Can 280 Characters Speak for Researchers? Leveraging Twitter Data for Unobtrusive Measurement of Academics’ Well-Being

Understanding and promoting researchers' well-being is crucial for achieving successful research outcomes and fostering a thriving scientific community. While conventional well-being assessments can be resource-intensive, social media language analysis offers a promising solution. This research-in-progress aims to evaluate the potential of Twitter (now “X”) data in providing insights into researchers' well-being. To address this research question, we will derive researchers’ well-being from our available Twitter dataset and use survey data on a known event (i.e., initial phase of the COVID-19 pandemic) for external validation of our results. By assessing the eligibility of data from academic social networks as a well-being indicator for researchers, we aim to lay the groundwork for real-time monitoring for informed decision-making and foster a supportive research environment. unknown unknown