worse mood associated with eveningness. The results highlight that it is important to examine the different types of online activity separately and explore the role of diverse risk factors, among them morningness-eveningness.

The Intersection of Personality Traits and Social Media Usage: Large-Scale Representative Samples of Internet Users in Sweden

This paper aims to explore the relationship between the Big Five model of personality traits and social media usage in a Swedish context. The paper consists of three representative studies of the Swedish population in the age range 16 to 85. In Study 1 (N = 6542), the Big Five personality factors were measured by HP5i. In Study 2 (N = 3322) and Study 3 (N = 3302), the Big Five personality factors were measured by BFI-10. Different personality inventories and time periods for data collection were the basis for the breakdown of the studies. In all three studies, social media usage was measured by a self-reported estimation of frequencies. For each study, correlation matrixes between the study variables were first presented, followed by hierarchical regression analyses to test if personality factors predicted internet users’ social media usage. Gender and age were control variables. Over and above the effects of gender and age, all three studies found that social media usage is positively associated with extraversion. The first two studies also found that social media usage is associated with a high degree of openness to experiences and a low degree of conscientiousness. The reliability of the findings is strengthened through different personality inventories, large-scale representative samples of the Swedish population, and replications over time. However, since personality and social media usage vary between different cultures and time periods, caution should be taken in generalizing the results.

The mechanisms that make social media effective in building citizens’ trust on local government

Purpose

Focusing on municipalities, this study aims to examine whether citizens’ engagement with local public administration activities on Facebook can have a positive effect on citizens’ trust.

Design/methodology/approach

Using data from 333 citizens and resorting to structural equation modelling, a conceptual model is tested.

Findings

The results show that communicating directly with citizens through social media can enhance the citizens’ involvement in social issues and their identification with their city council. The effect of citizen engagement on trust propensity is mediated by citizens’ identification with the city council and by citizens’ involvement in social issues.

Practical implications

The study provides a conceptual model that can be used by practitioners to improve practices that enhance citizen engagement and build trust in the local government. City councils should promote activities on social media that encourage identification and citizens’ involvement. Furthermore, the findings suggest that municipalities can increase trust by involving citizens in social issues.

Originality/value

This study contributes to a better understanding of the government social media phenomenon, highlighting and empirically testing the effect of citizen engagement on institutional trust. In doing so, a process to build citizens’ trust in their city council through social media is unpacked. The findings show that communicating directly with citizens through social media can enhance the citizens’ involvement in social issues and their identification with the city council. The important role of identification to build institutional trust is emphasized.

The influence of intrinsic and extrinsic motivational factors on e-WOM behaviour: The role of psychological impact during the time of COVID-19 crisis

This investigation unearths the trait antecedents of intrinsic and extrinsic motivational drivers and their consequences on attitude towards e-WOM of social mobile app users. Additionally, this study attempts to explore the moderating role of psychological impact on attitude towards e-WOM when COVID-19 is ravaging the world. Following the descriptive research method, the survey was carried out among convenience sample respondents of 627 social mobile app users. The outcome brought out that extraversion had a favourable influence on opinion leadership, customer engagement, and self-expression for sharing consumption related information during the pandemic. Likewise, materialism also had a strong effect on self-expression. Nonetheless, extraversion and materialism failed to affect self-presentation motives. And, self-presentation was observed influencing attitude towards e-WOM negatively. The outcome of the study demonstrates that individuals with high psychological impact have a strong motivation to involve in customer engagement to participate in e-WOM communication. Motivational drivers such as self-expression, opinion leadership, and customer engagement had a significant effect on attitude towards e-WOM for the whole sample analysis. This investigation contributes to existing literature of e-WOM behaviour and widens the scope of self-presentation theory, social exchange theory, theory of planned behaviour etc. Finally, this research also assists marketers and practitioners to take better decision-making on developing a social media advertising and campaign using the framework.

An Assessment of Personality Traits Based on Photos on Instagram

This study analyses the accuracy assessment of personality traits based on photos on the Instagram social network. The theoretical starting point is the Realistic Accuracy Model based on the correct detection and interpretation of information about individuals. The research sample consisted of a group of participants who provided their Instagram profiles for assessment (N = 4) aged M = 23.0, SD = 1.63 and a group of independent assessors (N = 342; 258 women). The accuracy of the assessment was based on the assessors' consensus and the degree of agreement between assessors and the accuracy criterion. The highest assessor consensus was for extraversion, and the most accurately assessed traits were neuroticism and agreeableness - with women being more accurate in their assessments.

The relationship between media use and sports participation behavior: A meta-analysis

Objective

The use of media profoundly affects people's sports participation behavior. Past research has presented mixed results on the relationship between media use and sports participation behaviors. Therefore, the relationship between media use and sports participation behavior should be revisited.

Methods

A meta-analysis of 17 independent studies from 12 literature was conducted to determine whether (a) media use positively influences sports participation behaviors, and (b) form of media, media measurement methods, study subjects, and culture moderated these relationships. Pearson's correlation was used to conduct a random-effects meta-analysis and examine the moderating effects.

