My tweets bring all the traits to the yard: Predicting personality and relational traits in Online Social Networks

Karanatsiou, Dimitra; Sermpezis, Pavlos; Gruda, Dritjon; Kafetsios, Konstantinos; Dimitriadis, Ilias; Vakali, Athena

doi:10.48550/arxiv.2009.10802

Cited by 1 publication

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“…Our study is unique in that we tested our hypotheses in informal and leader-follower relationships on an online micro-blog platform (i.e., Twitter) using machine learning (ML) prediction models to predict narcissism and Big Five personality traits. The information systems literature has found that text statements can be used to accurately predict the personality traits of individuals (Gruda & Hasan, 2018, 2022Karanatsiou et al, 2020). Using the ML approach to estimate individual characteristics allowed us to test our hypotheses in a large sample of leaders and followers, including a multiverse analysis of the available data.…”

Section: Introductionmentioning

confidence: 99%

Don’t Go Chasing Narcissists: A Relational-Based and Multiverse Perspective on Leader Narcissism and Follower Engagement Using a Machine Learning Approach

Gruda

Karanatsiou

Hanges

et al. 2022

Pers Soc Psychol Bull

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Although research interest in leader narcissism has been on the rise over the past few years, prior literature has predominantly discussed leader narcissism from a leader-centric perspective. In this article, we provide a relational-based perspective of leader narcissism by examining the interaction between follower personality traits and leader narcissism on follower engagement in an online context. We combine a machine learning (ML) approach and multiverse analysis to predict the personality traits of a large sample of leaders and engaged followers across 18 created multiverses and analyze hypothesized interactions using multilevel regressions, also accounting for leader gender moderation effects. We find that the interaction between leader narcissism and follower agreeableness and follower neuroticism positively predicts follower engagement, whereas the interaction between leader narcissism and follower openness negatively predicts follower engagement. In addition, we find that leader gender plays an important moderating role. Limitations and implications are discussed.

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Section: Introductionmentioning

confidence: 99%