Restricted Research - Award List, Note/Discussion Page
Fiscal Year: 2023
1434 University of Houston (143322)
Principal Investigator: Dong,Zhijie
Total Amount of Contract, Award, or Gift (Annual before 2011): $ 38,515
Exceeds $250,000 (Is it flagged?): No
Start and End Dates: 12/1/22 - 10/31/23
Restricted Research: YES
Academic Discipline: Construction Management
Department, Center, School, or Institute: Construction Management
Title of Contract, Award, or Gift: I-CORPS: Social media misinformation interactive dashboard
Name of Granting or Contracting Agency/Entity:
National Science Foundation
CFDA: 47.000
Program Title: n/a
Note:
This I-Corps project is based on the development of automated data collection, data analytics, and deep learning methodologies. The goal is to develop an application and associated website that centralizes up-to-date misinformation content and metrics. Such a solution will provide potential customers with an enterprise-level system to help better understand the implications and types of misinformation spread across social media platforms. Currently, an array of tools to interact with misinformation content is under development. Pipelines are being constructed to channel and store raw data using the selenium framework for the collection step. Thesedata are stored locally and will act as the raw information to support the finalized dashboard. Deep learning models that are trained to identify text-based misinformation have been developed with the goal of expanding to image, sound, and video identification to address current social content trends. This Transformers framework also identifies sentiment on specified topic groups to support analysis. The proposed technology involves multiple research areas, including big data, natural language processing, artificial intelligence, and statistical analysis. SAMs 1.1.1
Discussion: No discussion notes