I Alone Can Fix It: Examining interactions between narcissistic leaders and anxious followers on Twitter using a machine learning approach. (11th May 2021)
- Record Type:
- Journal Article
- Title:
- I Alone Can Fix It: Examining interactions between narcissistic leaders and anxious followers on Twitter using a machine learning approach. (11th May 2021)
- Main Title:
- I Alone Can Fix It: Examining interactions between narcissistic leaders and anxious followers on Twitter using a machine learning approach
- Authors:
- Gruda, Dritjon
Karanatsiou, Dimitra
Mendhekar, Kanishka
Golbeck, Jennifer
Vakali, Athena - Abstract:
- 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.
- Is Part Of:
- Journal of the Association for Information Science and Technology. Volume 72:Number 11(2021)
- Journal:
- Journal of the Association for Information Science and Technology
- Issue:
- Volume 72:Number 11(2021)
- Issue Display:
- Volume 72, Issue 11 (2021)
- Year:
- 2021
- Volume:
- 72
- Issue:
- 11
- Issue Sort Value:
- 2021-0072-0011-0000
- Page Start:
- 1323
- Page End:
- 1336
- Publication Date:
- 2021-05-11
- Subjects:
- Information science -- Periodicals
Information technology -- Periodicals
020.5 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/%28ISSN%292330-1643 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/asi.24490 ↗
- Languages:
- English
- ISSNs:
- 2330-1635
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4704.325000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19150.xml