Gruda, Dritjon and Karanatsiou, Dimitra and Mendhekar, Kanishka and Golbeck, Jennifer and Vakali, Athena (2021) I Alone Can Fix It: Examining interactions between narcissistic leaders and anxious followers on Twitter using a machine learning approach. Journal of the Association for Information Science and Technology, 72 (11). pp. 1323-1336. ISSN 2330-1635

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Abstract

Due to their confidence and dominance, narcissistic leaders oftentimes can be perceived favorably by followers, in particular during times of uncertainty. In this study, we propose and examine the relationship between narcissistic leaders and followers who are prone to experience uncertainty intensely and frequently in general, namely highly anxious followers. We do so by applying machine learning algorithms to account for personality traits in a large sample of leaders and followers on Twitter. We find that highly anxious followers are more likely to interact with narcissistic leaders in general, and male narcissistic leaders in particular. Finally, we also examined these interactions in the context of highly popular leaders and found that as leaders become more popular, they begin to attract less anxious followers, regardless of leader gender. We interpret and discuss these findings in relation to previous work and outline limitations and future research recommendations based on our approach.

Item Type:	Article
Keywords:	alone; fix; examining interactions; narcissistic leaders; anxious followers; twitter; machine learning approach;
Academic Unit:	Faculty of Social Sciences > School of Business
Item ID:	17630
Identification Number:	https://doi.org/10.1002/asi.24490
Depositing User:	Jon Gruda
Date Deposited:	02 Oct 2023 15:31
Journal or Publication Title:	Journal of the Association for Information Science and Technology
Publisher:	Wiley
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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