Misinformation Detection for Safe Transportation Systems
This project is focused on developing a methodology for the detection of misinformation regarding transportation systems on social media. A novel dataset combining Twitter and traffic sensor data will be constructed and shared with the broader community. This will be the first large-scale public dataset for research on this topic. A comprehensive characterization of the dataset, correlating traffic events and tweets will be performed. One key question to be investigated is whether misinformation related to transportation follows similar patterns to misinformation in other domains, such as vaccines and politics. Results from the characterization will be applied to identify potential fake tweets related to traffic events. This analysis will be combined with a manual inspection to generate a set of labeled tweets that will be used for training semi-supervised methods for misinformation detection related to transportation. The proposed approach will be compared against alternatives from the literature. The main findings will be summarized in the project report and in at least one publication. Software, datasets, and metadata produced through the project will be made publicly available.
- Record URL:
-
Supplemental Notes:
- This material is based on work supported by the U.S. Department of Transportation, OST-R, University Transportation Center Program, the USDOT Tier 1 UTC Transportation Cybersecurity Center for Advanced Research and Education (CYBER-CARE).
Language
- English
Project
- Status: Active
- Funding: $60,000.00
-
Contract Numbers:
69A3552348332
-
Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Project Managers:
Zhang, Yunpeng
Kline, Robin
-
Performing Organizations:
Transportation Cybersecurity Center for Advanced Research and Education (CYBER-CARE)
University of Houston
Houston, TX United States Houston, Texas United States -
Principal Investigators:
Arlei, Silva
- Start Date: 20230701
- Expected Completion Date: 20260630
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Accuracy; Data analysis; Detection and identification systems; Sensors; Social media; Traffic data
- Identifier Terms: Twitter
- Subject Areas: Data and Information Technology; Operations and Traffic Management; Security and Emergencies; Transportation (General);
Filing Info
- Accession Number: 01953919
- Record Type: Research project
- Source Agency: Transportation Cybersecurity Center for Advanced Research and Education (CYBER-CARE)
- Contract Numbers: 69A3552348332
- Files: UTC, RIP, STATEDOT
- Created Date: Apr 29 2025 4:51PM