Results

The results showed a positive correlation between media use and sports participation behaviors (r  =  0.193, 95% CI  =  [0.047,0.329]). Traditional media showed stronger correlations and moderating effects than new media; however, the time variable (in media measurement methods) and primary and secondary school students (in study subjects) showed negative correlations between media use and sports participation behavior. The positive and moderating effects on this relationship were higher in Eastern cultures than in Western cultures. These results suggest that media use and sports participation behavior were positively correlated, moderated by the form of media, media measurement methods, study subjects, and culture within studies.

Conclusions

From the effect test results, a significant positive relationship was found between media use and sports participation behavior (both physical participation behavior and consumption behavior). The two were influenced by several moderating variables including the form of media, media measurement methods, study subjects, and culture, and the influence of media measurement methods was the greatest.

Üniversite Öğrencilerinin Kişilik Özellikleri, Üstbiliş, İnternet Kullanım Fonksiyonu ve Problemli İnternet Kullanım Özelliklerinin İncelenmesi

Üniversite öğrencilerinin problemli internet kullanımı ile ilişkili olabilecek faktörlerin incelenmesinin ve olası risk durumlarının belirlenmesinin önemli olduğu düşünülmektedir. Üniversite dönemi, bireylerin ebeveyn kontrolünden uzaklaşıp kendi kararlarını vermeye ve hayatlarına yön vermeye başladıkları kritik bir dönemdir. Sorunlu internet kullanımı ile cinsiyet, psikiyatrik tanı, üstbilişsel inançlar ve kişilik arasındaki ilişki gösterilmiş olmasına rağmen, mevcut araştırma sayısı sınırlıdır ve bulgular çelişkilidir. Ayrıca internet kullanım süresinin ve amacının yer aldığı ve tüm bu değişkenlerin birlikte incelendiği herhangi bir çalışmaya rastlanmamıştır. Bu çalışmada, üniversite öğrencilerinin kişilik özelliklerini, üstbilişsel inançlarını, internet kullanım işlevlerini ve problemli internet kullanımlarını tanı, cinsiyet ve internet kullanım süreleri açısından incelemek amaçlanmıştır. Veriler yaş ortalamaları 20.11 olan 696 üniversite öğrencisinden toplanmıştır. Araştırmada, betimsel ve parametrik olmayan bağımsız gruplar karşılaştırma analizleri kullanılmıştır (Mann Whitney U Testi ve Kruskal-Wallis Testi). Bu çalışmada, Beş Faktör Kişilik Özellikleri Ölçeği (BFKÖ), Üstbiliş Ölçeği-30 (ÜÖ-30), İnternet Kullanım Fonksiyonları Ölçeği (İKFÖ), İnternette Bilişsel Durum Ölçeği (İBDÖ) ve Demografik Bilgi Formu kullanılmıştır. Analiz sonuçlarına göre, kadınların vicdanlılık ve nevrotizm alt ölçeği puanları daha yüksek bulunmuştur. Analiz sonuçları tanıya göre önemli bir fark olduğunu göstermiştir. Psikiyatrik tanısı olan grubun ölçek puanlarının, nevrotizm, açıklık, kontrol edilemezlik ve tehlike, bilişsel güven eksikliği, ÜÖ-30 toplam puanı ve bilgi işlevleri alt boyutlarında daha yüksek olduğu görülmüştür. Nevrotizm, kontrol edilemezlik ve tehlike, sosyal işlevler, sanal duygusal işlevler, sosyal rahatlık, yalnızlık/depresyon, dürtüde azalma, dikkat dağınıklığı ve İBDÖ toplam puanı alt boyut puanlarının internet kullanım süresi ile doğru orantılı olarak arttığı görülmüştür.

Short video users' personality traits and social sharing motivation

Purpose/significance

Studying the correlation between short video users' personality traits and their sharing motivation can enrich the theoretical research on social sharing motivation and provide a reference for short-video content management and platform construction.

Methods/process

Based on uses and gratifications theory and personality traits theory, a structural model affecting short-video users' sharing motivations was proposed. A total of 579 valid questionnaires were collected from a social network, and the proposed hypotheses were tested using SPSS and Amos software.

Results/conclusion

The results show that the personality traits of short-video users affect their sharing motivation and that their specific sharing motivation also differ due to their personality traits. At the same time, the research results also confirm the Matthew effect of "the rich getting richer" and the social compensation effect of "the poor getting richer" in the context of social platforms that host short videos.

The influence of ideological education on students’ mental health during the pandemic: An empirical analysis based on big data and intelligent model

Ideological education is an important part of students’ education. Good ideological education can greatly reduce students’ mental health problems. Based on relevant theories of psychology, this study analyzes how psychological crises can be warned against through continuous observation of emotions. Further, a psychological crisis warning model is built based on education big data, providing innovative observation methods and ideas for warning college students about psychological crises. The core idea of the model is that stress events are the external cause and personality and mood changes are the internal causes. The calculation, based on the evaluation of stress events and personality, can draw on different types of emotions and emotional threshold intensities to judge emotions. At the same time, the evaluation is based on time sequences of mood changes to judge the psychological crises that college students face by the level of risk. Combining psychological knowledge and machine learning methods, this study proposes a psychological crisis warning algorithm based on educational data, which predicts the duration and intensity of emotions by calculating stressful events and emotional attenuation. The simulation results show that the proposed algorithm can reflect the emotional changes of college students when they are subjected to stress events, and the effectiveness of the proposed algorithm is preliminarily verified. We conducted timely psychological intervention for the students who received negative stimuli, and the results show that timely psychological intervention and ideological education support are necessary and helpful.

