A study of the relationship between narcissism, extraversion, drive for entertainment, and narcissistic behavior on social networking sites

Wang, Di

doi:10.1016/j.chb.2016.09.036

Cited by 38 publications

(30 citation statements)

References 31 publications

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“…As can be seen, the fraction of news sharing of introverts (0.6122%) is three more times than that of extroverts (0.1939%), contrarily, extroverts enjoy sharing more videos, music and selfies in social media than introverts, especially the selfies, e.g., the fraction of selfie tweets for extroverts is 0.3539% and is much higher introverts' 0.1276%. It is widely believed that selfie is connected with individual narcissism [50,51,52] and our findings further suggest that extraversion is positively coupled with selfie in social media.…”

Section: Online Activitiessupporting

confidence: 76%

Extroverts tweet differently from introverts in Weibo

Zhou

Zhao

2018

EPJ Data Sci.

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Being dominant factors driving the human actions, personalities can be excellent indicators in predicting the offline and online behavior of different individuals. However, because of the great expense and inevitable subjectivity in questionnaires and surveys, it is challenging for conventional studies to explore the connection between personality and behavior and gain insights in the context of large amount individuals. Considering the more and more important role of the online social media in daily communications, we argue that the footprint of massive individuals, like tweets in Weibo, can be the inspiring proxy to infer the personality and further understand its functions in shaping the online human behavior. In this study, a map from self-reports of personalities to online profiles of 293 active users in Weibo is established to train a competent machine learning model, which then successfully identifies over 7,000 users as extroverts or introverts. Systematical comparisons from perspectives of tempo-spatial patterns, online activities, emotion expressions and attitudes to virtual honor surprisingly disclose that the extrovert indeed behaves differently from the introvert in Weibo. Our findings provide solid evidence to justify the methodology of employing machine learning to objectively study personalities of massive individuals and shed lights on applications of probing personalities and corresponding behaviors solely through online profiles.The online social media has being becoming an essential component of everyday life, which even reflects all aspects of human behavior. Millions of users have digitalized and virtualized themselves in popular platforms like Twitter and Weibo, including basic demographics, plenty of statuses, abundant emotions and diverse activities. These online profiles can be natural, detailed, long-term and objective footprints of massive individuals and thus they could be promising proxies in understanding human personalities [1,2]. Since its beginning being a sub-discipline of psychology, the study of human personalities has aimed at one general goal, which is to describe and explain the significant psychological differences between individuals. Revealing the connection between different personalities and corresponding behavioral patterns, especially in the circumstance of online social media, is one of the most exciting issues [3,4,5] in recent decades. And a growing body of evidence implying individual personality discrepancy in online social media further makes it imperative in probing online human behavior from views of personalities [6,7,8].Personality is a stable set of characteristics and tendencies which specify similarities and differences in individuals' psychological behavior and it is also a dominant factor in shaping human thoughts, feelings and actions. However, personality traits, like many other psychological dimensions, are latent and hard to be measured directly. Self-report of asking subjects to fill survey questionnaires referring to personalities is a classical ...

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Section: Online Activitiessupporting

confidence: 76%

Extroverts tweet differently from introverts in Weibo

Zhou

Zhao

2018

EPJ Data Sci.

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“…Additional personality traits have also been shown to account for individual differences in WeChat usage, such as posting more selfies on WeChat has been associated with higher extraversion (Guo et al, 2018). Wang (2017) pointed out that this kind of self-presenting/promoting behavior might additionally be associated with the personality trait of narcissism. Finally, Lin and Lei (2016) observed that the personality of a WeChat user could also predict if he or she receives many “Likes” on the shared moments .…”

Section: Overview On Previous Empirical Work: Motivations That Drive mentioning

confidence: 99%

The Multipurpose Application WeChat: A Review on Recent Research

2018

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With currently over one billion monthly active users, the Chinese social media and multipurpose application WeChat (, Wēixìn, micro-message) has become one of the world’s most popular social media platforms. Despite its enormous number of users in Asia, WeChat is still not well known in Western countries. Against this background, the present review aims to provide the reader with a comprehensive overview on the functionality of this application, comparison with other popular applications such as Facebook/WhatsApp and previous research. Although WeChat has become an integral part of everyday life for many users, research has only recently begun to examine the impact of this development on the societal and individual levels. The present review summarizes the literature on this topic with a focus on the motives to engage in using the app and potential detrimental effects of excessive use. In the context of the growing popularity and increasing usage times of the app – in particular in Asian countries – future research seems warranted to examine systematically how social media platforms such as WeChat will affect interpersonal communication behavior, well-being, and mental health. The direct comparison of WeChat’s influence on the mentioned variables compared with its competitors Facebook and WhatsApp often used in Western countries will also be of high importance.

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“…Psychologically, narcissists show a high tendency for self-admiration and self-presentation (Wang 2017). A study indicated that there is a strong association between narcissism and reward-seeking behavior (Bushman and Baumeister 1998).…”

Section: Narcissismmentioning

confidence: 99%

“…Social media like Facebook, Twitter, or Instagram is a platform, where self-confidence of a narcissist speaks by itself (Moon et al 2016;Wang 2017). For example, the following tweet of Trump: …my two greatest assets … mental stability and being, like, really smart … I went from VERY successful businessman, to top TV Star….…”

Section: Reacting a Positive Feedbackmentioning

confidence: 99%

Narcissism and fame: a complex network model for the adaptive interaction of digital narcissism and online popularity

2020

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Social media like Twitter or Instagram play the role of fertile platforms for self-exhibition and allow their users to earn a good repute. People higher in grandiosity share their contents in a charismatic way and as a result, they are successful in gaining attention from others, which may also influence their responses and behaviors. Such attention and repute enable them to be a trendsetter or a socially recognized maven. In this paper, we present a complex adaptive mental network model of a narcissist to see how popularity can adaptively influence his/her behavior. To analyze and to support behavior showed by our model, we used some key performance indicators from the literature to study the popularity and narcissism of 30 Instagram profiles. The results of the—both computational and empirical—study indicate that our presented computational adaptive network model in general shows the behavior found from the empirical data.

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A study of the relationship between narcissism, extraversion, drive for entertainment, and narcissistic behavior on social networking sites

Cited by 38 publications

References 31 publications

Extroverts tweet differently from introverts in Weibo

Extroverts tweet differently from introverts in Weibo

The Multipurpose Application WeChat: A Review on Recent Research

Narcissism and fame: a complex network model for the adaptive interaction of digital narcissism and online popularity

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