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MINISTRY/ORGANIZATION
NAME:-
Bureau of Police research
and development.
PROBLEM STATEMENT:-
Tracking and tracing of fake
news.
TEAM NAME:-IT Coders
TEAM LEADER NAME:-
Vidhan Jain
COLLEGE CODE:- 49200
IDEA-DETAILS:-
Fake news has been a hot topic in the last few years in the form of Troll
Farms and these Hoax News attempt to create public unrest like
Lynching, Cyber Mobbing, Subvert and influence the public perceptions
using social media platforms
Sources : social websites, applications like whatsapp, Facebook,
instagram, fake news channel and other sites many more etc.
SOLUTIONS:-
Desired Solution : The solution will detect Fake news like
Offensive Text-(Comment, Post, Feeds), Offensive
Images(Original or Morphed Pictures) across the Social
Media websites using keywords crawling, APIs, Reverse
Image and AI/ML/Data Mining techniques and original
source of posting and nearer/proximate profiles.
INPUT:-
A headline and a body text - either from the same news article or from two
different articles.
OUTPUT:-
Classify the terms of the body text relative to the claim made in the headline into one of
four categories:
•Agrees: The body text agrees with the headline.
•Disagrees: The body text disagrees with the headline.
•Discusses: The body text discuss the same topic as the headline, but does not take
a position
•Unrelated: The body text discusses a different topic than the headline
PROTOTYPE:-
TECHNOLOGY:-
1)PYTHON
2)DATA PREPROCESSING
3)MACHINE LEARNING
4)IMAGE PROCESSING
5)WEB MINING
6)TEXT MINING
• USE CASES:-
USER:-The person who use this website.
MULTIPLE ORGANIZATION:-Those organization from which
the data will be fetched and then analysed.
DEPENDENCIES OF THE SOFTAWRE:-
The software is depend on those website where we fetched the data
and analysed it. After analysing this data, the percetange of the output
shows that the given message or data is true or not.
THANK YOU!!

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Fake News

  • 1. MINISTRY/ORGANIZATION NAME:- Bureau of Police research and development. PROBLEM STATEMENT:- Tracking and tracing of fake news. TEAM NAME:-IT Coders TEAM LEADER NAME:- Vidhan Jain COLLEGE CODE:- 49200
  • 2. IDEA-DETAILS:- Fake news has been a hot topic in the last few years in the form of Troll Farms and these Hoax News attempt to create public unrest like Lynching, Cyber Mobbing, Subvert and influence the public perceptions using social media platforms Sources : social websites, applications like whatsapp, Facebook, instagram, fake news channel and other sites many more etc.
  • 3. SOLUTIONS:- Desired Solution : The solution will detect Fake news like Offensive Text-(Comment, Post, Feeds), Offensive Images(Original or Morphed Pictures) across the Social Media websites using keywords crawling, APIs, Reverse Image and AI/ML/Data Mining techniques and original source of posting and nearer/proximate profiles.
  • 4. INPUT:- A headline and a body text - either from the same news article or from two different articles. OUTPUT:- Classify the terms of the body text relative to the claim made in the headline into one of four categories: •Agrees: The body text agrees with the headline. •Disagrees: The body text disagrees with the headline. •Discusses: The body text discuss the same topic as the headline, but does not take a position •Unrelated: The body text discusses a different topic than the headline
  • 7. • USE CASES:- USER:-The person who use this website. MULTIPLE ORGANIZATION:-Those organization from which the data will be fetched and then analysed. DEPENDENCIES OF THE SOFTAWRE:- The software is depend on those website where we fetched the data and analysed it. After analysing this data, the percetange of the output shows that the given message or data is true or not.