How academic performance influences social integration: The moderation effect of cultural distance among Chinese cross-borderers

BACKGROUND

Internal migration or cross-border migration differs from traditional migration. The influence of academic performance on social integration among migration or cross-border student groups has drawn attention.

METHOD

A survey collected data from cross-border students in Mainland China. The sample included 616 university students (bachelor's, master's, and doctoral students) coming from Hong Kong studying in Guangzhou, Guangdong Province.

RESULTS

The moderating effect of cultural distance in the relationship between academic performance and social integration was significantly negative (β = -0.081, p < 0.05). The effect of academic performance on social integration was significantly positive (β = .104, p < .05). Length of time studying in the Mainland, social status, entrance exam score (which might affect the current academic performance), and acquiescence are as the control variable in examining the role of cultural distance in the effect of academic performance on social integration. This result embodies the functionalist theory.

CONCLUSION

The host society is the structural whole requiring the function of social integration, whereas education is the structural component fulfilling the function. When cultural distance is large, the function of education for social integration decreases. The practical implication for enhancing social integration is relieving or bridging the distance.

The influence of pessimism on adverse network behavior during COVID-19: the mediating effect of negative affect and risk perception

There had been an information epidemic during the COVID-19, which led to a lot of adverse network behavior among Internet users. From the perspective of cognition and emotion, this study focused on exploring the influence mechanism of pessimism on undergraduates' adverse network behavior, and introduced the mediating variable of negative affect and risk perception. In this study, a cross-sectional questionnaire was used to evaluate pessimism, negative affect, risk perception and adverse network behavior of undergraduates to explore the characteristics of network behaviors of undergraduates during the COVID-19. 600 undergraduates from three universities in a city in China were selected as participants, among whom 312 students are female and 288 students are male. The results are as follows: (1) Pessimism is positively correlated with adverse network behavior, and pessimism has a significant positive effect on adverse network behavior. (2) Pessimism is positively correlated with negative affect, and negative affect is positively correlated with adverse network behavior. The mediating effect analysis shows that the mediating effect of negative affect on the relationship between pessimistic personality and adverse network behavior has statistical significance. (3) Pessimism is positively correlated with risk perception and risk perception is positively correlated with adverse network behavior. The mediating effect analysis shows that the mediating effect of risk perception on the relationship between pessimistic personality and adverse network behavior has statistical significance.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12144-022-03584-z.

The Role of Personality and Top Management Support in Continuance Intention to Use Electronic Health Record Systems among Nurses

This study examines nurses' Continuance Intention (CI) to use electronic health records (EHRs) through a combination of three conceptual frameworks: the Unified Theory of Acceptance and Use of Technology (UTAUT), the theory of expectation-confirmation (ECT), and the Five-Factor Model (FFM). A model is developed to examine and predict the determinants of nurses' CI to use EHRs, including top management support (TMS) and the FFM's five personality domains. Data were collected from a survey of 497 nurses, which were analyzed using partial least squares. No significant relationship was found between TMS and CI. The study revealed that performance expectancy significantly mediated the influences of two different hypotheses of two predictors: agreeableness and openness to testing CI. A significant moderating impact of conscientiousness was found on the relationship between performance expectancy and CI and the relationship between social influence and CI. The findings of this study indicated that rigorous attention to the personality of individual nurses and substantial TMS could improve nurses' CI to use EHRs. A literature gap was filled concerning the mediating effects of performance expectancy on the FFM-CI relationship, and the moderation effects of Conscientiousness on UTAUT constructs and CI are another addition to the literature. The results are expected to assist government agencies, health policymakers, and health institutions all over the globe in their attempts to understand the post-adoption use of EHRs.

The use of social media as a two-way mirror for narcissistic adolescents from Austria, Belgium, South-Korea, and Spain

The use of social networking sites (SNS or social media) often comes with strong self-centered behaviors to promote self-appearance. The relationship between narcissism and social media use has intensively occupied scholars in the last decade, yet not much research has focused on, first, how the intensity of social media use (SNS use) is associated with narcissism through a self-centered appearance focused use of these SNS; and second, whether these associations are moderated or not by cultural differences of the country of origin in such a critical age of personality formation and (global) culturalization as the transition from pre-adolescence to adolescence. We performed a correlation and mediation analysis on a cross-sectional survey among Austrian, Belgian, Spanish, and South Korean adolescents (n = 1,983; M_age 14.41, 50.3% boys) examining the adolescents’ daily usage of social media, their self-centered appearance focused behavior, and the reported narcissism. Findings show that a self-centered appearance focused use of SNS (SCA) moderates the association between SNS use and narcissism, especially for males from the three European countries. We have also particularly found that the years of use, number of friends and time spent in FB are associated with narcissism. Since SCA is defined in the study as narcissistic behavior in SNS, we argue that social media are part of the socialization process as both reinforcers and catalyzers of narcissism.

