Inferring Employee Engagement from Social Media

Abstract

Employees increasingly are expressing ideas and feelings through enterprise social media. Recent work in CHI and CSCW has applied linguistic analysis towards understanding employee experiences. In this paper, we apply dictionary based linguistic analysis to measure 'Employee Engagement'. Employee engagement is a measure of employee willingness to apply discretionary effort towards organizational goals, and plays an important role in organizational outcomes such as financial or operational results. Organizations typically use surveys to measure engagement. This paper describes an approach to model employee engagement based on word choice in social media. This method can potentially complement surveys, thus providing more real-time insights into engagement and allowing organizations to address engagement issues faster. Our results predicting engagement scores on a survey by combining demographics with social media text demonstrate that social media text has significant predictive power compared to demographic data alone. We also find that engagement may be a state than a stable trait since social media posts closer to the administration of the survey had the most predictive power. We further identify the minimum number of social media posts required per employee for the best prediction.

Demanding by Design

“…The notion of additional work as meaningful is one that has been raised in previous research, e.g. when employees choose to contribute free labour as a demonstration of engagement with an organisation [41], yet it has not previously been tied to the arena of relationships. Our data suggested that effort was highly valued when it was perceived as going beyond basic relational expectations.…”

Factors Shaping the Cashless Payment Ecosystem: Understanding the Role of Participating Actors

“…Machine Learning (Video, Audio, Text) (Angrave et al, 2016;McIver et al, 2018;Shami et al, 2015); (Fecheyr-Lippens et al, 2015;Silvestre et al, 2015)…”

Characterising Behavior and Emotions on Social Media for Safety: Exploring Online Communication between Police and Citizens

“…Research shows that emphasis on social themes and efforts while connecting with other individuals causes stronger social and collaborative relationships among groups trying to achieve common objectives [40]. Collaborative actions in the context of policing can increase social cohesion and reduce safety concerns among citizens [25].…”