As I study my undergraduate degree in METU Industrial Engineering, I have realized that I am a person who likes to work on projects in depth and loves doing research and detailed analysis for hours. Throughout my studies I have also pursued internships, and group projects related to optimization and process improvement. These experiences taught me that optimization approach is not always enough for giving the best decisions, especially the data behind it is poorly-conditioned. During my work experiences I have frequently dealt with non-measurable components such as my team members, conflicted decision makers, and most importantly not well-identified variables. I have understood well that I can manage this softness of the real world successfully only if I develop my technical knowledge on analyzing and leveraging the data. With these aspirations I started MS in Information Systems Program. With the Covid-19 outbreak I observed that, there are a lot of misinformation going around and I chose my thesis topic as Detecting Misinformation about the Covid-19. I have done some researches about the topic and participated competitions in the Kaggle about mining facts from the Covid-19 articles. Although I have some experience about the generating facts about the Coronavirus from the websites and articles, I want to develop myself further about the topic while contributing the community for battling misinformation about the Covid-19.