Mind the context—The relevance of personality for face-to-face and computer-mediated communication

A large body of research has examined the link between personality and face-to-face (FtF) communication knowledge, skills, abilities, and other characteristics (KSAOs). With the rise of digital media, text-based computer-mediated (CM) communication KSAOs have gained increasing attention. We conducted two studies to investigate how personality relates to KSAOs in the different contexts of FtF and CM communication. Contrasting perspectives hypothesize that the results in the FtF and CM contexts would be very similar or distinctly different. In Study 1 (n = 454), an online panel study, the Big Five personality dimensions were assessed and their relationships to FtF and CM communication KSAOs were investigated. Structural equation models and relative weight regression analyses showed that these personality dimensions, mostly extraversion and neuroticism, explained more variance in FtF as compared to CM communication KSAOs. Study 2 (n = 173), conducted in a laboratory context, showed similar results compared to Study 1. In addition, when the Big Five personality dimensions were assessed with a CM frame of reference, more variance was explained in CM than in FtF communication KSAOs. These results point to the importance of considering context effects in communication and in personality research: FtF and CM communication KSAOs need to be differentiated. If not properly contextualized, the relevance of personality and communication competencies in predicting criteria may be underestimated due to contextual mismatches.

How different online self-presentations relate to life satisfaction differently in college students: The role of positive online feedback and self-esteem

In the Internet age, some online factors, such as online self-presentation, related to life satisfaction have received much attention. However, it is unclear whether and how different strategies of online self-presentation are linked to an individual's life satisfaction differently. Accordingly, the present study examined the possible different relationships between different online self-presentations and life satisfaction with a sample of 460 Chinese college students. Using a series of questionnaires, a moderated mediation model was built in which positive online feedback was a mediator and self-esteem was a moderator. The results indicated that: (1) positive self-presentation was negatively associated with college students' life satisfaction, whereas honest self-presentation was positively related to it; (2) positive online feedback was a significant mediator in such relationships; (3) the mediation process was moderated by self-esteem. Specifically, positive self-presentation was negatively related to positive online feedback only for high self-esteem college students, but negatively associated with life satisfaction only for low self-esteem ones. By contrast, honest self-presentation was positively associated with positive online feedback despite the level of self-esteem, but positively linked with life satisfaction only for those with low self-esteem. The findings suggest that honest rather than positive online self-presentation should be conducive to college students' life satisfaction, particularly for those with low self-esteem. The implications were discussed.

Influence of personality traits on online self-disclosure: Considering perceived value and degree of authenticity separately as mediator and moderator

The Chinese have been spending significantly more time on the Internet during post-pandemic time. When people are confined indoors, there is a greater need to construct an identity and socialize online. Personality traits and perceived value of the media are important factors that affect users' online self-disclosure. This study involved the construction of a mediation model and a moderator model to evaluate the influence of personality traits on self-disclosure on social media. Perceived value was regarded as the mediator while the degree of authenticity was regarded as the moderator. Using a quota sampling method, 1,075 Chinese netizens were surveyed in July and August 2021. The results showed that: (1) The depth of self-disclosure of subjects with extroverted personality was significantly higher than that of those with introverted personality, that is, personality traits affect the depth of self-disclosure; (2) perceived value plays a mediating role in online self-disclosure; (3) The degree of authenticity is a significant moderator in the relationship between personality and self-disclosure. In all, the results from this study contribute to our understanding of how personality traits affect perceived value of media and self-disclosure. This study tested the credibility and validity of the proposed model in the context of the recent COVID-19 pandemic lockdown in China, and the study is a novel approach in that area of research.

The Effect of Interaction between Followers and Influencers on Intention to Follow Travel Recommendations from Influencers in Indonesia Based on Follower-Influencer Experience and Emotional Dimension

Social media has become a very commonplace way for many people to have social interactions. The role of social media has changed from what was originally only a way to bridge social interactions, to becoming a business tool in various industries, one of which is the tourism industry. The interaction between social media users can create new ways to increase public awareness of existing tourist objects. One way to achieve that goal is by utilizing social media influencers. This study aims to identify the factors that influence the intention of the followers to follow the travel recommendations given by the influencer. This study uses the theory of follower-influencer experience and the theory of emotional dimensions, as well as their effect on the level of commitment and intention to follow the recommendation. This research was conducted by distributing surveys through social media and we managed to obtain a total of 203 valid respondents. The results of the study were analyzed using structural equation modeling (SEM), which showed that information experience and homophily experience had a significant effect on pleasure, arousal, and dominance. Pleasure and dominance have a significant effect on commitment, and commitment has a significant effect on the intention to follow the recommendation.

