Explainable Misinformation Identification in Multimodal Media Content

A collage of misinformation and misleading fake news headlines and photos.

A collage of misinformation and misleading fake news headlines and photos.

Bring your excellent programming skills and hard-wroking attitude to help identify misinformation across multimodal content.

Project description

Fake news has altered society in negative ways in politics and culture. It has adversely affected both online social network systems as well as offline communities and conversations. Using automatic machine learning classification models is an efficient way to combat the widespread dissemination of fake news. While research in the area of fake news detection is of high importance for society, most of the existing methods opt for uni-mode approaches, as analyzing multimodal content is often more complicated and the availability of a reasonably sized dataset poses extra challenges.

In this project, we focus on a threat scenario where an image is misused to support a certain narrative expressed in a caption. While none of the content components may be manipulated, but the semantic context they represent together is manipulated/inconsistent.

Project outcome

Students will contribute to a formal research publication.

Project details

Timing, eligibility and other details
Length of commitment About 6-9 months
Start time Anytime
In-person, remote, or hybrid? Hybrid
Level of collaboration Individual project
Benefits Research experience; academic credit
Who is eligible Juniors and seniors with Python programming skills and who have taken courses in machine learning/AI

Project mentor

Sreyasee Das Bhattacharjee

Assistant Professor of Research & Training

Computer Science & Engineering

Phone: (716) 645-4769

Email: sreyasee@buffalo.edu

Start the project

  1. Email the project mentor using the contact information above to express your interest and get approval to work on the project. (Here are helpful tips on how to contact a project mentor.)
  2. After you receive approval from the mentor to start this project, click the button to start the digital badge. (Learn more about ELN's digital badge options.) 

Preparation activities

The specific preparation activities for this project will be customized through discussions between you and your project mentor. Please be sure to ask them for the instructions to complete the required preparation activities.


Computer Science & Engineering