Research

➤ Doctoral research overview

“What do you want to be when you grow up?”

“Where do you see yourself in five years?”

These are questions that have been asked throughout child- and young adult-hood. Family, friends, and teachers are among the information sources that shape people’s answers to these questions. As social media platforms become another source of everyday information, the content people see online can also influence how they perceive the working world, understand various career paths, and plan and achieve career goals.

My doctoral research focuses on social media’s role in people’s career development processes in a changing world of work. I’m especially interested in how young adults (ages 18 to 25) learn about the working world and form career aspirations based on the social media content they encounter. I also explore what influences these effects, including platform infrastructure, trends, and content styles. I primarily employ an interpretivist approach to analyzing qualitative data collected from interviews, surveys, and content analysis.

My early doctoral research highlights how exposure to career-related content on social media can shape career identity by expanding awareness of possibilities while evoking social comparison and self-evaluation. My dissertaion builds on this work using a multi-method approach to explore (a) what common narratives and sentiments about careers are shared on social media, (b) how young adults perceive and experience these messages, and (c) how these messages compare to those from other influential sources of information.

As an extension of my dissertation, I’m collaborating with researchers in the Computer Science and Engineering department to build an AI-enabled system. This tool will automatically collect and analyze career-related social media content, which can be used by career practitioners at colleges and universities (e.g., advisers and counselors) to expand their knowledge about the working world and to inform their career services and guidance practices.

📌 Research areas: human-computer interaction (HCI)/social computing; computer-supported cooperative work (CSCW); communication and media studies; social psychology; vocational psychology

📌 Research keywords: social media; user-generated content; career development; workforce development; socialization; identity; young adults

Illustration by Davide Bonazzi

➤ Doctoral program milestones

➤ Research trajectory

My passion for learning and spreading knowledge sparked when I joined my high school’s first-ever Robotics team in 2015. Learn about my experiences in Robotics here. My first formal research experience began in 2018 through the University of Michigan’s Undergraduate Research Opportunities Program (UROP) with a project under the School of Information. I learned more about what research is, why it’s important, and how I can make an impact through it. Since then, I’ve been part of different research projects throughout my time as an undergraduate which has led me to pursue a Ph.D. in Information Science.

I’m currently affiliated with the Socio-Technical Equity in Practice (STEP) lab and the iSchool Inclusion Institute (i3). I was previously affiliated with the University of Michigan Center for Academic Innovation (CAI), the Positive Technologies (Posi+ech) research group, the Social Media Research Lab (SMRL), Marginality in Socio-technical Systems (MiSTS) lab, Community Research on Identity and Technology (CRIT) lab, and Anthropology of Technology Lab (ATL).

Learn more about all the research projects I’ve had the honor to work on below!