Relationship between personality traits and facebook addiction: A meta-analysis

Personality traits are important factors in determining online behaviors. Especially personality traits are linked with users’ behavior on Facebook. Despite the substantial quantity of studies conducted on the relationship between personality factors and Facebook addiction, researchers have yet to reach an agreement. This study sought to examine the relationship between personality traits and Facebook addiction. In this meta-analysis study, agreeableness, openness to experience and conscientiousness were negatively related to Facebook addiction. Loneliness, narcissism, impulsivity and shyness were significantly correlated with Facebook addiction. Meta analysis also found that geographical location, personality scales, Facebook addiction scales, publication status moderated the link between personality variables and Facebook addiction. The limitations and future directions are discussed.

The Effects of Acute Social Media Exposure on Body Dissatisfaction and Eating Behavior of Male and Female Students

Introduction: Experimental research has examined the effect of social media on body dissatisfaction, but little attention has been given to the impact on eating behavior. Across two studies, we tested the causal relationship between acute social media use, body dissatisfaction and eating behavior. Methods: In Study 1, 80 female participants (age: M = 20.75 years; BMI: M = 21.3) viewed their own Facebook account or a news website before completing a portion size selection task. In Study 2 (pre-registered), 148 participants (81 females; age: M = 20.92 years; BMI: M = 22.19), viewed their own or an experimenter-curated Instagram profile before consuming potato chips ad-libitum. Results: In Study 1, body dissatisfaction was significantly higher in participants who viewed Facebook (compared to a news website) and significantly mediated the effect of condition on portion size selection. In Study 2, regardless of condition females reported significantly smaller ideal body sizes and higher body dissatisfaction compared to males. When females reported a thinner body size as ideal, females in the personal Instagram consumed significantly less potato chips than those in the control Instagram condition. When males reported a smaller actual body size, males in the personal Instagram condition consumed significantly less potato chips than males in the control Instagram condition. Discussion: Findings suggest brief bouts of social media use may produce immediate disruptions to body image of both sexes, and restrained snack intake of females endorsing thin ideals.

Who benefits and appreciates more? An evaluation of Online Service-Learning Projects in Mainland China during the COVID-19 pandemic

Previous studies have reported the feasibility and benefits of online service learning, but little is known about who benefits more from online SL and who is more satisfied. This study addressed these questions based on an evaluation of online service learning projects implemented in Xi'an and Chengdu, China, during the COVID-19 pandemic. Pretest-posttest comparison showed significant positive changes in two intended learning outcomes (i.e., positive youth development qualities and service leadership qualities) and life satisfaction before and after the service among participating students in the Xi'an project. Cross-lagged modeling based on Xi'an and Chengdu data revealed that students with better initial positive youth development qualities tended to show increased service leadership qualities and life satisfaction after the service, while initial service leadership qualities did not predict positive youth development qualities and life satisfaction after the service. However, the two-line test indicated that some of these relationships might be curvilinear. Finally, Pearson correlation analyses demonstrated that students who experienced greater changes in positive youth development qualities and service leadership qualities reported better appraisal of course qualities, teacher performance, and course effectiveness, while multiple regression analyses showed the unique effects of change in service leadership qualities (but not change in positive youth development qualities) on the perception of teacher performance and course effectiveness. Altogether, this study not only showcases the potential benefits of online SL, but also provides initial evidence suggesting the variation in (perceived) benefits by students' psychosocial competencies and learning experiences.

Associations of intensity and emotional connection related to online social networking use on the risk of incident depression among Chinese adolescents: A prospective cohort study

OBJECTIVE

To investigate the longitudinal prediction of intensity and emotional connection (EC) related to online social networking use at baseline on the risk of incident depression at nine-month follow-up among adolescents.

METHODS

A total of 3196 secondary school students, who were online social networking users and free of depression at baseline, were included in this study. Multilevel logistic regression models were applied to investigate the longitudinal prediction of two dimensions of online social networking use intensity (social function use intensity (SFUI), entertainment function use intensity (EFUI)) and EC scores at baseline on incident depression at follow-up.

RESULTS

The incidence of depression was 23.37 per 100-person-years during a nine-month follow-up period. Baseline SFUI and EFUI scores were significantly associated with higher level of incident depression (adjusted OR = 1.017, 95% CI: 1.004-1.029 for SFUI, p = 0.010; adjusted OR = 1.046, 95% CI: 1.012-1.080 for EFUI, p = 0.007), after adjustment of significant background factors and baseline depressive symptom score. The associations of EC at baseline and its interaction with SFUI and EFUI on incident depression were statistically non-significant.

CONCLUSION

Online social networking use seems be a risk factor of depression among adolescents, regardless of its specific functions. Early intervention is recommended to reduce the level of online social networking use intensity as a means of preventing depression among adolescents.

