COVID19 Social Media Research: Undergraduate Research Assistant for COVID19 Rumor/Misinformation Analysis on Twitter - Computer Science

Seeking 4 students who will be involved in interdisciplinary research in Artificial Intelligence at the Complex Adaptive Systems Laboratory (CASL). This research aims to study misinformation propagation in the Twitter platform in the domain of COVID19. We have collected over 4 months of COVID19 tweets and have developed a misinformation/rumor annotation mechanism to verify the trustworthiness of the information shared on social media. The students will be involved in different phases of this project: Annotation, Visualization, Analysis, etc.

Project Dates

Start Date: 5/20/2020 - End Date: 8/31/2020

Students Needed

Type of Project


Student Responsibilities

The students will be part of the research team and their responsibilities will be determined in accordance with the phase of the project, students’ backgrounds and interests.

Time Commitment

5 hour(s)

Student Requirements

Having an interest in Natural Language Processing and Machine Learning research is preferred. Students should be familiar with Microsoft Office and Zoom. Excellent and professional collaboration with other team members and mentors is required.

Interested in Working With the Following Programs

For EXCEL URE Students Only
Research and Mentoring Program

Additional Notes

To apply, please email your CV/Resume to the email address listed with this entry and include a paragraph explaining your interest and/or any research background which makes you an eligible candidate for this position.

Position Overview

  • Date Posted: 05-21-2020
  • Research Categories:
    • Computer Science
    • Engineering
  • Location:
    • Orlando (Main Campus)
  • Paid: No