iSchool Capstone

Natural Language Processing to Categorize Misinformation

Project tags:

data science & visualization

information literacy

social justice

In recent years there has been an abundance of mis/disinformation around US elections on social media sites like Twitter. Research collectives such as the Election Integrity Partnership investigated this information in real time to analyze and disseminate important details across election stakeholders. However, not all researchers have the quantitative skill sets necessary to access this data at scale. Our project improves the research process of qualitative researchers by creating a Python Jupyter Notebook that allows researchers to gain insight from datasets relevant to the US election.

Project participants:

Zhi Ye


Jade D’Souza


Siya Sharma


Angelina Poltavskiy