**5.2 Synthesis of previous work carried on multifarious social networking platforms**

Niels et al. [39] focused on determining whether job related social platforms can be leveraged to predict personality of a person. Both organization and individual seeking for opportunities can benefit with such sort of assessment as personality affects the job performance. In first study, the respondents were bifurcated into two samples i.e. student (mean age = 23.1, SD = 2.78) and employed individuals (mean age = 36.8 and SD = 10.87) whereas in second study, a homogonous sample of consisting total of 97 participants from one organization took part. A different set of Big Five questionnaire was utilized. To some extent, self-rated extraversion and self-presentation were found to be predicted via LinkedIn profile. However, Big five traits were not evaluated significantly beyond extraversion [39]. Shyron Qianyun Ma et al. [40] conducted a study to examine personality traits of LinkedIn users. A sample of 301 LinkedIn users with average age of 33 years was utilized. The dataset consisted of 43.2% of individuals with 11 or more years of experience and 62.8% post graduated individuals. Snowball technique was used where each LinkedIn individual was asked to approach other five connections to join via mail. The results displayed a close relation between extraversion and agreeableness with LinkedIn use. Meanwhile no significant relation

was observed between openness and LinkedIn use. It was also found that individuals with high agreeableness were capable of gaining more social bridging capital [40].

Sumer S. Vaid et al. [41] attempted to determine the linkage between personality traits and frequency of using distinct social networking platforms. Big Five and Dark Triad personality was assessed in association with social network specific usage patterns. For this purpose, relation between different types of social media was analyzed followed by personality traits recognition in accordance of individual's inclination towards social media usage. The data gathered from exploratory and confirmatory studies were then put together to run a progression of ad-hoc analysis on pooled dataset [41] (**Table 5**).



#### **Table 5.**

*Predicting personality using LinkedIn and multifarious social media platforms.*
