Matthew Davis

Computer science

Hometown: Meridian, Idaho

Graduation date: Fall 2018

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FURI | Fall 2018

Twitter Bot Detection Software for Disaster Relief Applications

This research seeks to detect Twitter bots that appear after disasters or other emergencies, which will prevent the spread of fake news and malicious content, make existing disaster relief systems more precise, and improve other disaster relief efforts on social media. The classification, using machine learning techniques, and removal of these bots will prevent human users from accidentally interacting with these bot accounts and being manipulated by them. In the future, a similar bot detection software could be used to identify bots in real-time inside the social media application that a human user is interacting with to improve relief efforts.

Mentor: Huan Liu

More projects from the current symposium

Parsa Fares

Electrical engineering

The Viability of Generative AI in Data Analytics and Summarization

Using generative AI to analyze large student survey datasets will allow teachers to rapidly make improvements to their courses.

Mentor: Chao Wang

Program: FURI

Alma Samuel Babbitt

Computer systems engineering

Verification Code Generation in the Hardware Description Language Verilog

Using large language models for verification code generation in Verilog for integrated circuit designs will shorten testing and remove roadblocks.

Mentor: Nakul Gopalan

Program: FURI

Brian David Ridenour

Materials science and engineering

Covalent Organic Framework-Based Aerogel Composites for Passive Atmospheric Water Harvesting

Incorporating functional nanofillers into nanoporous aerogels would allow for passive water harvesting even in low-humidity, desert air.

Mentor: Kailong Jin

Program: MORE