Psychometric assessment of the Bangla version of the Bergen Social Media Addiction Scale

Recently, researchers have raised their concern about problematic engagement in social media use that significantly impacted users’ mental health and daily lives. Therefore, it is important to have a psychometrically sound assessment tool to assess social media addiction. The present study aimed to assess the reliability and validity of the Bangla version of the Bergen Social Media Addiction Scale (BSMAS) for assessing social media addiction among young Bangladeshi adults. In this study, we utilized secondary data that contained information from 577 Bangladeshi university students. Exploratory factor analysis explored a single latent factor, and confirmatory factor analyses supported this structure. Discrimination indices of items in both classical test theory (CTT) and item response theory (IRT) approach suggested that items could discriminate between low scorers and high scorers in this scale. This scale has good internal consistency, composite, and IRT reliability. Multigroup CFA and differential item functioning bias results suggested this scale would be assessed the same construct across gender and usage duration groups (5 h and more vs less than 5 h). Network analysis results suggested relapse following salience as the core symptoms of social media addiction among young Bangladeshi adults. Overall, results suggested the Bangla BSMAS as a psychometrically sound tool to assess symptoms of social media addiction among young Bangladeshi adults. This scale has practical utility to mental health practitioners as this scale provides information about the core symptoms of social media addiction.

Examining the Intention of Authorization via Apps: Personality Traits and Expanded Privacy Calculus Perspectives

By integrating the extended privacy calculus theory with the Big Five personality theory, this research proposes and validates a conceptual model in the context of mobile application (App) information authorization. It investigates the implications of each component of privacy costs, privacy advantages, and trust on users’ willingness to authorize their information, and explores how the five personality traits affect App users’ perceived benefits, privacy concern, and trust. Simultaneously, the links between prior negative experience and privacy concern as well as the final authorizing willingness were uncovered. We employed a questionnaire to collect 455 users’ data, and the partial least squares structural equation model (PLS-SEM) was used to test the hypotheses. The findings demonstrate that App users’ perceived benefits and trust have a positive impact on their privacy authorization intention, whereas privacy concerns negatively affect their disclosure willingness. Just as Extraversion and Agreeableness would make someone pay a heightened attention to the benefits, agreeable, neurotic, and conscientious users are more easily stimulated by privacy concern. Respectively, Agreeableness and Neuroticism affect users’ trust positively and negatively. Additionally, prior negative experience will trigger an individual’s privacy concern, which in turn hinders their willingness to authorize his/her information. All of the aforementioned can serve as a guide for App providers as they optimize the features of their products and services, implement the necessary privacy protections to alleviate users’ privacy concern, and boost users’ trust belief. More importantly, these results effectively demonstrate the significance of personal traits in the formation of users’ privacy perceptions.

The Effect of Brand Personality on Electronic Word-of-Mouth: Mediation of Brand Love and Moderated Mediation of Brand Experience Sharing

The knowledge payment industry will rapidly attract many enterprises that provide knowledge services. This study investigates the interrelationship between brand personality, brand love, and electronic word-of-mouth in the context of knowledge payment. Moreover, this study explored the brand experience sharing boundary condition by adopting a survey. Firstly, the main research results show that brand personality has a significant positive impact on brand love. Secondly, brand love also has a significant positive influence on electronic word-of-mouth. Thirdly, brand experience sharing plays a positive role in regulating brand love and electronic word-of-mouth. This research promotes e-marketing by focusing on brand personality, brand love, e-word of mouth, and other perspectives to improve business operations, user experience, and engagement, providing dedicated products or services to the customer base for profit. As an emerging market, knowledge payment will attract the participation of many knowledge service enterprises.

What Makes Consumers' Intention to Purchase Paid Stickers in Personal Messenger? The Role of Personality and Motivational Factors

Many messengers and social networking services (SNSs) use emojis and stickers as a means of communication. Stickers express individual emotions well, allowing long texts to be replaced with small pictures. As the use of stickers increased, stickers were commercialized on a few platforms and showed remarkable growth as people bought and used stickers with their favorite characters, products, or entertainers online. Depending on their personality, individuals have different motivations for using stickers that determine the usefulness and enjoyment of stickers, affecting their purchase decisions. In the present study, participants (n = 302) who were randomly recruited from a university completed an online questionnaire assessing the Big Five personality characteristics, motivations for using stickers, and the technology acceptance model (TAM). Results using partial least squares structural equation modeling (PLS-SEM) revealed that each personality trait affected different motivations for using stickers. Moreover, motivations for using stickers also influenced different technology acceptance variables. Finally, perceived usefulness, enjoyment, and ease of use had a positive effect on the intention to purchase stickers. This study has implications in that it is an exploratory approach to the intention to purchase stickers, which has been investigated by few prior studies, and it sheds light on the relationship between personality, motivation, and TAM in purchasing stickers. It also suggests that personality and motivation factors can be considered in personalized recommendation services.

Fake or real news? Understanding the gratifications and personality traits of individuals sharing fake news on social media platforms

Purpose

“Fake news” or misinformation sharing using social media sites into public discourse or politics has increased dramatically, over the last few years, especially in the current COVID-19 pandemic causing concern. However, this phenomenon is inadequately researched. This study examines fake news sharing with the lens of stimulus-organism-response (SOR) theory, uses and gratification theory (UGT) and big five personality traits (BFPT) theory to understand the motivations for sharing fake news and the personality traits that do so. The stimuli in the model comprise gratifications (pass time, entertainment, socialization, information sharing and information seeking) and personality traits (agreeableness, conscientiousness, extraversion, openness and neuroticism). The feeling of authenticating or instantly sharing news is the organism leading to sharing fake news, which forms the response in the study.

