Individual differences in social networking site users: The interplay between antecedents and consequential effect on level of activity
Introduction
Social Networking Sites (SNSs) are online communities that support social interaction by allowing individual users to maintain a network of connections and actively communicate and correspond with them (Ellison, Steinfield, & Lampe, 2007). While instant messaging and email are typically used for dyadic and one-to-one interactions (Hunt, Atkin, & Krishnan, 2012), SNSs facilitate interaction on a one-to-many basis. The growth of social media has been meteoric, with Facebook – the most popular website in the world – claiming over a billion registered users worldwide in a span of less than a decade (Smith, Segal, & Cowley, 2012). This swift emergence calls for an examination of the communication processes that exist and operate through these channels and the motives behind their use.
Researchers have employed both qualitative and quantitative approaches when examining online social networking, while also looking at specific websites such as Facebook and MySpace (Banczyk et al., 2008, Foregger, 2009). In terms of SNS adoption and use, researchers have looked at individual variables such as reticence, self-esteem, extraversion and need for affiliation (Banczyk et al., 2008, Correa et al., 2010, Gangadharbatla, 2009, Haferkamp and Krämer, 2009). Nevertheless, no over-arching view of SNS communicative behavior exists. Moreover, despite enabling social and communicative features on SNSs, there are conflicting findings on whom SNSs really benefit; Ellison et al. (2007) found that SNSs helped users overcome face-to-face (FtF) social barriers, thus supporting a “poor-get-rich” hypothesis. Others however, have found that SNSs merely benefit those who are already skilled in FtF social interaction, thus supporting the “rich-get-rich” hypothesis (Banczyk et al., 2008, Kraut et al., 2002). Valkenburg, Peter, and Schouten (2006) for instance found that SNS use “stimulated the number of relationships formed on the site, the frequency with which adolescents received feedback on their profiles, and the tone (i.e., positive vs. negative) of this feedback” (p. 584).1 These dual-effects conceptions beg the question – what motives and intentions drive an SNS user? In response to a gap in the computer-mediated communication (CMC) literature – and a call for researchers to investigate the characteristics of a typical SNS user (Raacke & Bonds-Raacke, 2008) – the current study proposes a comprehensive analysis of (1) the personality and communicative traits of SNS users, (2) their attitudes and motivations for SNS use, and (3) the interplay between these antecedent blocks of variables on SNS activity.
One of the most active areas in SNS research involves the examination of motivations behind SNS use. Researchers have examined personality (Bonds-Raacke and Raacke, 2010, Langstedt, 2013, Quan-Haase and Young, 2010), self-esteem (Steinfield, Ellison, & Lampe, 2008), narcissism (Bergman et al., 2011, Buffardi and Campbell, 2008) and need for affiliation (Haferkamp & Krämer, 2009). However, there remains a dearth of research on the influence of these variables on user motivations and SNS activity. Thus, in an effort to explicate SNS activity, we begin with an examination of personality traits as antecedents.
A key focus in media adoption research, the study of personality traits is commonly measured in psychology as a broad structure encompassed by dimensions or the “Big-Five” – extraversion, neuroticism, openness to experience, agreeableness and conscientiousness (Galauner et al., 2011, Goldberg, 1993, Langstedt and Atkin, 2014, McCrae and Costa, 1999). The study of personality traits has been extended to examine various forms of CMC, including SNSs. Extraversion has consistently emerged as a driving force in relationship formation and maintenance on SNSs (Back et al., 2010); it has also been found to be significantly related to the size of one’s network and to level of activity and self-presentation on SNSs (Acar, 2008, Krämer and Winter, 2008). Openness, which has been linked to experimenting with new forms of communication (Butt & Phillips, 2008) has been shown to be a significant predictor of SNS use (Banczyk et al., 2008, Ross et al., 2009). Based on the literature, which suggests that extraversion and openness are strong and consistent predictors of SNS use, the decision was made to incorporate only these two personality dimensions in the current study.
Conversely, Ross et al. (2009) maintain that researchers should not limit themselves to studying personality traits derived from the Big-Five schema (Costa & McCrae, 1992). Pearse (2013) argues, for instance, that social media are a stage for narcissism and preliminary research (Bergman et al., 2011, Valkenburg et al., 2006) has uncovered a link between the two. Narcissism is characterized by an inflated self-concept, a sense of uniqueness and entitlement, and positive self-view of traits like intelligence and extraversion (Brown and Zeigler-Hill, 2004, Emmons, 1987, John and Robins, 1994). In order to maintain their inflated sense of self, narcissists rely on multiple strategies including domineering and exhibitionist behaviors (Buss and Chiodo, 1991, Twenge and Campbell, 2003). Since SNSs allow users to promote themselves in an ideal fashion through pre-selected information, they are an idyllic setting for narcissists to engage in exhibitionist and self-promoting behavior (e.g., Bergman et al., 2011).
Self-esteem has been at the center of conflicting findings regarding its effect on SNS behavior (Krämer and Winter, 2008, Valkenburg et al., 2006). Valkenburg et al. (2006) found that SNS use had beneficial effects on users’ self-esteem and life satisfaction. Concurrently, Banczyk et al. (2008) showed that SNS users with high self-esteem were more likely to engage in positive self-presentation behaviors. Conversely, Krämer and Winter (2008) did not find any relationship between self-esteem and self-presentation behavior on SNSs. The inconsistency in findings regarding the effect of self-esteem thus deserves additional attention.
