My research has employed computational methods to study social science issues. Leveraging my background in computer science, I have relied on my programming and digital skills to analyze social science issues that would be challenging to research using human-based research methods alone. Using tools such as Python, Flask, Django, and SQL, I have also become quite adept at creating digital tools for audience research. I have also used Python as a data manipulation tool, preparing large datasets for analysis. Using web scraping techniques and accessing publicly available APIs has provided me with invaluable data sources for academic research.
Related Projects:
- NEWSFLOWS: Research InternshipAs part of my coursework in the PhD in Media and Design program, I undertook an internship working with Dr. Damian Trilling at the…
- News Personalization: Do Journalism Audiences Prefer Algorithms Over Editors?My final project-paper as part of my Master’s in Communication and Culture explores what motivates news organizations to employ algorithmically driven news personalization techniques…
- An Automated Approach to Measuring Online DeliberationThis project proposes a framework for an automated method to measure online deliberation by analyzing commentary surrounding a complex social issue. By employing a…