Design/methodology/approach

The conceptual model was tested by the data collected from a sample of 221 social media users in India. The data were analyzed with partial least squares structural equation modeling to determine the effects of UGT and personality traits on fake news sharing. The moderating role of the platform WhatsApp or Facebook was studied.

Findings

The results suggest that pass time, information sharing and socialization gratifications lead to instant sharing news on social media platforms. Individuals who exhibit extraversion, neuroticism and openness share news on social media platforms instantly. In contrast, agreeableness and conscientiousness personality traits lead to authentication news before sharing on the social media platform.

Originality/value

This study contributes to social media literature by identifying the user gratifications and personality traits that lead to sharing fake news on social media platforms. Furthermore, the study also sheds light on the moderating influence of the choice of the social media platform for fake news sharing.

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

Individ    uals' psychological behaviors and fear of missing out are affected by the global pandemic. This study investigates how individual "Big Five" personality traits influence fear of missing out leading to social media fatigue, the impact of social media fatigue on social media fatigue behavior during the COVID-19 lockdown. As a result, this study proposes and develops a model using the structural equation modelling for data obtained from young adults in the South-Western region of Nigeria. Results show the impact of openness, conscientiousness, and extraversion emotional instability was positively significant towards fear of missing out over the use of social media during COVID-19, whereas the effect of agreeableness and emotional stability were insignificant towards fear of missing out over the use of social media during COVID-19. In addition, the impact of the fear of missing out on social media fatigue influences social media fatigue behavior. Theoretical and managerial implications for "Big Five" personality traits, fear of missing out, social media fatigue, and social media behaviors are provided.

Personality, Attitudes, and Behaviors Predicting Perceived Benefit in Online Support Groups for Caregivers: A Mixed-Methods Study (Preprint)

Background

Online support groups (OSGs) are distance-delivered, easily accessible health interventions offering emotional, informational, and experience-based support and companionship or network support for caregivers managing chronic mental and physical health conditions.

Objective

This study aimed to examine the relative contribution of extraversion, agreeableness, neuroticism, positive attitudes toward OSGs on social networking sites, and typical past OSG use patterns in predicting perceived OSG benefit in an OSG for parents and caregivers of children with neurodevelopmental disorders.

Methods

A mixed methods, longitudinal design was used to collect data from 81 parents across Canada. Attitudes toward OSGs and typical OSG use patterns were assessed using the author-developed Attitudes Toward OSGs subscale (eg, “Online support groups are a place to get and give emotional support”) and Past Behaviors in OSGs subscale (eg, “How often would you typically comment on posts?”) administered at baseline—before OSG membership. The personality traits of extraversion, agreeableness, and neuroticism were assessed at baseline using the Ten-Item Personality Inventory. Perceived OSG benefit was assessed using the author-developed Perceived OSG Benefit scale (eg, “Overall, did you feel supported by other members in this group?”), administered 2 months after the initiation of OSG membership.

Results

A hierarchical regression analysis found that extraversion was the only variable that significantly predicted perceived OSG benefit (R²=0.125; P<.001).

Conclusions

The key suggestions for improving future OSGs were facilitating more in-depth, customized, and interactive content in OSGs.

The Facilitative Effect of Impulsiveness on The Dark Triad and Social Network Sites Addiction

This research investigated the relationships of the Dark Triad, impulsiveness, and social network sites (SNS) addiction with adolescents. In particular, this research examined the indirect effects of the measured motor, attentional, and nonplanning impulsiveness on the relationship of the Dark Triad and SNS addiction. To examine the possible antecedents of SNS addiction, 169 adolescents aged 14-17 were recruited for this research. After obtaining informed consents from their legal guardians, these adolescents completed the Dirty Dozen, the modified Bergen Facebook Addiction Scale, and the Barratt Impulsiveness Scale – version 11. Results showed that the Dark Triad composite score was positively correlated with SNS addiction and the different aspects of impulsiveness, while SNS addiction was positively correlated with motor impulsiveness. The indirect effect of motor impulsiveness on the relationship of the Dark Triad and SNS addiction was significant. The present findings provide theoretical insights to the development of SNS addiction.

A psychologically-inspired fuzzy-based approach for user personality prediction in rumor propagation across social networks

Social networks have emerged as a fertile ground for the spread of rumors and misinformation in recent times. The increased rate of social networking owes to the popularity of social networks among the common people and user personality has been considered as a principal component in predicting individuals’ social media usage patterns. Several studies have been conducted to study the psychological factors influencing the social network usage of people but only a few works have explored the relationship between the user’s personality and their orientation to spread rumors. This research aims to investigate the effect of personality on rumor spread on social networks. In this work, we propose a psychologically-inspired fuzzy-based approach grounded on the Five-Factor Model of behavioral theory to analyze the behavior of people who are highly involved in rumor diffusion and categorize users into the susceptible and resistant group, based on their inclination towards rumor sharing. We conducted our experiments in almost 825 individuals who shared rumor tweets on Twitter related to five different events. Our study ratifies the truth that the personality traits of individuals play a significant role in rumor dissemination and the experimental results prove that users exhibiting a high degree of agreeableness trait are more engaged in rumor sharing activities and the users high in extraversion and openness trait restrain themselves from rumor propagation.