Communication apprehension (CA) refers to a trait-level and more recently state-like anxiety about communicating with other people (McCroskey & Beatty, 1984). CA is a variable of interest because researchers believe that mediated forms of communication allow people–particularly those with CA – a stress-free way to interact with others (Lemieux, 2007). Although there is some precedent in the SNS literature regarding computer-mediated CA (Hunt et al., 2012), research has yet to explore the impact of FtF CA on SNS use; thus we can only speculate on the effect of apprehension to communicate on consequential SNS behavior.
The primary purpose of most communication is to seek affiliation with others (e.g., Haferkamp and Krämer; 2009). The need to belong or affiliate with others in a social group is a defining characteristic of being human (Hill, 1987). This need for affiliation (NA) – to find friends and social support – has been used to explain motivations to join virtual communities (Ridings & Gefen, 2004). In fact, social affiliation is the most important motivating factor in using SNSs (Haferkamp & Krämer, 2009). Despite some evidence underscoring the importance of affiliative behavior on SNS use, there still remains a dearth of literature on this topic.
Technology-oriented and social scientific theories on media choice tend to look at the attributes of the medium or the encompassing social framework to explain people’s reasons for choosing certain media (Campbell and Russo, 2003, Irmer and Bordia, 2003), while ignoring the value of attitudes on possible media choice. With respect to SNSs, Gangadharbatla (2009) illustrated that attitudes significantly predict people’s willingness and intention to join SNSs, which in turn positively predict actual usage. Since positive attitudes towards a new communication technology are a key motivator in adoption (Carey, 1995, Lin and Atkin, 2014, Straub and Karahanna, 1998), it stands to reason that attitudes towards SNSs will influence motives for use and subsequent SNS behavior.
Based on the of the theoretical dynamics outlined in past work, we propose a model that seeks to explain the effect of antecedent variables such as personality and communication traits, need for affiliation, self-esteem, attitudes and motives in order to predict level of activity on SNSs. The structural model can be viewed as a series of five blocks – personality traits, social and communication influencers, attitudinal variables, motives, and finally SNS activity. The model predicts that level of activity will be directly influenced by female gender – initially a predictor of SNS use (Hunt et al., 2012, Sheldon, 2008, Sheldon, 2009) – although this gender gap has leveled over time and leaves its valence in question (Lin & Atkin, 2014).2 SNS use is also posited to be influenced by extraversion, NA, attitudes towards SNSs, and motives for using SNSs. Due to a lack of consistent data, research questions are proffered about the relationship between female gender and personality traits. The second block of variables includes social and communicative motives – NA, CA and self-esteem. Based on the evidence mentioned above, extraversion will have a direct negative effect on CA, which in turn will mediate the effect of extraversion on self-esteem. Narcissism will positively influence NA; which in turn will be positively affected by gender. There is limited knowledge about the impact of openness on social and communicative variables–particularly in the online context – hence a research question is posited as to the magnitude and direction of that relationship.
Based on previous linkages drawn between self-esteem and social affiliation on online interactions (Haferkamp and Krämer, 2009, Ridings and Gefen, 2004, Shaw and Gant, 2002, Valkenburg et al., 2006), we posit that NA and self-esteem will positively influence attitudes. Attitudes have been shown to affect behavioral intentions towards adopting a new technology and eventual adoption. Thus, motives to use SNSs can be proffered as a consequent block of variables following attitudes. Since the exact relationship between these two sets of variables remains unclear, a research question is posited; i.e., “how do SNS-related attitudes relate to SNS use motives?” The final block of variables refers to SNS behavior – specifically level of activity – which is hypothesized to be directly influenced by gender, extraversion, NA, attitudes and motives (see Fig. 1).
Section snippets
Participants and procedures
College students, identified as a key cohort of technology-savvy users who make extensive use of SNS’s (Lenhart & Madden, 2007) were recruited for this study. The study was hosted online using an internet-based survey software. Instructors in the participating courses announced the study in their classes and offered students extra credit for voluntary study participation. Students who wished to participate were instructed to review the informed consent form posted online to indicate their
Test of the hypothesized model of SNS activity
The hypothesized model was tested using the structural equation modeling software AMOS. As predicted, results showed support for the direct effects of extraversion (β = .14, p < .001) and female gender (β = .26, p < .001) on SNS activity. In addition, SNS activity was directly affected by motives to use SNSs as a social tool (β = .29, p < .001) and to conform to others (β = .07, p < .05). With respect to personality traits, female gender had a significant and moderate positive impact on extraversion (β = .14, p <
Discussion
As hypothesized in this study, support was found for a multidimensional model of SNS motivations and activity. Firstly, extraversion predicted level of activity on SNSs; this finding is not only consistent with previous studies (Acar, 2008, Back et al., 2010), but it also lends support to the “rich-get-rich” hypothesis (Banczyk et al., 2008, Kraut et al., 2002, Mou et al., 2013, Mou et al., 2011). SNSs seem to be an ideal medium for people who are already skilled in FtF interaction; the
Conclusion
The internet can be viewed as a mass medium, an interpersonal medium and now, with the presence of ONSs, a social medium. Open CMC environments such as SNSs have profound effects on online social and communicative behavior. In order to fill a gap in the literature, the present study proposed and tested a structural model of personality traits, communicative and social variables, attitudes and motives and their effect on the level of activity on these websites. Despite certain limitations (e.g.,
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