Exploring the sentiment of entrepreneurs on Twitter

Sentiment analysis is an evolving field of study that employs artificial intelligence techniques to identify the emotions and opinions expressed in a given text. Applying sentiment analysis to study the billions of messages that circulate in popular online social media platforms has raised numerous opportunities for exploring the emotional expressions of their users. In this paper we combine sentiment analysis with natural language processing and topic analysis techniques and conduct two different studies to examine whether engagement in entrepreneurship is associated with more positive emotions expressed on Twitter. In study 1, we investigate three samples with 6.717.308, 13.253.244, and 62.067.509 tweets respectively. We find that entrepreneurs express more positive emotions than non-entrepreneurs for most topics. We also find that social entrepreneurs express more positive emotions, and that serial entrepreneurs express less positive emotions than other entrepreneurs. In study 2, we use 21.491.962 tweets to explore 37.225 job-status changes by individuals who entered or quit entrepreneurship. We find that a job change to entrepreneurship is associated with a shift in the expression of emotions to more positive ones

What’s in a face? Facial appearance associated with emergence but not success in entrepreneurship

Facial appearance has been associated with leader selection in domains where effective leadership is considered crucial, such as politics, business and the military. Few studies, however, have so far explored associations between facial appearance and entrepreneurship, despite the growing expectation that societies project on entrepreneurs for providing exemplary leadership in activities leading to the creation of disruptive start-ups. By using computer vision tools and a large-scale sample of entrepreneurs and non-entrepreneurs from Crunchbase, we investigate whether three geometrically based facial characteristics - facial width-to-height ratio (fWHR), cheekbone prominence, and facial symmetry - as well as advanced statistical models of whole facial appearance, are associated with a) the likelihood of an individual to emerge as an entrepreneur and b) the performance of the company founded by that individual. We find that cheekbone prominence, facial symmetry and two whole facial appearance statistical models are associated with the likelihood of an individual to emerge as an entrepreneur. In contrast to entrepreneurship emergence, none of the examined facial characteristics are associated with performance. Overall, our results suggest that facial appearance is associated with the emergence of leaders in the entrepreneurial endeavor, however, it is not informative about their subsequent performance