Family factors and personality factors affecting daily SNS usage in individuals aged 14-19 years

Introduction: In recent years, social networking sites (SNS), such as Facebook, Twitter or Instagram have gained immense popularity and have become an essential part of many people’s everyday lives. In Poland, 19 million people, i.e. about a half of the whole population, are active SNS users.

Aim: The aim of the present study was to analyze the relationship of family and personality factors with daily SNS usage time in adolescents aged 14 to 19 years.

Participants: The study included 291 junior-high and high school students aged 14–19 years. In this sample, 246 individuals had an SNS profile.

Methods: The following instruments were used: an Inquiry Form designed by the present authors, Gough and Heilbrun’s Adjective Check List, the Coping with Stress Questionnaire by Janke, Erdmann and Boucsein and the Buss and Durkee Hostility-Guilt Inventory.

Results: Based on correlation coefficients, significant associations were found between increased daily SNS usage and negative relationships with parents, maladaptive coping, and increased aggression.

Conclusions: 1. Participants who spent more time using SNS were more likely to feel lonely in their families and have a sense of not being accepted and understood by their parents.

2. Young people who spent more time using SNS were more likely to respond to a stressful situation with a sense of helplessness and resignation and to cope by downplaying their problems and seeking substitute gratification or support.

3. Young people who spent more time using SNS were more likely to respond with indirect aggression, negativism, suspicion, hostility and verbal aggression.

Exploring the Online Behavior of Users of Online Depression-Focused Communities: Comparing Communities with Different Management Types

Introduction

Online depression-focused communities (ODCs) are popular avenues that help people cope with depression. However, to the best of our knowledge, research on online behavior and differences among users from managed and unmanaged ODCs has not been explored.

Methods

We collected data from the most popular managed depression-focused community (MDC) and unmanaged depression-focused community (UDC) in China. Text classifiers were built using deep-learning methods to identify social support (ie, informational and emotional support) and companionship expressed in the posts of these communities. Based on the content of their posts, community users were clustered into supporters and ordinary members. Econometrics was used to analyze the factors that influence supporters’ contributions and ordinary members’ participation in MDCs and UDCs.

Results

Community response has a positive impact on supporters’ social support and time span in the UDC, but this impact is not significant in the MDC. Supporters expressing positive emotions provide more social support, and they are more willing to serve in the MDC. Supporters expressing negative emotions tend to have longer engagement with the UDC. In addition, community response has a positive effect on ordinary members’ participation in both communities, and this effect is greater in the UDC. Ordinary members expressing positive emotions are more active in the MDC, and ordinary members expressing negative emotions are more active in the UDC.

Conclusion

This study improves the understanding of users’ online behaviors in ODCs, provides decision-making support for designers and managers of ODCs, and provides information that can be used to help improve aid for people with depression provided by community and mental health professionals.

Fostering Cyber-Physical Social Systems through an Ontological Approach to Personality Classification Based on Social Media Posts

The exponential increase in social networks has led to emergent convergence of cyber-physical systems (CPS) and social computing, accelerating the creation of smart communities and smart organizations and enabling the concept of cyber-physical social systems. Social media platforms have made a significant contribution to what we call human behavior modeling. This paper presents a novel approach to developing a users' segmentation tool for the Romanian language, based on the four DISC personality types, based on social media statement analysis. We propose and design the ontological modeling approach of the specific vocabulary for each personality and its mapping with text from posts on social networks. This research proposal adds significant value both in terms of scientific and technological contributions (by developing semantic technologies and tools), as well as in terms of business, social and economic impact (by supporting the investigation of smart communities in the context of cyber-physical social systems). For the validation of the model developed we used a dataset of almost 2000 posts retrieved from 10 social medial accounts (Facebook and Twitter) and we have obtained an accuracy of over 90% in identifying the personality profile of the users.

Personality Analysis Using Classification on Turkish Tweets

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.

Exploration of the Relationships Among Narcissism, Life Satisfaction, and Loneliness of Instagram Users and the High- and Low-Level Features of Their Photographs

We examined the associations between the characteristics of Instagram users and the features of their photographs. Narcissism, life satisfaction, and loneliness were employed for user variables and the features at high- (content) and low-levels (pixel) were employed to analyze the Instagram photographs. An online survey was conducted with 179 university students, and their Instagram photographs, 25,394 in total, were collected and analyzed. High-level features were extracted using Computer Vision and Emotion Application Programming Interfaces (APIs) in Microsoft Azure Cognitive Services, and low-level features were extracted utilizing the program written by the authors. The results of correlation analysis indicate that narcissism, life satisfaction, and loneliness were significantly associated with a part of photograph features at high- and low-levels. The results of the predictive analysis suggest that narcissism, loneliness in total, and social loneliness could be predicted with acceptable accuracy from Instagram photograph features, while characteristics such as life satisfaction, family loneliness, and romantic loneliness could not be predicted. Implications of this research and suggestions for further research were presented.