the data collected by U.S. Center for Disease Control andPrevention, and shows that Twitter data can improve the model prediction accuracy [12]. Theseefforts suggest that social media is an appropriate channel for better understanding STEMeducation issues.STEM education has a key implication for the workforce development and thus, the distributionof STEM workforce can be a reflection of the state of STEM education in the society.Unfortunately, the recent events and campaigns for stereotyping in the workforce indicate the poordiversity of STEM workers and how the minorities are stereotyped – particularly women. Thisbehavior further undermines the efforts to raise awareness for STEM education. On the other hand,there are several initiatives by