Project Report

Published on: September 14th, 2023

Misinformation



image-source: 123rf.com homepage: shutterstock

Project #1

Problem Statement: Automated systems for detecting and categorizing misinformation across different types of media.

Objective:

  1. Conduct a systematic literature review of AI-based misinformation detection techniques across various media formats, including text, images, and videos.
  2. Categorize and analyze these techniques with a focus on automation.

Students:

  • Bhavormi Somaiya (AI-DS)
  • Arish Manasia (AI-DS)

Project #2

Problem Statement: Using machine learning algorithms to identify the sources and patterns of misinformation and predict its potential impact on public opinion and behavior.

Objective:

  1. Conduct a systematic literature review of how machine learning is employed to identify patterns in misinformation across different media types, such as text, images, and videos.
  2. Analyze the societal impact of misinformation.

Students:

  • Oam Bhanushali (AI-DS)
  • Aditya Mer (AI-DS)

Project #3

Problem Statement: Building models to track the evolution of misinformation over time and to analyze the social networks and online communities that play a role in its dissemination.

Objective:

  1. Develop an impact model of misinformation.
  2. Analyze the role of social networks and other media platforms in the spread of misinformation.

Students:

  • Shivam Singh (AI-DS)
  • Rishikesh Giridhar (AI-DS)


Guide:Dr. G. S. Mani, Dr. Neha Sharma, Dr. Milind Nemade , Prof. Sejal Shah


<-back