Assessing perceived organizational leadership styles through twitter text mining

by   A. La Bella, et al.

We propose a text classification tool based on support vector machines for the assessment of organizational leadership styles, as appearing to Twitter users. We collected Twitter data over 51 days, related to the first 30 Italian organizations in the 2015 ranking of Forbes Global 2000-out of which we selected the five with the most relevant volumes of tweets. We analyzed the communication of the company leaders, together with the dialogue among the stakeholders of each company, to understand the association with perceived leadership styles and dimensions. To assess leadership profiles, we referred to the 10-factor model developed by Barchiesi and La Bella in 2007. We maintain the distinctiveness of the approach we propose, as it allows a rapid assessment of the perceived leadership capabilities of an enterprise, as they emerge from its social media interactions. It can also be used to show how companies respond and manage their communication when specific events take place, and to assess their stakeholder's reactions.


page 1

page 2

page 3

page 4


A Framework for Detecting Event related Sentiments of a Community

Social media has revolutionized human communication and styles of intera...

Famous Companies Use More Letters in Logo:A Large-Scale Analysis of Text Area in Logo

This paper analyzes a large number of logo images from the LLD-logo data...

Empirical Study on Detecting Controversy in Social Media

Companies and financial investors are paying increasing attention to soc...

Improved Twitter Sentiment Analysis Using Naive Bayes and Custom Language Model

In the last couple decades, social network services like Twitter have ge...

Corporate core values and social responsibility: What really matters to whom

This study uses an innovative measure, the Semantic Brand Score, to asse...

VICSOM: VIsual Clues from SOcial Media for psychological assessment

Sharing multimodal information (typically images, videos or text) in Soc...

Please sign up or login with your details

Forgot password? Click here to reset